摘要
在分析图像经过小波变换后所具有的特性的基础上,提出了一种改进的SPIHT算法.由于低频系数占据图像的百分之九十以上的能量,在图像的重构中十分重要,所以,对这些系数不进行压缩而直接传输;而最高频系数相对不重要,所以不做处理,只在图像重构时以指定的数值予以重构,因此不仅提高了图像的质量,同时提高了图像的压缩率.在具体的算法中,提出了块树的结构,减少了算法所需的内存,拓宽了算法的应用范围.
After analyzing the characteristics of images through wavelet transform, this paper proposes an improved SPIHT algorithm. Because the low-frequency coefficients hold 90% energy of image and they are very important for reconstructing the image, so they are not compressed and is transmitted directly. However the high-frequency coefficients are insignificant relatively, They arel not handled and transmitted. They will be appointed only during reconstructing the image. So, the quality of the image is improved and the compression rate is increased. Block-tree structure is proposed in this paper. The new algorithm demands less memory and its application area is expanded.
出处
《湖南工程学院学报（自然科学版）》
2009年第1期58-61,共4页
Journal of Hunan Institute of Engineering(Natural Science Edition)
