Wavelet-based compression of M-FISH images.
Wavelet-based compression of M-FISH images.
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M-FISH 图像的基于小波的压缩。
DOI：
10.1109/tbme.2005.844269
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Castleman,KennethR
中科院分区：
文献类型：
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作者：
Hua,Jianping;Xiong,Zixiang;Wu,Qiang;Castleman,KennethR
多重荧光原位杂交（M-FISH）是近年来发展起来的一种多色染色体核型分析技术。每个M-FISH图像集由在不同光波长下捕获的相同染色体标本的多个对齐图像组成。本文提出了嵌入式M-FISH图像编码（EMIC），其中前景对象/染色体和背景对象/图像分别编码。我们首先对前景和背景应用严格采样的整数小波变换。然后，我们使用基于对象的位平面编码来压缩每个对象，并生成单独的嵌入式位流，允许对前景和背景进行连续的无损到无损压缩。对于有效的算术编码的位平面，我们提出了一种方法，设计一个最佳的上下文模型，专门利用M-FISH图像在小波域中的统计特性。实验结果表明，EMIC编码的压缩效果是Lempel-Ziv-Welch编码的近两倍。对于无损编码，EMIC的性能也比JPEG-LS和JPEG-2000好得多。EMIC的有损性能明显优于JPEG-2000编码的M-FISH图像。
Multiplex fluorescence in situ hybridization (M-FISH) is a recently developed technology that enables multi-color chromosome karyotyping for molecular cytogenetic analysis. Each M-FISH image set consists of a number of aligned images of the same chromosome specimen captured at different optical wavelength. This paper presents embedded M-FISH image coding (EMIC), where the foreground objects/chromosomes and the background objects/images are coded separately. We first apply critically sampled integer wavelet transforms to both the foreground and the background. We then use object-based bit-plane coding to compress each object and generate separate embedded bitstreams that allow continuous lossy-to-lossless compression of the foreground and the background. For efficient arithmetic coding of bit planes, we propose a method of designing an optimal context model that specifically exploits the statistical characteristics of M-FISH images in the wavelet domain. Our experiments show that EMIC achieves nearly twice as much compression as Lempel-Ziv-Welch coding. EMIC also performs much better than JPEG-LS and JPEG-2000 for lossless coding. The lossy performance of EMIC is significantly better than that of coding each M-FISH image with JPEG-2000.