A NEW BLOCKING EFFECT REDUCTION METHOD
When a high compression ratio is required, the Block Discrete Cosine Transform (BDCT) decoded image suffers from the blocking effect: boundaries between adjacent im-age blocks visible for low bit rates. A blocking effect reduc- etion algorithm based on DCT transform and Markov Ran- dom Feield(MRF) is proposed to reduce blocking artifacts as many as possible, while preserving edge information. In this paper, the characteristic of Human visual system (HVS) is sufficiently utilized. A visibility function of blocking artifacts is proposed based on the activity masking and brightness masking properties of HVS. The blocks which visibility of the blocking artifacts is less than the threshold do not need any processing. The proper threshold value for Huber function plays an important role in MRF method. The linear regression is used to adaptively estimate the threshold value.Experimental results show the proposed algorithm can significantly reduce blocking artifacts while preserving edge and texture information.
Block discrete cosine transform (BDCT) Blocking artifacts Human visual system (HVS) Post-filtering
QING-MING YI MIN SHI
Department of Electronic Engineering, JiNan University, Guangzhou 510632, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3865-3869
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）