Scalable Image Coding Based On Integer-to-integer Wavelet Transform

After analyze few existing compression algorithm for high-resolution remote sensing, we provides a new compression algorithm based on Integer to integer wavelet transform(ITI DWT ), and introductive the design scheme for it.The old compression algorithm most based on float-DWT ,but integer to integer wavelet transform can compress image and video signals losslessly or lossly . In addition, the computation complexity of ITI DWT is below float-DWT. For these reasons, ITI DWT is very useful in image and video coding.This thesis provides an image compression scheme called SBPC algorithm based on subband bit-plane coding and ITI DWT. 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. According to the R-D optimized 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 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 low code rate, the reconstructed image quality of SBC is lightly worse than that of EBCOT, but in high code rate, the result is reverse.