题目/Title：
                        A vector quantization based approach for CFA data compression in wireless endoscopy capsule

作者/Author：
                        Xiaowen Li,Guolin Li,Xiang Xie,Zhihua Wang

期刊/Journal：电子科学学刊（英文版） Journal of Electronics (China)

年份/Issue Date：2008.Nov.

卷（期）及页码/Volume（No.）&pages：Vol.25, No.6, pp. 834 - 839

摘要/Abstract：

A novel approach for near-lossless compression of Color Filtering Array(CFA)data in wireless endoscopy capsule is proposed in this paper.The compression method is based on pre-processing and vector quantization.First,the CFA raw data are low pass filtered and rearranged during pre-processing.Then,pairs of pixels are vector quantized into macros of 9 bits by applying block par-tition and index mapping in succession.These macros are entropy compressed by Joint Photographic Experts Group-Lossless Standard(JPEG-LS)finally.The complex step of codeword searching in Vector Quantization(VQ)is avoided by a predefined partition rule,which is suitable for hardware imple- mentation.By control of the pre-processor and VQ scheme,either high quality compression under an- filtered case or high ratio compression under filtered case can be realized,with the average Peak Sig- nal-to-Noise Ratio(PSNR)more than 43dB and 37dB respectively.Compared with the state-of-the-art method and the previously proposed method,our compression approach outperforms in compression performance as well as in flexibility.