Low complexity image compression of capsule endoscopy images

Capsule endoscopy is a method for recording images of the digestive tract. A patient swallows a capsule containing a tiny camera, which captures images that are then transmitted wirelessly to an external receiver for examination by a physician. The images are captured using a Bayer filter mosaic, such that each pixel in the raw captured images represents only one color: red, green or blue. Due to limited computational capabilities in the capsule and bandwidth constraints, low-complexity and efficient compression of Bayer endoscopy images is required before transmission. In this paper, we focus on the JPEG algorithm, and show how to adapt it for compressing Bayer endoscopy images. We show that by transformation to the YCgCo color space and appropriate optimization of parameters, significant improvement is achieved over the standard JPEG.