الفهرس 
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Abstract
The aim of thesis is to studying how the hybridization of FIC with DCT, Quadtree decomposition, and Huffman coding techniques, can reduce the FIC long encoding time without hampering the quality of the image, while achieving better PSNR value and higher compression ratio. DCT separates images into parts of different frequencies where less important frequencies are discarded and important frequencies are used to retrieve the image. The Quadtree approach divides a square image into four equal sized square blocks, and then tests each block to see if meets some criterion of homogeneity.
A set of proposed hybrid FIC algorithms: Quadtree, DCT-Quadtree, Quadtree-Huffman, and hybrid DCT-Quadtree-Huffman, for grayscale and RGB images. The Quadtree decomposition method is used for the reduction of the search space, and Huffman coding is used for improving the compression quality. The DCT is combined with the Quadtree decomposition and Huffman coding to improve the compression ratio.