Bit Assignment Optimization for ROI of CCSDS Image Compression Standards Based on DWT
In deep space exploration, image compression plays an important role in maximizing returned scientific data. CCSDS adopts the methods based on Discrete Wavelet Transformation as the image compression standards because of its high compression ratio, progressive transmission and supporting lossless compressing. According to its feature, a new image compression scheme-Region of Interest encoding is presented for balancing the initial image acquiring rate, buffer size and data transmission rate on spacecraft in deep space communication. It is performed by which ROI is assigned with lower compression ratio, more storage space, and higher transmission priority. Thus it could be attained the goal of acquired image in deep space communicationmaximizing information returning to the ground. And an optimized bit allocation method between ROI and Non-ROI is proposed according to rate-distortion model that is fit for progressive wavelet coding rate and distortion. Based on taking 2-level priority as an example, an optimized bit allocation method between ROI and Non-ROI is discussed.Simulation results show that the performance of the scheme is satisfying.
Zhang Jiayan Zhao Honglin Ma Jing Cui Yang
Author Affiliation(s) Communication Research Center,Harbin Institute of Technology, Harbin, 150080 Author Affiliation(s)Communication Research Center,Harbin Institute of Technology, Harbin,150080 State Key Laboratory of Tunable Laser Technology, Harbin Institute of Technology, Harbin, 150080
国际会议
International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)
北京
英文
1-7
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）