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Study on lossless prediction for space-borne remote-sensing images compression
Authors
张承宁
罗海波
邵楚雯
魏永旺
Publication date
1 January 2012
Publisher
Abstract
针对星载遥感图像自相关系数较大时MED预测比较理想,反之均值Mean预测更有优势的问题,融合该两种方法的优点提出了改进的MED预测,使之对多种类别的图像特别是遥感图像能够取得较好的预测效果。此外,从预测相关性、运算复杂度、是否带有自动误码纠偏以及采用Rice算法获得的压缩比等角度进行了两种预测残差映射器的研究,确定了选用带自动误码纠偏的差值映射和可调整的预测方式。当信源干扰多大时选取前像素预测,反之采用MED或改进的MED预测,从而兼顾了压缩比和抗误码两方面,且硬件可实现
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Last time updated on 29/11/2016