摘要
提出了一种对图像进行分形"粗略"(概貌)编码,"细节"(边缘)信息通过小波变换提取图像高频信息进行补偿的编码算法。该编码算法中,小波变换产生的高频小波系数根据系数重要性采用类似嵌入式小波零树编码方式进行编码,从而具有比特率可控等特点。通过实验表明,新编码算法的编码效果优于分形自适应四叉树编码算法和小波变换编码算法。
A new image coding algorithm for combining fractal and wavelet transformation is presented.The spatial ＂trends＂ of a image is encoded by fractal coding algorithm,and its ＂anomalies＂ （ such as edge information） used for compensation for the ＂trends＂ is extracted by wavelet transformation.Since the detail coefficients generated by wavelet transformation are encoded on the basis of their significance,the new coding method,like EZW,allows the encoding or decoding to stop at any point.The experimental results show that the method proposed is better than adaptive quadtree fractal coding algorithm and wavelet transformation coding algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第26期65-67,71,共4页
Computer Engineering and Applications
关键词
分形编码
小波变换
补偿算法
四叉树
fractal coding
wavelet transformation
compensation algorithm
quadtree
