用于无线内窥镜系统的高效、低复杂度的准无损和无损压缩算法

谢翔; 李国林; 王志华

doi:10.3724/SP.J.1146.2005.01029

用于无线内窥镜系统的高效、低复杂度的准无损和无损压缩算法

doi: 10.3724/SP.J.1146.2005.01029

基金项目:

国家863计划(2004AA1Z1100)和国家自然科学基金(60372021)资助课题

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出版历程
- 收稿日期: 2005-08-18
- 修回日期: 2006-01-05
- 刊出日期: 2007-03-19

A Low Complexity and High Efficient Near-lossless and Lossless Image Compression Algorithm for Wireless Endoscopy System

摘要

摘要: 为了降低无线内窥镜系统中无线通信的带宽以及无线发射的功耗，该文提出了一种高效、低复杂度的基于类似BAYER 彩色图像阵列的数字图像无损和准无损压缩/解压缩算法。通过对标准图像库中的7幅图像进行压缩的结果表明，该文提出的压缩算法比常规先插值后压缩的算法以及先压缩后插值的算法均具有更高的压缩性能和更低的复杂度；可实现对指定ROI区域实现无损压缩，其它区域实现准无损压缩。算法对无线内窥镜图像进行压缩时，可以获得平均图像压缩码率2.18bit/pixel，且PSNR大于47.57dB。
- 图像压缩;无线内窥镜系统;准无损压缩;JPEG-LS;BAYER彩色图像阵列;感兴趣区
Abstract: In order to decrease the communication bandwidth and save the transmitting power in the wireless endoscopy capsule, this paper presents a low complexity and high efficient near-lossless and lossless image compression algorithm for hardware design based on the Bayer format image. The algorithm can provide better compression performance and lower complexity than conventional interpolation-first methods and other existing similar compression-first methods. Moreover, the algorithm can provide lossless compression for the region of interest (ROI) and high quality compression for other regions. This algorithm can provide low average compression rate (2.18bit/pixel) with high image quality (larger than 47.57dB) for wireless endoscopic images.

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参考文献(1)

Xie Xiang, Li Guo-lin, and Chen Xin-kai, et al.. A novel low power IC design for bi-directional digital wireless endoscopy capsule system[A]. 2004 IEEE International Workshop on Biomedical Circuits and Systems[C] (BioCAS04), Singapore, 2004: S1.8.5-S1.8.8.[2]Xie Xiang.[J].Li Guo-lin, and Chi Bao-yong, et al.. Micro-system Design inside the Wireless Endoscopic Capsule[A]. 27th Annual International Conference of the IEEE Engineering In Medicine and Biology Society[C] (EMBS05), Shanghai China.2005,:-[3]Bayer B E. Color imaging array[P]. U.S. Patent 3,971,065, 1976.[4]Tsai Y T. Color image compression for single-chip cameras[J].IEEE Trans. on Electron Devices.1991, 38(5):1226-[5]Toi T and Ohita M. A subband coding technique for image compression in single CCD cameras with Bayer color filter arrays[J].IEEE Trans. Consumer Electronics.1999, 45(1):176-180[6]Lee S Y and Ortega A. A novel approach of image compression in digital cameras with a Bayer color filter array[A]. IEEE Int. Conf. Image Processing 2001[C], Thessaloniki, Greece, 2001, 3: 482-485.[7]Chin Chye Koh, Jayanta Mukherjee and Sanjit K. MitraNew efficient methods of image compression in digital cameras with color filter array[J].. IEEE Trans. Consumer Electronics.2003, 49(4):1448-1456[8]Battiato S, Buemi A, and Della L, et al.. A fast vector quantization engine for CFA data compression[A]. In Proceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing[C]. NSIP 2003, Grado, Italy, 2003: 123-127.[9]Howard P G and Vitter J S. Fast and Efficient Lossless Image Compression[A]. IEEE Data Compression Conference[C]. Snowbird, UT, 1993: 351-360.[10]Weinberger M, Seroussi G, and Sapiro G. The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS[J].IEEE Trans on Image Processing.2000, 9(8):1309-1324

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