1 views collected around this technical thread.
Fundamentals of color theory explain how light creates the visible spectrum, how additive (RGB) and subtractive (CMY/K) mixing generate colors, describe traditional pigment systems and Japan’s PCCS matrix, detail digital models such as RGB, CMYK, HSV and Lab, compare their gamuts, and illustrate commercial uses like Pantone’s standardized swatches for branding.
The article explains common color models such as grayscale, RGB and YUV, describes image fundamentals like resolution and aspect ratio, outlines typical storage formats (RGB, YUV420P, NV12/NV21) and their bit‑depth considerations, and introduces video basics including frame rate, compression stages and HDR mapping.
The article explains how to use Python to build a mosaic image generator that transforms any picture into a mosaic by calculating average HSV colors of source images, dividing the target image into color blocks, replacing them with matching images, and blending the result, complete with code examples.
This article explains how digital images are captured as pixel arrays, describes the physiological basis of color perception, compares RGB and YUV color spaces, and introduces video compression concepts such as spatial and temporal redundancy, frame types, and common encoding formats.
This article explains the fundamentals of video frame color spaces, covering how video frames are composed, the differences between RGB and YUV, FFmpeg pixel format definitions, chroma subsampling schemes, storage layouts, and conversion formulas, with code examples and visual illustrations.
The article explains why CMYK JPEG images fail in Internet Explorer, contrasts CMYK with RGB color models, and provides ImageMagick commands to convert CMYK images to RGB for proper web display across browsers.