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    H.265 / hevc video codec learning notes

     

    H.265 / hevc video codec learning notes Video encoding is also called video compression, the main purpose is to reduce redundancy. It is necessary to have a continuous feeling of the video on the videos, and the frame rate must be above 25 ~ 30FPs. Video compression is divided into loss compression and lossless compression. Lossless compression: Video compression is usually used with lossless compression. Lossless compression: Commonly used for text files, program files, etc., compressed (5: 1 or less, image 3: 1). Lossless compression is usually ignored high-frequency information that is difficult to detect with some human eyes or ear. The loss of compression algorithm is related to the code rate and distortion, and the highest compression ratio is obtained under a certain condition; the quality of the video is best in a certain rate rate. Video coding usually refers to: prediction, transformation, quantization, and entropy coding. H261, H263, H264; MPEG1, MPEG2, MPEG3 standardization process. Next is the H265 / HEVC standardization process, the encoding framework is introduced, mainly including transformation, quantization, entropy coding, intra prediction, inter prediction, and loop filtering modules. H265 / HEVC has 35 intra prediction modes. Digital video has time resolution, spatial resolution, color space, quantization depth and other parameters. RGB color space: The component is closely related to the brightness, as long as the brightness changes, the three components will change, not suitable for image processing. YUV color space: Y is a brightness signal, UV is a chroma signal (the difference between the blue signal and the signal brightness, the difference between the red signal and the luminance value), and the brightness is separated from each other. A memory source is a strong correlation between adjacent pixels, and predicting the difference signal obtained between correlation between the prediction model eliminating pixels, it can be considered that there is no correlation, and is encoded as a memory source.

     

     

     

     

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