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文伟; 汪雪林; 彭思龙; WenWei; WangXuelin; PengSilong,
Source Publication计算机辅助设计与图形学学报
Other AbstractIn this paper , a new postprocessing method based on Bayesian theo ry is proposed to alleviate the blurring effect and remove the ringing effect of a compressed image.Different from traditional method , blurring effect is considered especially at low bit-rate.The compression is equivalent to the blurring processing follow ed by adding bias , based o n w hich the new postprocessing model is established.An iterative solution is proposed after proper simplificatio n and the parameter selection is discussed.At last , lots of numerical experiments are performed , and the results show that both the subjective perceived quality and the objective evaluation are improved.
Keyword压缩图像后处理 贝叶斯 卷积 迭代 最大后验概率
Document Type期刊论文
Corresponding Author文伟
Recommended Citation
GB/T 7714
文伟,汪雪林,彭思龙,等. 小波变换压缩图像的贝叶斯迭代后处理算法[J]. 计算机辅助设计与图形学学报,2005,17((9)):2015-2021.
APA 文伟,汪雪林,彭思龙,WenWei,WangXuelin,&PengSilong,.(2005).小波变换压缩图像的贝叶斯迭代后处理算法.计算机辅助设计与图形学学报,17((9)),2015-2021.
MLA 文伟,et al."小波变换压缩图像的贝叶斯迭代后处理算法".计算机辅助设计与图形学学报 17.(9)(2005):2015-2021.
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