We present a lossless and low-complexity image compression algorithm for endoscopic images. The algorithm consists of a static\nprediction scheme and a combination of golomb-rice and unary encoding. It does not require any buffer memory and is suitable\nto work with any commercial low-power image sensors that output image pixels in raster-scan fashion. The proposed lossless\nalgorithm has compression ratio of approximately 73% for endoscopic images. Compared to the existing lossless compression\nstandard such as JPEG-LS, the proposed scheme has better compression ratio, lower computational complexity, and lessermemory\nrequirement. The algorithm is implemented in a 0.18 Ã?µm CMOS technology and consumes 0.16mm Ã?â?? 0.16mm silicon area and\n18 Ã?µWof power when working at 2 frames per second.
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