基于感兴趣区域的图像部分无损压缩方法

A new part-lossless image compression algorithm based on regions of interest

在应用整数小波变换和基于层次树的集划分算法的基础上,提出了一种新的基于感兴趣区域的编码方法,该算法利用小波变换良好的空间 频率的局部化特性,通过在编码前提升图像的感兴趣区域的小波系数,使这些小波系数完全独立于背景区域的小波系数,实现了在不传输任何形状信息的前提下,完成各种形状的感兴趣区域的解码.实验结果表明,该算法能够在无失真恢复图像感兴趣区域的同时,提高整幅图像的压缩比.

A new algorithm with lossless regions of interest is present based on the Integer Wavelet Transform (IWT) and SPIHT scheme. It utilizes the good space-frequency local characteristic of the wavelet transform, and lifts the wavelet coefficients of regions of interest in an image, and by this means, these wavelet coefficients will be separated from wavelet coefficients in the background. An image can be encoded with an arbitrarily shaped ROI by this method, and an arbitrarily shaped ROI can be decoded without transmitting any information about the shape of ROI. Experimental results show that the algorithm can losslessly preserve regions of interest and obtain a higher compression ratio of the whole image.