An efficient YCgCo-based image compression algorithm for capsule endoscopy

An efficient YCgCo color space based image compression algorithm for the capsule endoscopy application is presented in this paper. The algorithm is developed taking the advantage of the special characteristics of the endoscopic images and the energy compaction capabilities of the YCgCo color plane. The compression scheme provides high reconstruction image quality (PSNR of over 52dB) and competitive compression ratio (over 80%). The algorithm uses integer-based forward transform followed by a simple implementation-friendly quantization stage that requires less hardware cost, and thus is suitable for power limited wireless capsule endoscope systems.