An adaptive pointwise P-norm regularization for image deconvolution | |
Binbin, Ma1,2; Xiyuan, Hu1; Silong, Peng1 | |
2019-04 | |
会议日期 | 2019年4月23日 |
会议地点 | Jeju Island, Korea |
关键词 | Image Deblurring Non-parametric Pointwise P-norm Hyper-parameter |
DOI | https://doi.org/10.1145/3316551.3316563 |
英文摘要 | We propose a pointwise P-Norm based nonparametric image deconvolution method. In our algorithm, a pointwise p-norm based regular term is used to deal with the different types of regions in a blurry image such as edges, texture and smooth areas. A new hyper-parameter updating method is also adopted to improve the effectiveness and robustness of the proposed algorithm. The experimental results show that the quality of our restored images can outperform the results derived by other algorithms. In addition, our algorithm has a wide adaptation to different blur kernels. |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61571438] |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/23700] |
专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院大学 |
推荐引用方式 GB/T 7714 | Binbin, Ma,Xiyuan, Hu,Silong, Peng. An adaptive pointwise P-norm regularization for image deconvolution[C]. 见:. Jeju Island, Korea. 2019年4月23日. |
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