To edit video correctly you must read its color metadata with ffprobe, understand the YUV model, limited versus full range, BT.601/BT.709 gamuts and transfer functions, apply the appropriate YUV‑to‑RGB matrices, convert gamuts to BT.709, and re‑encode with matching color parameters.
This article introduces the basic concepts of audio and video capture—including sampling, quantization, PCM storage, YUV formats, camera operation, and pixel resolution—explaining how these technologies enable non‑contact, fully digital government procurement services during the COVID‑19 pandemic.
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.
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 tutorial explains the fundamentals of YUV color space, its differences from RGB, and provides a complete WebGL workflow—including shader creation, texture mapping, and buffer handling—to convert YUV‑420p video frames into RGB images for browser rendering.
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.
