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Real-time imagery compression method research
Maotang Li; Jingbo Guo; Jinping Zhao; Yuzhong Liu; 北京8701信箱
Source PublicationProceedings of the Society of Photo-Optical Instrumentation Engineers (Spie)
AbstractA very useful Real-Time Ocean Surveying System (RTOSS) has been developing. Because of the real-time transmission and the huge synthesize aperture radar (SAR) imagery data and video imagery data and because of the restricted communication channel and the limited transmitting power condition the image data compression methods have to be developed. The compressed SAR imagery data and video imagery data have to satisfy two conditions: One is the excellent quality reconstruction; another is that the system can work on the real-time operating condition. It is contradictory for the excellent quality reconstruction with the real time system operation. In order to satisfy the real-time operating condition, the wavelet-based SAR imagery and improved H.263-based video imagery compression algorithms have been developed, which is of a high compression multiples and tiny compression distortion. In this paper, several typical SAR imagery compression algorithms are introduced and their performances and practical feasibility are compared. Secondly, the developed compression software that adopts improved H.263-based video imagery methods will be introduced. Finally, some experiment results will be given.
KeywordReal-time Communication Image Compression Ocean Monitor Wavelet-based Algorithm
Conference NameConference on Ocean Remote Sensing and Imaging II
Conference Date2003
Conference PlaceSan Diego, Ca
Indexed ByCPCI
Document Type会议论文
Corresponding Author北京8701信箱
Recommended Citation
GB/T 7714
Maotang Li,Jingbo Guo,Jinping Zhao,et al. Real-time imagery compression method research[C]. BELLINGHAM:Spie-Int Soc Optical Engineering,2003:531-539.
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