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Hello friends welcome to the video lecture series on digital image processing, I am Dr. Dafda and in this 46th video class of DIP, we will study JPEG Image compression and itamp;#39;s implementation in MATLAB. JPEG is the most widely used lossy image compression format which is developed by joint photographic experts group and hence itamp;#39;s name is JPEG. In our previous video class we learnt block transform coding and JPEG is the best example of block transform coding. So let us start. For transform coding we transform the image using some transformation and we discard those pixel coefficients that are nearly zero and quantize pixel coefficients which are small, there by concentrating on only those coefficients which contain the most information about the image. We know that the low frequency components of an image are more important than the high frequency components and removing 40 to 50% of the bits from the high frequency components may remove, say only 5% of the encoded info
