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    <loc>https://www.verdenforensics.com/articles</loc>
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    <lastmod>2026-05-25</lastmod>
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  <url>
    <loc>https://www.verdenforensics.com/articles/super-resolution</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/635c6272-665a-4cdd-82b5-c2715e3230e8/Video+Expert+%7C+Image+Expert+%7C+Forensics+Expert+%7C+CCTV+Expert+%7C+Facial+Comparison+Expert</image:loc>
      <image:title>Articles - What Is Super-Resolution in Forensic Video Analysis? - Make it stand out</image:title>
      <image:caption>Figure 1: Sequence of low-resolution plates with sub-pixel shifts [-0.5,0.5] and resulting super-resolution image.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/176dfd88-520d-4b12-bbf5-95f0244c69fd/Image2.png</image:loc>
      <image:title>Articles - What Is Super-Resolution in Forensic Video Analysis? - Make it stand out</image:title>
      <image:caption>Figure 2: Loading the sequence in Impress and adjusting the parameters of the super resolution filter on the first frame.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/cf3b7c03-78a5-4973-a25d-7d74eb03c8c7/Video+Expert+%7C+Image+Expert+%7C+Forensics+Expert+%7C+CCTV+Expert+%7C+Facial+Comparison+Expert</image:loc>
      <image:title>Articles - What Is Super-Resolution in Forensic Video Analysis? - Make it stand out</image:title>
      <image:caption>Figure 3: Weighted Median interpolation super resolution result.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/ff63a6bb-4146-405f-b57f-52004f4dd058/Video+Expert+%7C+Image+Expert+%7C+Forensics+Expert+%7C+CCTV+Expert+%7C+Facial+Comparison+Expert</image:loc>
      <image:title>Articles - What Is Super-Resolution in Forensic Video Analysis? - Make it stand out</image:title>
      <image:caption>Figure 4: Iterative Weighted interpolation result.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/dbb182e0-e51b-4d9f-9d35-0f0ddf74f2f3/Image5.png</image:loc>
      <image:title>Articles - What Is Super-Resolution in Forensic Video Analysis? - Make it stand out</image:title>
      <image:caption>Figure 5: Post-processing with a general deblur filter.</image:caption>
    </image:image>
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  <url>
    <loc>https://www.verdenforensics.com/articles/de-haze</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/f4edfacc-102f-4e22-a40c-927145ad91c0/Digital+Forensics</image:loc>
      <image:title>Articles - Improving Visibility in CCTV Footage Using Dehazing - Make it stand out</image:title>
      <image:caption>Figure 1: Applying the Dehaze filter to a misty picture. The parameters Red, Green and Blue are the colour components of the selected atmospheric background in the picture. The colour picker ‘parameter’ allows selection of the atmospheric colour by clicking on the picture to the left.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1e4bd00c-db15-4e68-8b97-a99ca562c805/Blog2.png</image:loc>
      <image:title>Articles - Improving Visibility in CCTV Footage Using Dehazing - Make it stand out</image:title>
      <image:caption>Figure 2: Applying the Dehaze filter on an image with foggy atmosphere. By varying the Transmission parameter, one can select which distance from the camera has optimised levels.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/860f608e-f38c-4528-8d8e-37947bfdc4e1/Blog3.png</image:loc>
      <image:title>Articles - Improving Visibility in CCTV Footage Using Dehazing - Make it stand out</image:title>
      <image:caption>Figure 3: Varying the Transmission parameter over 80%, 60%, 40% and 20% reveals details in the image from front to back.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/653f6495-ecf9-4df4-9d24-2ac4ad5c223d/Blog4.png</image:loc>
      <image:title>Articles - Improving Visibility in CCTV Footage Using Dehazing - Make it stand out</image:title>
      <image:caption>Figure 4: By picking a different atmospheric colour from this sandstorm image, indicated by the red arrows, different details are revealed in the situation at the top and bottom. The colours were picked by clicking on the left-side image (solid red arrows).</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/noise-part-2</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/c4f5df46-f1ca-4f4b-ac31-1a632419b298/Image+Enhancement+%7C+Photo+Enhancement+%7C+Improve+Photo+Quality+%7C+CCTV+Forensics+%7C+Image+Forensics</image:loc>
      <image:title>Articles - Forensic Video Noise Reduction Explained - Make it stand out</image:title>
      <image:caption>Figure 1: A natural image (a) and its corresponding power spectrum (b). (c) gives a schematic description of the power spectrum in areas (0)-(3). (0) contains the origin (frequency zero) and low frequencies, (1) the higher horizontal frequencies, (2) the higher vertical frequencies and (3) mainly noise and some high frequencies.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/604e01b9-f461-488e-a7fe-f67caff16d04/Photo+Forensics+%7C+Image+Forensics+%7C+Digital+Forensics</image:loc>
      <image:title>Articles - Forensic Video Noise Reduction Explained - Make it stand out</image:title>
      <image:caption>Figure 2: Filter frequency response of Gaussian (blue), Butterworth (yellow) and Ideal (red) filter kernel.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/96ad355f-f7fc-4bf8-bf42-ecfa00e93c0f/Improve+number+plate+%7C+Digital+Forensics+%7C+Video+Forensics</image:loc>
      <image:title>Articles - Forensic Video Noise Reduction Explained - Make it stand out</image:title>
      <image:caption>Figure 3: Example of an image contour point P and the direction along the contour A and perpendicular to the contour B.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1f3cb587-86d4-4907-aa5d-9e3a2087abc2/CCTV+Forensics+%7C+Digital+Forensics+%7C+CCTV+Enhancement</image:loc>
      <image:title>Articles - Forensic Video Noise Reduction Explained - Make it stand out</image:title>
      <image:caption>Figure 4: The Median filter calculates the median value (37) from local histogram, useful to elimination outline values e.g. in case of impulse noise.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/da5b7c73-dcfb-4f55-b6d2-896409c05a56/Image+Forensics+%7C+Digital+Forensics+%7C+Photo+Forensics</image:loc>
      <image:title>Articles - Forensic Video Noise Reduction Explained - Make it stand out</image:title>
      <image:caption>Figure 5: Band implementation using threshold, to select outliers (8, 77) for filtering. Only the pixels that are outside the band will be filtered.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/b41481bb-8755-4ccd-9cea-a25718e419f3/Digital+Forensics+%7C+Multimedia+Forensics+%7C+Photo+Forensics</image:loc>
      <image:title>Articles - Forensic Video Noise Reduction Explained - Make it stand out</image:title>
      <image:caption>Figure 6: Bilateral filter; the resulting average is determined by the product of spatial and signal weight. This results in the strongest contribution from the pixels close by, excluding outlier values.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/016b1f57-6808-460a-8c50-3f370e8c9913/Forensics+%7C+CCTV+Forensics+%7C+Digital+Forensics</image:loc>
      <image:title>Articles - Forensic Video Noise Reduction Explained - Make it stand out</image:title>
      <image:caption>Figure 7: Single image Frame Average, the temporal average for all frames in a video.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/99490518-7247-4369-b1e1-f468297103d3/Digital+Image+Forensics+%7C+Forensics+%7C+Image+Forensics</image:loc>
      <image:title>Articles - Forensic Video Noise Reduction Explained - Make it stand out</image:title>
      <image:caption>Figure 8: Constructing a temporally smoothed video.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/noise-part-1</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1625129654030-4MF3LIM3L8U2MHD4D43B/Digital+Forensics+%7C+Photo+Forensics+%7C+Video+Forensics+%7C+Video+Quality+Improvement</image:loc>
      <image:title>Articles - Can Noisy CCTV Footage Be Improved? - Make it stand out</image:title>
      <image:caption>Figure 1: Examples of noise, from left to right impulse, pattern and line noise.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1625129833358-QF2HZNA8NUTC5FLAV35C/Remove+Noise+%7C+Improve+Video+Quality+%7C+Video+Forensics+Experts</image:loc>
      <image:title>Articles - Can Noisy CCTV Footage Be Improved? - Make it stand out</image:title>
      <image:caption>Figure 2: Applying a 3x3 kernel to calculate the local average for three subsequent positions in the image</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/authenticity</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1615894920648-0M9C9QU1MZ3FHLJGIQU2/image1.JPG</image:loc>
      <image:title>Articles - How Forensic Experts Assess Video Authenticity</image:title>
      <image:caption>Figure 1: With two button clicks an overview of different filter results is generated</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1615895029410-WZ4GBGY1SRRHKNXL3W88/image2.JPG</image:loc>
      <image:title>Articles - How Forensic Experts Assess Video Authenticity</image:title>
      <image:caption>Figure 2: Derived data being visualised</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/proficiency</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/de-blur</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835394746-8XOU24IZVNRYTHJGS8QI/Video+Expert</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834443200-B0EW57KWIKUT1K2FB9QV/De-Blur+%7C+Image+Forensics+%7C+Improve+Photo+Quality+%7C+Improve+CCTV</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 1: Temporal audio signal and its corresponding power spectrum (frequencies).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834505657-0GK0RA2A1VWHM0X7ZATX/Forensics+%7C+Video+Forensics+%7C+UK+Forensics+%7C+Digital+Forensics</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 2: Image with a) (vertical) sinus intensity wave and b) corresponding power spectrum.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834610920-KGG6K6NLI31O5I5XYNVF/Digital+Forensics+%7C+Improve+CCTV+%7C+Video+Quality</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 3: A natural image (a) and its corresponding power spectrum (b). (c) gives a schematic description of the power spectrum in areas (0)-(3). (0) contains the origin (frequency zero) and low frequencies, (1) the higher horizontal frequencies, (2) the higher vertical frequencies and (3) mainly noise and some high frequencies.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834791791-EB33W1ZIW13LWZDLPRVZ/Capture.PNG</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834839001-CLI1CQHJ8A54AOHAC0F3/Capture2.PNG</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834881694-IU6K5I2Y9031UU7N1NB1/Capture.PNG</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834923183-YCICAPY3Q95H1XF9Q52S/Video+Enhancement+%7C+Photo+Enhancement</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 4: Example of a blur streak due to linear motion blur.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834986227-L5DPG2UECYGA59JWLA84/Forensics+Expert+%7C+Video+Expert</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 5: example of linear motion de-blur.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835034984-3PKKGL7KDE0GKMLBFLJX/Forensics+%7C+Digital+Forensics+%7C+Photo+Expert</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 6: Taxi left front wheel (a) in detail (c), which reveals the linear motion blur present by a subtle blur streak indicated by the Cyan line in (b) and (d).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835066687-53XBE36IA5UZ2ZK3E0SW/Photo+Forensics</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 7: the power spectrum of the filter input image of Figure 4. The noise levels are estimated from the area’s outside the red area.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835087283-XM0M10VZVMMM3TYNQR30/De-Blur</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 8: de-blur results with (a) original detail, (b),(c) and (d) threshold values of 10, 245 and 1000.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835123532-M9F06PPSRLDRHDMKDEU2/Photo+Forensics+%7C+UK+Forensics</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 9: Blur circles due to mis-focus. The Cyan line indicates the diameter of the blur kernel PSF in the image.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835157907-RCYSCL2ZIMU6AGNL30SR/Video+Forensics+%7C+Improve+Video+Quality</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 10: Example of a misfocused image.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835221918-M8GYZ4K1OYVU1F8VZF7G/Photoshop+%7C+Foclar+Impress</image:loc>
      <image:title>Articles - Deblurring CCTV Footage for Criminal and Civil Proceedings</image:title>
      <image:caption>Figure 11: Example of a complex blur kernel (b) extracted from the blurred image (a). In the result image (c) the blur kernel approximates a single dot (d).</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/look-up-tables</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1605092192499-861V493VRG3BDANWGHXS/LUT+%7C+Image+Enhancement+%7C+Video+Enhancement</image:loc>
      <image:title>Articles - The Role of Look-Up Tables in Forensic Image Enhancement</image:title>
      <image:caption>Figure 1 : Example of a section (0-10) of a LUT that implements adding 10 to each input value to get the output value.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1605092372127-FP52IYSPAJIESQP6C2V3/Photo+Enhancement+%7C+Video+Enhancement+%7C+Photo+Forensics</image:loc>
      <image:title>Articles - The Role of Look-Up Tables in Forensic Image Enhancement</image:title>
      <image:caption>Figure 2: Curves detail window.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1605092424216-LXMDDJRKT7UEWN3Q8H49/Look+Up+Tables+%7C+Digital+Forensics+%7C+Digital+Photos+%7C+Enhancement</image:loc>
      <image:title>Articles - The Role of Look-Up Tables in Forensic Image Enhancement</image:title>
      <image:caption>Figure 3: LUT with linear curves (top) and spline curves (bottom) between the control points.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/re-scaling</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539422584-R1HMGHJ5W9JXZDXQS9WW/Interpolation+-+Image+Enhancement+-+CCTV+Enhancement</image:loc>
      <image:title>Articles - Re-Scaling CCTV Evidence</image:title>
      <image:caption>Figure 1: one dimensional example of interpolation (3x scaling) of data with a) nearest neighbour interpolation and b) linear interpolation. The red-dotted lines show the so-called staircasing effect.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539464510-E45WNJFMS5IJUKRWG2JW/Photo+Enhancement+-+Improve+Photo+-+Improve+Video+-+Rescaling</image:loc>
      <image:title>Articles - Re-Scaling CCTV Evidence</image:title>
      <image:caption>Figure 2: two dimensional example of a grey level pixel interpolation (2x scaling) with a) nearest neighbour interpolation and b) bilinear interpolation. The original pixel values are indicated by the blue borders. The red-dotted lines show the so-called staircasing effect.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539670140-5HYTIP9JXL5YRC6YT280/Interpolation+%7C+Enhancement+%7C+Image+Processing+%7C+Image+Forensics</image:loc>
      <image:title>Articles - Re-Scaling CCTV Evidence</image:title>
      <image:caption>Table 1: available interpolation techniques in Impress</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539748936-Z7M7PT9B2W3QVL4Y4HGB/Enhancement+%7C+CCTV+Quality+%7C+Improve+CCTV+%7C+Improve+Video+%7C+Video+Forensics</image:loc>
      <image:title>Articles - Re-Scaling CCTV Evidence</image:title>
      <image:caption>Figure 3: example of scaling: a) original image with region of interest, b)nearest neighbour 10x, c) bilinear 10x and d) Lanczos 10x.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539831387-5I8A1G1ZLGENL16HP1TT/Photo+Enhancement+%7C+Video+Enhancement+%7C+Photo+Forensics</image:loc>
      <image:title>Articles - Re-Scaling CCTV Evidence</image:title>
      <image:caption>Figure 4: sharpening is often used to compensate for the blurriness introduced by the scaling. Care should be taken to use the right interpolation in combination with the sharpening as is shown with a) Bilinear and b) Bicubic spline.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539898946-YGJWCY06NQY4TQSI0A5T/Enhancement+%7C+Processing+%7C+CCTV+Forensics</image:loc>
      <image:title>Articles - Re-Scaling CCTV Evidence</image:title>
      <image:caption>Figure 5: unlocking the aspect ratio allows the user to set a different scale for the horizontal and vertical axis. On the left the original footage (with ROI) is shown. On the right the aspect ratio corrected image is shown. The scaling filter parameter setting is shown in the bottom-middle.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/sharpening</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598958898419-68BSRO29M06O5E5GXC1V/Sharpening+%7C+Image+Enhancements+%7C+Image+Forensics+%7C+Video+Forensics</image:loc>
      <image:title>Articles - Forensic Image Sharpening in CCTV Analysis</image:title>
      <image:caption>Figure 1: Intensity range of the inside of an object is smaller than the range of the border area.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598959107440-ZWDDHCWOVFJRH6UX22CI/Image+Forensics+-+Photo+Forensics+-+Video+Forensics</image:loc>
      <image:title>Articles - Forensic Image Sharpening in CCTV Analysis</image:title>
      <image:caption>Figure 2: a) original, b) sharpen and c) over-sharpening increasing noise and halo's at the edges of objects.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598959172106-MMCXCIYGOHR1TLKT32EH/Image+Forensics+-+Sharpening+-+Verden+Forensics+-+CCTV+Forensics</image:loc>
      <image:title>Articles - Forensic Image Sharpening in CCTV Analysis</image:title>
      <image:caption>Figure 3: Unsharp masking filter in Impress.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598959248818-C1LDGHILFWGBF0E6ZEOK/CCTV+Enhancement+%7C+Video+Enhancement+%7C+Video+Forensics</image:loc>
      <image:title>Articles - Forensic Image Sharpening in CCTV Analysis</image:title>
      <image:caption>Figure 4: (a) and (b) are the original image and detail; (c) and (d) show the effect of the unsharp mask filter on all colours independently; (e) and (f) show the filtering of the luminance signal only, thus preserving the colour.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598959323419-K9TA7PPG59W9HJUADTC5/Video+Forensics+%7C+Forensic+Video+%7C+CCTV+Forensics</image:loc>
      <image:title>Articles - Forensic Image Sharpening in CCTV Analysis</image:title>
      <image:caption>Figure 5: Contour enhancement filter with variants: Laplace, Mexican Hat, Prewitt and Sobel. (a) Laplace with strength parameter at 100, showing only the contours in the image. (b) strength parameter at 50, where mixing with the original image restores the object colours.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/contrast-adjustments</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1596461126567-L883QH1BW6Y0V78XETSO/Video+Enhancement+%7C+Improve+Video+%7C+Video+Quality+%7C+Brighten+Video</image:loc>
      <image:title>Articles - Improving Contrast in Video Forensics</image:title>
      <image:caption>Figure 1: Top row: Original image and histogram with linear contrast mapping function. Bottom row: Enhanced image and histogram.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1596461270378-I3002NCSOXIOPCSAHXOU/Equ.PNG</image:loc>
      <image:title>Articles - Improving Contrast in Video Forensics</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1596461344419-M0ED5OK5HQFFINXPK0H1/Photo+Enhancement+%7C+Photo+Forensics+%7C+CCTV+Enhancement</image:loc>
      <image:title>Articles - Improving Contrast in Video Forensics</image:title>
      <image:caption>Figure 2: Gamma enhancement for different parameter values of gamma, with the filtered images on the left and histogram pertaining to each on the far right. The central column shows the mapping T used.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1596461426529-UUBRD8ECIQZXEH52W1SX/Equalisation+%7C+Improve+Video+Quality+%7C+Improve+Photo+Quality</image:loc>
      <image:title>Articles - Improving Contrast in Video Forensics</image:title>
      <image:caption>Figure 3: Top left: Original image, Lower left: Output image, Top right: Original histogram and mapping function T, Bottom right: Equalised (flat) histogram of the output.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/brightness-adjustments</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599102568-1Z7QMHEF7774FA74QTRQ/Image+Forensics+%7C+Photo+Forensics+%7C+Photo+Analysis+%7C+Imagery+Analysis+%7C</image:loc>
      <image:title>Articles - Improving Dark Video Evidence</image:title>
      <image:caption>Figure 1: Optical colour illusion. Both circles (RGB=(209,134,0)) and the squares containing them (RGB=(112,112,112)) are the exact same colour.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599204722-SESJP7U9SCM7QT9Y3I17/Forensics+%7C+Photoshopping+%7C+Enhancement+%7C+Photo+Enhancement+%7C+Video+Enhancement</image:loc>
      <image:title>Articles - Improving Dark Video Evidence</image:title>
      <image:caption>Figure 2: The red stripe appears brighter and more colourful in the light than in the shadow. The bottom right rectangle is more dominant than the bottom left rectangle in perception.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599281718-V4BYLDW708J2BCU3RG3V/Form.PNG</image:loc>
      <image:title>Articles - Improving Dark Video Evidence</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599417603-BHB68IDL81K7XEIUO6P2/Photo+Enhancement+%7C+Video+Enhancement+%7C+Improve+CCTV+%7C+CCTV+Enhancement</image:loc>
      <image:title>Articles - Improving Dark Video Evidence</image:title>
      <image:caption>Figure 3: Top left: an original dark image, Top right: contrast and brightness adjusted image, showing very bright and dominant lights through glasses of door and windows. Bottom left: a crop of the original image with low brightness. Bottom right: a crop of the top right image, but without the overexposure resulting in focus on the window only.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599496639-T9E6PVTDQSTGYN7MNPLX/Dark+CCTV+%7C+Dark+Photos+%7C+Dark+Video+%7C+improve</image:loc>
      <image:title>Articles - Improving Dark Video Evidence</image:title>
      <image:caption>Figure 4: Contrast and brightness adjustment in Impress combining the image and histogram comparison.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599553733-W3MCP7OWNSG8UXPB61TJ/Imagery+Enhancement+%7C+Image+Histogram+%7C+Video+Histogram</image:loc>
      <image:title>Articles - Improving Dark Video Evidence</image:title>
      <image:caption>Figure 5: Left: input histogram of the total image. Right: adjusting the brightness using an Roi parameter ON, to get the input histogram of the region of interest only.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/white-balance</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591006709517-4Q43TPBBK9EPR6Y6NYME/RGB+Colour+-+HSI+Colour+-+Image+Forensics+-+Image+Enhancement</image:loc>
      <image:title>Articles - How Lighting and Colour Affect CCTV Footage</image:title>
      <image:caption>Figure 1. Left: RGB colour system characterising a specific colour with three coordinate numbers. Right: In the cylindrical-shaped HSI colour system the same colour is also characterised with three numbers, where intensity is the height above the base plane, saturation the radius length of the circle in the base plane and hue is the angle coordinate.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591006806010-C52ERYGF1WUXGZXX9LC3/Video+Forensics+-+Video+Enhancement+-+Photo+Forensics</image:loc>
      <image:title>Articles - How Lighting and Colour Affect CCTV Footage</image:title>
      <image:caption>Figure 2. Top: the same colour image with different corrections of hue applied (H=0° is the original image). The images with values 180° and -180° are identical, consistent with the symmetry of an angular coordinate. Middle: the same for Saturation (S=100 is the original image). Bottom: the same for Intensity (I=100 is the original image).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591007152046-O47P5B47IC37BMMSM4NN/Image+Enhancement+-+CCTV+Enhancement+-+Video+Enhancement</image:loc>
      <image:title>Articles - How Lighting and Colour Affect CCTV Footage</image:title>
      <image:caption>Figure 3: Adjust hue and check the effect with the colour picker tool.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591007220309-2UC32DNGNHKGT8EYZ2R0/Image+forensics+-+video+forensics+-+CCTV+forensics</image:loc>
      <image:title>Articles - How Lighting and Colour Affect CCTV Footage</image:title>
      <image:caption>Figure 4: The white balance correction filter. It is known that the lampshade in the image is near white (or grey) in perfect lighting conditions. To correct the white balance, click the droplet icon next to the ‘Pick’ parameter and subsequently click on the lampshade in the left image.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591007287442-VT14N0SCZRQ49B0FO1LH/Video+Forensics+-+Luminance+-+RGB</image:loc>
      <image:title>Articles - How Lighting and Colour Affect CCTV Footage</image:title>
      <image:caption>Table 1: Example of the effect of the Luminance parameter on white balance result (Y=luminance level).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591007342010-J4XOS51WGNB5TW7FEGQL/Image+Forensics+-+Video+Forensics</image:loc>
      <image:title>Articles - How Lighting and Colour Affect CCTV Footage</image:title>
      <image:caption>Figure 5: From left to right: the original, white balance result with luminance correction OFF and ON.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.verdenforensics.com/articles/histogram-normalisation</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-05-25</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588341415103-4P3HV4DMSF5B1HSXQSBV/Image+Forensics+%7C+Digital+Forensics+%7C+Forensics+Blog</image:loc>
      <image:title>Articles - Histogram Normalisation in Forensic Video Enhancement</image:title>
      <image:caption>Figure 1: An example of a histogram with a skewed histogram distribution.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588341578339-LRCEQIBX9WJMBA9JHZT7/Underexposed+Photo+-+Digital+Forensics</image:loc>
      <image:title>Articles - Histogram Normalisation in Forensic Video Enhancement</image:title>
      <image:caption>Figure 2: Image pertaining to the histogram within Figure 1.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588341884278-LAWLG6X7ZIGWUHV0PLGM/Image+Forensics</image:loc>
      <image:title>Articles - Histogram Normalisation in Forensic Video Enhancement</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588342031421-5H340L65RJBEJE5YAA2L/Histogram+%7C+Foclar+Impress+%7C+Image+Forensics</image:loc>
      <image:title>Articles - Histogram Normalisation in Forensic Video Enhancement</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588342068532-QDU9ER15KPVC18LINABN/Verden+Forensics+%7C+Foclar+Impress</image:loc>
      <image:title>Articles - Histogram Normalisation in Forensic Video Enhancement</image:title>
      <image:caption>Figure 3: Example of the stretch distribution applied to the original dark image (top left) with it's corresponding histogram (top right) and the resulting processed image (bottom left) with it's corresponding histogram (bottom right)</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588342132398-EMDLN5SF6MAX9IK8YIFV/Foclar+Impress+%7C+Image+Forensics+%7C+Photo+Forensics+%7C+Experts</image:loc>
      <image:title>Articles - Histogram Normalisation in Forensic Video Enhancement</image:title>
      <image:caption>Figure 4: Curves filter to manually adjust the level adjustments. The skewed histogram in the detail window (bottom left) originates from the selected region of interest (red rectangle at the top). Viewing the histogram results while fine-tuning is always recommended to ensure the best results (bottom right).</image:caption>
    </image:image>
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