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Bayer图像的准无损压缩方法
引用本文:李晓雯,李国林. Bayer图像的准无损压缩方法[J]. 电视技术, 2005, 0(8): 24-27
作者姓名:李晓雯  李国林
作者单位:清华大学,电子工程系,北京,100084;清华大学,电子工程系,北京,100084
基金项目:国家重点基础研究发展计划(973计划),国家自然科学基金
摘    要:介绍了准无损压缩的研究背景和3类准无损压缩方法.提出了针对Bayer格式图像的准无损压缩方法,该方法分为低通滤波预处理、JPEG-LS无损压缩、解压缩和重构4个步骤.实验表明,该方法在较高图像恢复质量情况下比标准JPEG-LS算法有更高的压缩比,而且可通过改变滤波行数实现一定范围内的PSNR可调.

关 键 词:准无损压缩  Bayer格式  滤波  重构
文章编号:1002-8692(2005)08-0024-04
收稿时间:2005-05-17
修稿时间:2005-05-17

Near-Lossless Compression Method for Bayer Image
LI Xiao-wen,LI Guo-lin. Near-Lossless Compression Method for Bayer Image[J]. Ideo Engineering, 2005, 0(8): 24-27
Authors:LI Xiao-wen  LI Guo-lin
Affiliation:Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Abstract:The research background of near-lossless compression and 3 types of method are introduced in this paper. A near-lossless compression method for Bayer image is presented, which can be divided into low-pass filtering pre-processing, JPEG-LS lossless compression, decompression and reconstruction. Simulation results demonstrate that the proposed method will engender higher compression ratio for images of high recovery-quality compared to standard JPEG-LS algorithm, and it could be adjusted for PSNR in some specific range by changing the number of filtered rows.
Keywords:near-lossless compression   bayer   filtering   reconstruction
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