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Novel Compressed Sensing Techniques for Realistic Image  

Lee, Sun Yui (광운대학교 전파공학과 소속 유비쿼터스 통신 연구실)
Jung, Kuk Hyun (광운대학교 전파공학과 소속 유비쿼터스 통신 연구실)
Kim, Jin Young (광운대학교 전파공학과 소속 유비쿼터스 통신 연구실)
Park, Gooman (서울과학기술대학교 전자IT미디어공학과)
Publication Information
Journal of Satellite, Information and Communications / v.9, no.3, 2014 , pp. 59-63 More about this Journal
Abstract
This paper describes the basic principles of 3D broadcast system and proposes new 3D broadcast technology that reduces the amount of data by applying CS(Compressed Sensing). Differences between Sampling theory and the CS technology concept were described. Recently proposed CS algorithm AMP(Approximate Message Passing) and CoSaMP(Compressive Sampling Matched Pursuit) were described. This paper compared an accuracy between two algorithms and a calculation time that image data compressed and restored by these algorithms. As result determines a low complexity algorithm for 3D broadcast system.
Keywords
CS(Compressed Sensing); SS-CoSaMP(Single-Space Compressive Sampling Matched Pursuit); CoSaMP(Compressive Sampling Matched Pursuit); RIP(Restricted Isometry Property);
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