Abstract: A method performed by a module executing on a computing device. The method includes receiving a request to generate a new color lookup table (“C-LUT”). The request includes at least one parameter value indicating a parameter change input by a user. The request may also indicate a number of data-points in the new C-LUT. The method includes generating a new color value for each of the data-points based on the at least one parameter value. The module appends the new color value for each of the data-points to a data structure and generates the new C-LUT from the data structure. The new color lookup table is operable to replace a current color lookup table.

Abstract: A method and system for generating a sympathetic assistive mutation of a live camera image stream. A cameral captures a digital video including a series of root images, at least one processor generates a series of mutated images, and a display device displays the series of mutated images as a preview of at least a portion of the series of root images. Each mutated image in the series of mutated images is generated by (a) obtaining the corresponding root image, which includes root pixels, (b) applying at least one of a function and a shader to the corresponding root image to obtain an assistive color for each of a portion of the root pixels, and (c) blending the assistive color with at least one color value of each root pixel in the portion of root pixels to thereby create the mutated image.

Abstract: A method and system for visualizing micro-contrast. At least one processor obtains a selected root image from a digital video, generates an assistive image, and blends the assistive image with the selected root image to obtain a mutated image, which configured to be displayed by a display device. The selected root image includes root pixels each associated with color values. The assistive image is generated based on a plurality of micro-contrast scores comprising a micro-contrast score calculated for each of at least a portion of the root pixels. The micro-contrast score is calculated for a selected one of the root pixels by identifying a submatrix centered at the selected root pixel, and calculating the micro-contrast score for the selected root pixel based on the color values associated with only sample pixels positioned one each at corners of the submatrix.

Abstract: A method and system for visualizing micro-contrast. At least one processor obtains a selected root image from a digital video, generates an assistive image, and blends the assistive image with the selected root image to obtain a mutated image, which configured to be displayed by a display device. The selected root image includes root pixels each associated with color values. The assistive image is generated based on a plurality of micro-contrast scores comprising a micro-contrast score calculated for each of at least a portion of the root pixels. The micro-contrast score is calculated for a selected one of the root pixels by identifying a submatrix centered at the selected root pixel, and calculating the micro-contrast score for the selected root pixel based on the color values associated with only sample pixels positioned one each at corners of the submatrix.

Abstract: A method and system for decaying chrominance. One or more processors obtain a selected one of a series of root images of a digital video. The selected root image includes root pixels each associated with color values. The processor(s) selects one of the root pixels until each of the root pixels has been selected. The color values associated with the selected root pixel are expressible as a color vector with a plurality of elements each storing a different one of the color values. The processor(s) determines a perceptual luminance value for the selected root pixel, generates a monochromic vector for the selected root pixel, generates a biased monochromic vector by multiplying the monochromic vector with a bias, and generates new color values associated with a new pixel of a denoised image corresponding to the selected root pixel by blending the biased monochromic vector with the color vector.