الفهرس 
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Abstract
The purpose of this thesis was to study application of data compression techniques in digital image processing. The aim of data compression is to compress the data into a format which saves the storage space and provides an efficient format for transmission via telecommunication channels. Data compression techniques fall into two main categories: lossless compression and lossy compression. Lossless techniques ensure total recovery of the original data by depending just on the statistical characteristics of the data. However, in the area of compressing signal, lossless techniques usually achieves unsatisfactory compression ratio because of their often too strict nature. In contrary to the lossless approaches, lossy techniques attempt to apply an appropriate model upon the underlying data and reduce the amount of data by simplifying the model in a proper way. Lossy methods exploit the fact that humans can not perceive all the details in the data, so that remove some information doesn’t affect on the quality of the original data. A new compression scheme for color images presented in this thesis is based on absolute moment block truncation coding using Huffman coding. The proposed scheme improves the performance of conventional absolute moment block truncation coding(AMBTC) for color images. Experimental results indicates the proposed scheme achieves higher compression ratio than conventional AMBTC with low distortion of reconstructed image quality.