基于dct域的去块效应自适应后处理算法分析to the block effect based on dct domain adaptive post-processing algorithm is analyzed.docx

ADAPTIVE POSTFILTERING ALGORITHM BASED ON DISCRETE COSINE TRANSFORM DOMAIN FOR THE DEBLOCKING EFFECTS
ABSTRACT
Currently the digital trend and the demand of multimedia application e much stronger than ever before,and research of video coding has
been the most active one among all multimedia information processing technology fields. , the newly international norm on video coding, stands for the highest achievement in the pression field, and provides more pression, so it has bright future without doubt.
Among kinds of video coding methods, discrete cosine transform (DCT) based on the block is the core of most international image coding standards. However transform based on the block will bring about block artifacts in reconstructed picture when applied in low bit rate environment. The artifacts may lead to the decline of image quality and influence the acceptance of eyes normally, which restricts its application extensively. Up to now, many different methods solving this problem have emerged. This paper focus on the research work of postprocessing algorithm and brings up a new way using adaptive filter based on macro block classification to avoid the block artifacts, improving the quality of decoded image.
Firstly, this paper introduces both the basic concept of pression coding and DCT transform, explains how the e into being; Secondly, this paper analyses the tache related to the appearance and
elimination of block artifact in detail, particularly in + and ;Thirdly, some post filtering deblocking algorithms are analyzed in detail; Lastly, an improved postprocessing filter algorithm is brought up. The algorithm divides the image into regions with different feature through
statistical calculation, such as smooth region、edge region and texture region,
and then processes them individually with the consideration of human visual system. The technique can meet the need of real time process for its simpleness and improving of image subjective qua