【作者】 郭宝峰； 杨树元；

【Author】 Guo Baofeng Yang Shuyuan (The Institute of Acoustics,Chinese Academy of Science,Beijing 100080)

【机构】 中国科学院声学研究所；

【摘要】 本文将小波变换应用到分形内插图象编码中,以改善原算法对图象边缘造成的模糊失真。在改进算法中,由于采用了小波分解,可以对低频子带和高频子带采取不同的编码算法,即低频子带数据采用分形内插压缩编码,而对高频子带数据采用符合HVS的量化策略和Huffman熵编码,从而可以获得较好的图象还原质量和编码效率。更多还原

【Abstract】 In order to decrease distortion at the edge of an image,a new method is proposed by using wavelet transformation in fractal interpolation image coding algorithm.Because various coding approaches were adopted according to different subband,that is to say,fractal interpolation coding method was applied to lower frequency subband and quantization technique according with HVS and Huffman entropy coding method were applied to higher frequency subband,a better decoding image quality and coding efficiency were obtained.更多还原