Abstract: Aiming at shortcomings of wavelet transform on compressed image edges, this paper proposes an improved multiscale Wedgelet algorithm based on rate-distortion. Geometry coherence is applied to optimization guideline in process of multiscal Wedgelet decomposition. This paper establishes hidden Markov model, utilizes Hausdorff distance to measure efficiency of image Wedgelet decomposition, natural geometrical property of approximative image edge is obtained. Experimental results show the algorithm is effective.

Key words: image compression, multiscal Wedgelet, Hidden Markov Model(HMM)

摘要： 针对小波变换在压缩图像边缘上的不足，提出了率失真意义下的多尺度Wedgelet分析的改进方法，在进行多尺度Wedgelet分解时，将几何一致性考虑到优化准则中，建立了隐Markov模型，并利用Hausdorff距离来衡量图像Wedgelet分解的有效性，使图像近似边缘具有更自然的几何特性。实验结果表明了该算法的有效性。

关键词: 图像压缩, 多尺度Wedgelet, 隐马尔柯夫模型

CLC Number: 

• TP37