%0 Journal Article %T Method of categories quantization coding for image based on compressed sensing
基于压缩感知理论的分类量化图像编码方法* %A ZHANG Wei %A ZENG Fan-zi %A ZENG Qing-guang %A
张伟 %A 曾凡仔 %A 曾庆光 %J 计算机应用研究 %D 2011 %I %X For the problem in vector quantization that the compression ratio is slow and image restoration result is not satisfactory,and according to the sparsity properties of the high frequency wavelet transform coefficients,the paper proposed a new method of categories quantization coding for image based on compressed sensing.Compared with the LBG vector quantization coding algorithm,simulation results demonstrate that the proposed algorithm improves the quality of the recovered image significantly.For the similar... %K compressed sensing %K category quantization coding %K stochastic observation %K optimization problems
压缩感知 %K 分类量化编码 %K 随机观测 %K 优化问题 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=49438F68A18A452450C9A083C292377D&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=B1E3B2946768DC96&eid=875D586130C22173&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12