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hi and welcome to module 8.6 of digital signal processing in which we will talk about the JPEG compression algorithm we have seen in the previous module - the key ingredients for successful image compression algorithm are compression at block level using a suitable transform to change the basis that represent our blocks smart quantization and entropy coding in jpg this elements are implemented like so the image is split into 8x8 non-overlapping blocks each block is transformed used in the DCT the discrete cosine transform each DCT coefficient is then quantized using psychovisual attuned quantization tables that we will analyze in just a minute and finally the resultant bitstream is compressed using run length encoding and Huffman coding so we will now examine each of this components in more detail so the first step as we said is we take our image and we divided it into 8x8 blocks then each block is transformed using the DCT now here in this image you see a detail of a transform image