Research On Image Deblocking Algorithm In Visual Communication

Image coding remains a hot research topic with the fast development of computer and communication technologies. The information that people assimilate from the real world can be divided into 3 types: voice, text and image. Image is the most important informational source of people because it is the most impressive matter. However, since image contains huge information, it must be compressed before transmission. So it is a crucial topic to develop a high-compression-ration, high-quality and low-cost image coding algorithm. The block-based discrete cosine transform (DCT) is the most widely adopted transformation for state-of-the-art image/video coding standard. Due to the high compression ration, blocking artifacts is an inevitable side effect for block DCT based coding methods. Thus it is a meaningful task to research how to suppress the blockiness. The major contribution of the paper is as follows:A brief introduction of the Human Visual System (HVS), from both the biological and psychological points of view. Various aspects of the HVS has been referred to, such as the anatomical structure, the contrast sensitivity function, the movement of the eyes and some masking effects of the HVS.The detailed introduction of the image deblocking algorithms according to the operational domain of the algorithms, e.g. the spatial domain, the DCT domain and the wavelet domain.The introduction of multi resolution analysis of image, with emphasis on the dyadic wavelet transform and the multiscale edge extraction of image.The proposed multiscale analysis based image deblocking algorithm and extended experimental results and comparative studies.