A Scalable Image Compression Scheme Based on Integer-to-integer Wavelet Transform and Subband Bit-plane Coding
基于整数小波变换和子带比特平面编码的图象压缩算法

This paper provides an image compression scheme called SBPC algorithm based on subband bit plane coding and integer to integer wavelet transform. SBPC algorithm divides the coefficients of integer to integer wavelet transform into bit planes within each subband which are named as subband bit planes. For these subband bit planes, the algorithm uses simple but effective rate distortion optimization method to determine the coding order. Unlike the JPEG2000 standard, this R D optimized coding order is independent of images. According to the coding order , the coefficient bits are coded by adaptive MQ arithmetic coder. SBPC algorithm can compress an image at any given bit rate or image quality from lossless to lossy, and the coding stream is scalable both in spatial resolution and in image quality. The algorithm can also realize coding of images with region of interest(ROI) by compressing the ROI losslessly. The experiments show that SBPC algorithm is comparable to the float point EZW algorithm and JPEG2000 reversible coding scheme in the coding efficiency, while the coding/decoding speed is much faster than that of the other two algorithms. In addition, SBPC algorithm needs very low memory and its computation complexity is also low.