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The use of digital images has increased at a rapid pace over the past decade. Computer generated (synthetic) images are becoming an additional source of digital data, particularly for special effects in advertising and entertainments. Image compression is the art/science of efficiently coding digital images to reduce the number of bits required in the representing an image. The purpose of doing so is to reduce the storage and transmission costs while maintaining good quality. Image compression is achieved by exploiting redundancies in the image. These redundancies could be spatial, spectral, or temporal redundancy. The techniques for image compression are Huffman coding & Run length encoding.
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