CAJ | 학술논문

图像的能量主要集中在高频部分，传统的小波变换图像编码压缩方法主要侧重低频信号，而把高频部分看为不重要的信息，这就导致图像的细节失真。考虑到图像能量分布情况，提出以对数熵为代价函数，选择最优小波包树的图像编码压缩方法，仿真结果表明这种方法不仅可以提高的压缩比，而且重构的图像效果比较好。
도상적능량주요집중재고빈부분，전통적소파변환도상편마압축방법주요측중저빈신호，이파고빈부분간위불중요적신식，저취도치도상적세절실진。고필도도상능량분포정황，제출이대수적위대개함수，선택최우소파포수적도상편마압축방법，방진결과표명저충방법불부가이제고적압축비，이차중구적도상효과비교호。
Traditional wavelet transform image coding compression method emphasized the low frequency signal and ignored the high ,in which was the energy of image mainly concentrated. It could lead to distortion of the image. Considering the energy distribution condition of the image, this paper proposed a new image coding compression method which based on logarithmic entropy for cost function to choose the optimum wavelet packet tree. The simulation results showed this method not only improved the compression ratio, but also promoted the effects of the reconstruct image.