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Volume 29 Issue 3
Jan.  2011
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Xie Xiang, Li Guo-lin, Wang Zhi-hua. A Low Complexity and High Efficient Near-lossless and Lossless Image Compression Algorithm for Wireless Endoscopy System[J]. Journal of Electronics & Information Technology, 2007, 29(3): 616-621. doi: 10.3724/SP.J.1146.2005.01029
Citation: Xie Xiang, Li Guo-lin, Wang Zhi-hua. A Low Complexity and High Efficient Near-lossless and Lossless Image Compression Algorithm for Wireless Endoscopy System[J]. Journal of Electronics & Information Technology, 2007, 29(3): 616-621. doi: 10.3724/SP.J.1146.2005.01029

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

doi: 10.3724/SP.J.1146.2005.01029
  • Received Date: 2005-08-18
  • Rev Recd Date: 2006-01-05
  • Publish Date: 2007-03-19
  • 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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  • 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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