Study of a Lossless Compression Method of Astronomical Images Using Segmention-based DPCM and 5/3 Integer Wavelet Transformations

In order to solve the increasingly outstanding issue of storing massive astronomical image data in devices of limited storage space and low bandwidths,this paper presents a new lossless compression method.In the method a large astronomical image is first segmented,and then successively coded with the Differential Pulse Code Modulation,5/3 Integer Wavelet Transformation,and Huffman algorithm.We first briefly outline the approach of the lossless compression,and then discuss the details of the principle of the method and the implementation of the relevant algorithms.Our experiment indicates that the compression ratio of out method is about 30%,29%,26%,2% higher than those of the Linux tar command,PKZip,WinZip,and WinRar,respectively;it is also much faster than the softwares WinZip and WinRar.In addition,our algorithm has a parallel structure and is easy for hardware implementation.