摘要
介绍了小波变换的图像压缩模型和小波包在图像压缩中的优势,深入研究了双正交小波包在图像压缩中的分解与重构算法,构造了基于Shannon熵准则的双正交小波最优基,并应用MATLAB软件进行仿真实验,分析比较了双正交小波包和haar小波在指纹图像压缩中的性能,表明双正交小波包在边缘突变检测方面具有优良的性能。
Abstract：The model of image compression based on wavelet transform and superiority of wavelet packet in image compression are introduced, algofithrns of image decomposition and reconstruction based on biorthogonal wavelet packet are studied deeply, best basis of bioahogonal wavelet packet based on Shannon entropy is constructed, and simulated by using MATALAB7 This paper also analyzed and compared biorthogonal wavelet packet with Haar wavelet in the application of fingerprint image compression, The comparative result indicates biorthogonal wavelet packet has nicer performance in abrupt change of edges detection.
