Efficient JPEG-LS for Lossless Compression of Rib Cage with Visual Quality Preservation

Abstract

The evolution that has occurred over the past years has increased the demand for telemedicine so that compression of medical images has become an important need. In medical imaging, images belong to the patient, a small percentage of which represents the blood vessels which help the medical staff in the diagnosis. While the rest of the parts of the image are less important in the process of diagnosis and can be priced higher than others. However, the quality of these parts is important for visual perception of the image. Current methods press the front and back images of the vascular Images are through different-techniques. In the research, We use the neural-network In order to remove the valves, the algorithm in this proposed technique has the ability to remove the rear panels.