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CCSDS image compression algorithm
Author: ShiChengXing
Tutor: ZhaoYiGong
School: Xi'an University of Electronic Science and Technology
Course: Pattern Recognition and Intelligent Systems
Keywords: Image Compression CCSDS Wavelet Transform Bit-plane coding JPEG2000
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 58
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Abstract
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As aerospace technology development, people speed up the pace of space exploration , space images for real-time, efficient transport put forward higher requirements , and increased compression performance is good and low complexity image compression algorithm requirements. In this situation , CCSDS organization in November 2005 released a set of fields for spatial image compression algorithm standard , the application of the algorithm on a spacecraft positioned at high-speed devices , does not require complex algorithms and background knowledge can be understood application . Based on the study CCSDS image compression algorithm based on the principle of the algorithm encoding options selected for in-depth discussion , and the algorithm with the current mainstream JPEG2000 image compression algorithm were compared and analyzed , the test results show that the CCSDS image compression algorithm image compression slightly worse case than JPEG2000 has better error resilience and low complexity , more suitable for image compression space field . In addition , this paper to enhance the program to achieve the CCSDS image compression algorithm floating discrete wavelet transform, and coding on the data compression depth analysis and research , based on the number of AC coefficients entropy coding mapping and made the corresponding AC improvement programs, while high-frequency coefficients is proposed based compensation improvement program. Experimental results show that these improvements program CCSDS image compression algorithm to reduce the complexity of the algorithm , while also improving the compression performance .
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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