Efficient Video Coding Optimization Using a Novel Perceptual Distortion Model

Summary form only given. In this paper we propose a video coding optimization strategy for H.264/AVC encoder which uses HVS (Human Visual System) theory to improve the visual quality. It is based on a basic rule that sensitivity of distortion is different according to the image property. Most existing coding strategies which allocate fixed parameters to each unit within a frame are not reasonable because visual redundancy cannot be fully used. Instead, our scheme dynamically changes the coding strategy of different regions. It enhances the quality of regions which is more sensible and slightly decreases the quality of regions which is less sensible. The overall perceptual quality can be improved.