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| Wavelet image compression coding algorithm based on a morphological operator |
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ZHENG Qiu-mei,LI Xin-an,YANG Fa-ke
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(College of Computer and Communication Engineering in China University of Petroleum,Dongying 2570619Shandong Province, China)
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| Abstract: |
| A new wavelet image compression algorithm was proposed based on morphological dilation and the positional information of the important coefficient couplet belt. In this algorithm, the position information of important factor in horizontal, vertical and diagonal sub-belt of the same resolution is uniformly denoted in one sub-belt, then based on the wavelet image with the energy clustering features，the morphological dilation method is used to compress the important coefficient positional information effectively. Hie experimental results show that this algorithm is superior to the zero tree wavelet image compression algorithm. |
| Key words: image compression wavelet transform spatial clustering morphological dilation union coding |
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