This document discusses different types of image compression including lossless and lossy compression. Lossless compression reduces file size without degrading image quality, while lossy compression removes some image data. The document also mentions model compression techniques for neural networks, including pruning, quantization, and Huffman coding. Specific lossless compression algorithms are listed such as CCITT group 3 & 4, Flate/deflate, Huffman, LZW, and RLE compression. Entropy encoding is also discussed as a final lossless compression step done after image quantization.