https://www.verdenforensics.com/articles daily 0.75 2026-03-24 https://www.verdenforensics.com/articles/super-resolution monthly 0.5 2026-03-17 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 Articles - Super-Resolution - Make it stand out Figure 1: Sequence of low-resolution plates with sub-pixel shifts [-0.5,0.5] and resulting super-resolution image. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/176dfd88-520d-4b12-bbf5-95f0244c69fd/Image2.png Articles - Super-Resolution - Make it stand out Figure 2: Loading the sequence in Impress and adjusting the parameters of the super resolution filter on the first frame. 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 Articles - Super-Resolution - Make it stand out Figure 3: Weighted Median interpolation super resolution result. 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 Articles - Super-Resolution - Make it stand out Figure 4: Iterative Weighted interpolation result. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/dbb182e0-e51b-4d9f-9d35-0f0ddf74f2f3/Image5.png Articles - Super-Resolution - Make it stand out Figure 5: Post-processing with a general deblur filter. https://www.verdenforensics.com/articles/de-haze monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/f4edfacc-102f-4e22-a40c-927145ad91c0/Digital+Forensics Articles - De-Haze - Make it stand out 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1e4bd00c-db15-4e68-8b97-a99ca562c805/Blog2.png Articles - De-Haze - Make it stand out 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/860f608e-f38c-4528-8d8e-37947bfdc4e1/Blog3.png Articles - De-Haze - Make it stand out Figure 3: Varying the Transmission parameter over 80%, 60%, 40% and 20% reveals details in the image from front to back. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/653f6495-ecf9-4df4-9d24-2ac4ad5c223d/Blog4.png Articles - De-Haze - Make it stand out 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). https://www.verdenforensics.com/articles/noise-part-2 monthly 0.5 2026-03-17 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 Articles - Noise Part 2 - Make it stand out 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/604e01b9-f461-488e-a7fe-f67caff16d04/Photo+Forensics+%7C+Image+Forensics+%7C+Digital+Forensics Articles - Noise Part 2 - Make it stand out Figure 2: Filter frequency response of Gaussian (blue), Butterworth (yellow) and Ideal (red) filter kernel. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/96ad355f-f7fc-4bf8-bf42-ecfa00e93c0f/Improve+number+plate+%7C+Digital+Forensics+%7C+Video+Forensics Articles - Noise Part 2 - Make it stand out Figure 3: Example of an image contour point P and the direction along the contour A and perpendicular to the contour B. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1f3cb587-86d4-4907-aa5d-9e3a2087abc2/CCTV+Forensics+%7C+Digital+Forensics+%7C+CCTV+Enhancement Articles - Noise Part 2 - Make it stand out 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/da5b7c73-dcfb-4f55-b6d2-896409c05a56/Image+Forensics+%7C+Digital+Forensics+%7C+Photo+Forensics Articles - Noise Part 2 - Make it stand out Figure 5: Band implementation using threshold, to select outliers (8, 77) for filtering. Only the pixels that are outside the band will be filtered. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/b41481bb-8755-4ccd-9cea-a25718e419f3/Digital+Forensics+%7C+Multimedia+Forensics+%7C+Photo+Forensics Articles - Noise Part 2 - Make it stand out 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/016b1f57-6808-460a-8c50-3f370e8c9913/Forensics+%7C+CCTV+Forensics+%7C+Digital+Forensics Articles - Noise Part 2 - Make it stand out Figure 7: Single image Frame Average, the temporal average for all frames in a video. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/99490518-7247-4369-b1e1-f468297103d3/Digital+Image+Forensics+%7C+Forensics+%7C+Image+Forensics Articles - Noise Part 2 - Make it stand out Figure 8: Constructing a temporally smoothed video. https://www.verdenforensics.com/articles/noise-part-1 monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1625129654030-4MF3LIM3L8U2MHD4D43B/Digital+Forensics+%7C+Photo+Forensics+%7C+Video+Forensics+%7C+Video+Quality+Improvement Articles - Noise Part 1 - Make it stand out Figure 1: Examples of noise, from left to right impulse, pattern and line noise. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1625129833358-QF2HZNA8NUTC5FLAV35C/Remove+Noise+%7C+Improve+Video+Quality+%7C+Video+Forensics+Experts Articles - Noise Part 1 - Make it stand out Figure 2: Applying a 3x3 kernel to calculate the local average for three subsequent positions in the image https://www.verdenforensics.com/articles/authenticity monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1615894920648-0M9C9QU1MZ3FHLJGIQU2/image1.JPG Articles - Authenticity Figure 1: With two button clicks an overview of different filter results is generated https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1615895029410-WZ4GBGY1SRRHKNXL3W88/image2.JPG Articles - Authenticity Figure 2: Derived data being visualised https://www.verdenforensics.com/articles/proficiency monthly 0.5 2026-03-17 https://www.verdenforensics.com/articles/de-blur monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835394746-8XOU24IZVNRYTHJGS8QI/Video+Expert Articles - De-Blur https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834443200-B0EW57KWIKUT1K2FB9QV/De-Blur+%7C+Image+Forensics+%7C+Improve+Photo+Quality+%7C+Improve+CCTV Articles - De-Blur Figure 1: Temporal audio signal and its corresponding power spectrum (frequencies). https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834505657-0GK0RA2A1VWHM0X7ZATX/Forensics+%7C+Video+Forensics+%7C+UK+Forensics+%7C+Digital+Forensics Articles - De-Blur Figure 2: Image with a) (vertical) sinus intensity wave and b) corresponding power spectrum. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834610920-KGG6K6NLI31O5I5XYNVF/Digital+Forensics+%7C+Improve+CCTV+%7C+Video+Quality Articles - De-Blur 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834791791-EB33W1ZIW13LWZDLPRVZ/Capture.PNG Articles - De-Blur https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834839001-CLI1CQHJ8A54AOHAC0F3/Capture2.PNG Articles - De-Blur https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834881694-IU6K5I2Y9031UU7N1NB1/Capture.PNG Articles - De-Blur https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834923183-YCICAPY3Q95H1XF9Q52S/Video+Enhancement+%7C+Photo+Enhancement Articles - De-Blur Figure 4: Example of a blur streak due to linear motion blur. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606834986227-L5DPG2UECYGA59JWLA84/Forensics+Expert+%7C+Video+Expert Articles - De-Blur Figure 5: example of linear motion de-blur. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835034984-3PKKGL7KDE0GKMLBFLJX/Forensics+%7C+Digital+Forensics+%7C+Photo+Expert Articles - De-Blur 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). https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835066687-53XBE36IA5UZ2ZK3E0SW/Photo+Forensics Articles - De-Blur 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835087283-XM0M10VZVMMM3TYNQR30/De-Blur Articles - De-Blur Figure 8: de-blur results with (a) original detail, (b),(c) and (d) threshold values of 10, 245 and 1000. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835123532-M9F06PPSRLDRHDMKDEU2/Photo+Forensics+%7C+UK+Forensics Articles - De-Blur Figure 9: Blur circles due to mis-focus. The Cyan line indicates the diameter of the blur kernel PSF in the image. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835157907-RCYSCL2ZIMU6AGNL30SR/Video+Forensics+%7C+Improve+Video+Quality Articles - De-Blur Figure 10: Example of a misfocused image. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1606835221918-M8GYZ4K1OYVU1F8VZF7G/Photoshop+%7C+Foclar+Impress Articles - De-Blur 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). https://www.verdenforensics.com/articles/look-up-tables monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1605092192499-861V493VRG3BDANWGHXS/LUT+%7C+Image+Enhancement+%7C+Video+Enhancement Articles - Look Up Tables Figure 1 : Example of a section (0-10) of a LUT that implements adding 10 to each input value to get the output value. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1605092372127-FP52IYSPAJIESQP6C2V3/Photo+Enhancement+%7C+Video+Enhancement+%7C+Photo+Forensics Articles - Look Up Tables Figure 2: Curves detail window. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1605092424216-LXMDDJRKT7UEWN3Q8H49/Look+Up+Tables+%7C+Digital+Forensics+%7C+Digital+Photos+%7C+Enhancement Articles - Look Up Tables Figure 3: LUT with linear curves (top) and spline curves (bottom) between the control points. https://www.verdenforensics.com/articles/re-scaling monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539422584-R1HMGHJ5W9JXZDXQS9WW/Interpolation+-+Image+Enhancement+-+CCTV+Enhancement Articles - Re-Scaling 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539464510-E45WNJFMS5IJUKRWG2JW/Photo+Enhancement+-+Improve+Photo+-+Improve+Video+-+Rescaling Articles - Re-Scaling 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539670140-5HYTIP9JXL5YRC6YT280/Interpolation+%7C+Enhancement+%7C+Image+Processing+%7C+Image+Forensics Articles - Re-Scaling Table 1: available interpolation techniques in Impress https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539748936-Z7M7PT9B2W3QVL4Y4HGB/Enhancement+%7C+CCTV+Quality+%7C+Improve+CCTV+%7C+Improve+Video+%7C+Video+Forensics Articles - Re-Scaling Figure 3: example of scaling: a) original image with region of interest, b)nearest neighbour 10x, c) bilinear 10x and d) Lanczos 10x. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539831387-5I8A1G1ZLGENL16HP1TT/Photo+Enhancement+%7C+Video+Enhancement+%7C+Photo+Forensics Articles - Re-Scaling 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1601539898946-YGJWCY06NQY4TQSI0A5T/Enhancement+%7C+Processing+%7C+CCTV+Forensics Articles - Re-Scaling 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. https://www.verdenforensics.com/articles/sharpening monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598958898419-68BSRO29M06O5E5GXC1V/Sharpening+%7C+Image+Enhancements+%7C+Image+Forensics+%7C+Video+Forensics Articles - Sharpening Figure 1: Intensity range of the inside of an object is smaller than the range of the border area. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598959107440-ZWDDHCWOVFJRH6UX22CI/Image+Forensics+-+Photo+Forensics+-+Video+Forensics Articles - Sharpening Figure 2: a) original, b) sharpen and c) over-sharpening increasing noise and halo's at the edges of objects. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598959172106-MMCXCIYGOHR1TLKT32EH/Image+Forensics+-+Sharpening+-+Verden+Forensics+-+CCTV+Forensics Articles - Sharpening Figure 3: Unsharp masking filter in Impress. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598959248818-C1LDGHILFWGBF0E6ZEOK/CCTV+Enhancement+%7C+Video+Enhancement+%7C+Video+Forensics Articles - Sharpening 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1598959323419-K9TA7PPG59W9HJUADTC5/Video+Forensics+%7C+Forensic+Video+%7C+CCTV+Forensics Articles - Sharpening 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. https://www.verdenforensics.com/articles/contrast-adjustments monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1596461126567-L883QH1BW6Y0V78XETSO/Video+Enhancement+%7C+Improve+Video+%7C+Video+Quality+%7C+Brighten+Video Articles - Contrast Adjustments Figure 1: Top row: Original image and histogram with linear contrast mapping function. Bottom row: Enhanced image and histogram. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1596461270378-I3002NCSOXIOPCSAHXOU/Equ.PNG Articles - Contrast Adjustments https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1596461344419-M0ED5OK5HQFFINXPK0H1/Photo+Enhancement+%7C+Photo+Forensics+%7C+CCTV+Enhancement Articles - Contrast Adjustments 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1596461426529-UUBRD8ECIQZXEH52W1SX/Equalisation+%7C+Improve+Video+Quality+%7C+Improve+Photo+Quality Articles - Contrast Adjustments 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. https://www.verdenforensics.com/articles/brightness-adjustments monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599102568-1Z7QMHEF7774FA74QTRQ/Image+Forensics+%7C+Photo+Forensics+%7C+Photo+Analysis+%7C+Imagery+Analysis+%7C Articles - Brightness Adjustments 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599204722-SESJP7U9SCM7QT9Y3I17/Forensics+%7C+Photoshopping+%7C+Enhancement+%7C+Photo+Enhancement+%7C+Video+Enhancement Articles - Brightness Adjustments 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599281718-V4BYLDW708J2BCU3RG3V/Form.PNG Articles - Brightness Adjustments https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599417603-BHB68IDL81K7XEIUO6P2/Photo+Enhancement+%7C+Video+Enhancement+%7C+Improve+CCTV+%7C+CCTV+Enhancement Articles - Brightness Adjustments 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599496639-T9E6PVTDQSTGYN7MNPLX/Dark+CCTV+%7C+Dark+Photos+%7C+Dark+Video+%7C+improve Articles - Brightness Adjustments Figure 4: Contrast and brightness adjustment in Impress combining the image and histogram comparison. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1593599553733-W3MCP7OWNSG8UXPB61TJ/Imagery+Enhancement+%7C+Image+Histogram+%7C+Video+Histogram Articles - Brightness Adjustments 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. https://www.verdenforensics.com/articles/white-balance monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591006709517-4Q43TPBBK9EPR6Y6NYME/RGB+Colour+-+HSI+Colour+-+Image+Forensics+-+Image+Enhancement Articles - White Balance 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591006806010-C52ERYGF1WUXGZXX9LC3/Video+Forensics+-+Video+Enhancement+-+Photo+Forensics Articles - White Balance 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). https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591007152046-O47P5B47IC37BMMSM4NN/Image+Enhancement+-+CCTV+Enhancement+-+Video+Enhancement Articles - White Balance Figure 3: Adjust hue and check the effect with the colour picker tool. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591007220309-2UC32DNGNHKGT8EYZ2R0/Image+forensics+-+video+forensics+-+CCTV+forensics Articles - White Balance 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. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591007287442-VT14N0SCZRQ49B0FO1LH/Video+Forensics+-+Luminance+-+RGB Articles - White Balance Table 1: Example of the effect of the Luminance parameter on white balance result (Y=luminance level). https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1591007342010-J4XOS51WGNB5TW7FEGQL/Image+Forensics+-+Video+Forensics Articles - White Balance Figure 5: From left to right: the original, white balance result with luminance correction OFF and ON. https://www.verdenforensics.com/articles/histogram-normalisation monthly 0.5 2026-03-17 https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588341415103-4P3HV4DMSF5B1HSXQSBV/Image+Forensics+%7C+Digital+Forensics+%7C+Forensics+Blog Articles - Histogram Normalisation Figure 1: An example of a histogram with a skewed histogram distribution. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588341578339-LRCEQIBX9WJMBA9JHZT7/Underexposed+Photo+-+Digital+Forensics Articles - Histogram Normalisation Figure 2: Image pertaining to the histogram within Figure 1. https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588341884278-LAWLG6X7ZIGWUHV0PLGM/Image+Forensics Articles - Histogram Normalisation https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588342031421-5H340L65RJBEJE5YAA2L/Histogram+%7C+Foclar+Impress+%7C+Image+Forensics Articles - Histogram Normalisation https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588342068532-QDU9ER15KPVC18LINABN/Verden+Forensics+%7C+Foclar+Impress Articles - Histogram Normalisation 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) https://images.squarespace-cdn.com/content/v1/58e9d88d1b10e3a416cec8b3/1588342132398-EMDLN5SF6MAX9IK8YIFV/Foclar+Impress+%7C+Image+Forensics+%7C+Photo+Forensics+%7C+Experts Articles - Histogram Normalisation 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). 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