TL;DR: In this paper, a multi-spectral video source is used to extract the digital color data from designated areas of the generated video images and a central processing unit is employed to identify a color distinguishable from the background color.
Abstract: A method for processing video images having the steps of generating video images (103) with a multi-spectral video source (102) and converting analog color data contained in the generated video images (103) to digital color data for subsequent signal processing. The method further includes the steps of extracting the digital color data from designated areas of the generated video images and utilizing the extracted digital color data for identifying a color distinguishable from a background color. Thus, the invention provides a method for processing generated video images which has an intrinsic immunity to the effects of shadows by exploiting multi-spectral color information to distinguish, for example, a passing vehicle from the roadway 116. In a preferred embodiment, a video image processor (100) is employed having a multi-spectral video source (102) for generating the video images. A color digitizer (104) is employed for converting the analog color data contained in the generated video images to the digital color data for the subsequent signal processing. Then, a digital signal processor (106) is employed to extract the digital color data from the designated areas of the generated video images. Finally, a central processing unit (108) utilizes the extracted digital color data to identify a color distinguishable from the background color.
TL;DR: In this paper, a method and apparatus for improving the efficiency of color correcting subsampled luminance and chrominance based data is presented, which can be used to convert between various types of color spaces, and may be used in the processing of both device dependent and device independent data.
Abstract: The present invention is directed to a method and apparatus for improving the efficiency of color correcting subsampled luminance and chrominance based data. More specifically, the present invention is directed to a method of applying a full conversion between color spaces for one pixel in a selected pixel block. Chrominance values are assigned to the remaining pixels based upon their luminance values relative to the luminance value of the converted pixel. The invention may be used to convert between various types of color spaces, and may be used in the processing of both device dependent and device independent data.
TL;DR: In this paper, a method and apparatus for processing two analog composite video signals to be displayed to a human observer is described, where at least a first and a second video source are coupled to the first and second video sources.
Abstract: Disclosed is a method and apparatus for processing two analog composite video signals to be displayed to a human observer. The system includes at least a first and a second video source for generating first and second analog composite video signals respectively, and a selector coupled to the first and second video sources. The selector is operative to supply either the first or second analog composite video signal to one input of a video processor and independently and simultaneously supply either the first or second analog composite video signal to a second input of the video processor. The video processor is operative under control of a CPU to generate an output analog composite video signal comprised of a portion of the analog composite video signal supplied to the video processor's first input and a portion of the analog composite video signal supplied to the video processor's second input.
TL;DR: In this article, a video contrast enhancer enhances luminance contrast by dividing each video frame or field into blocks, calculating a mean luminance level for each block, selecting mapping functions on the basis of these mean luminances levels over a series of frames or fields, and mapping the video luminance levels according to the selected mapping functions.
Abstract: A video contrast enhancer enhances luminance contrast by dividing each video frame or field into blocks, calculating a mean luminance level for each block, selecting mapping functions on the basis of these mean luminance levels over a series of frames or fields, and mapping the video luminance levels according to the selected mapping functions. Color-saturation contrast is enhanced by modifying the amplitude of the modulated chrominance signal by the histogram equalization method, preferably by making a single linear modification in each period of the chrominance signal, so that color phase is not affected. For video signals with non-picture bands, these enhancements are preferably restricted to the picture area. If a black offset is present, it is preferably removed.
TL;DR: A color imaging apparatus consisting of a single-plate color imaging element including color filters arranged on pixels arranged in horizontal and vertical directions where all colors are arranged in each line in the directions is described in this paper.
Abstract: A color imaging apparatus comprising: a single-plate color imaging element including color filters arranged on pixels arranged in horizontal and vertical directions where all colors are arranged in each line in the directions; weighted average filters with filter coefficients set in a local area extracted from a mosaic image acquired from the color imaging element corresponding to the weighted average filters so that proportions of sums of the filter coefficients of each color in the lines in the horizontal and vertical directions are equal; a weighted average calculation unit that calculates weighted average values of each color; a demosaicking processing unit that calculates a pixel value of another color at a pixel position of a target pixel of demosaicking processing and that interpolates a pixel value of the target pixel based on a color ratio or a color difference of the calculated weighted average values to calculate the pixel value.