Compressing a Raw Video Image Sequence
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In this text, we need to compress a raw video image sequence to generate a compressed file. This typically involves implementing a video compression algorithm such as H.264, H.265, or VP9, which utilizes techniques like motion estimation, discrete cosine transform (DCT), and entropy coding to reduce file size while maintaining visual quality. Next, we decompress this compressed file to produce a display image, requiring a corresponding decoder that reconstructs the video frames from the compressed data. Following this, we compare the display image with the original image, evaluating various aspects such as visual quality using metrics like PSNR (Peak Signal-to-Noise Ratio) or SSIM (Structural Similarity Index), compression ratio, and file size reduction. Through this process, we can gather critical information about the performance of the compression algorithm, including its efficiency, computational requirements, and suitability for different applications.
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