Zero-order Reverse Filtering
Refereed conference paper presented and published in conference proceedings

替代計量分析
.

其它資訊
摘要In this paper, we study an unconventional but practically meaningful reversibility problem of commonly used image filters. We broadly define filters as operations to smooth images or to produce layers via global or local algorithms. And we raise the intriguingly problem if they are reservable to the status before filtering. To answer it, we present a novel strategy to understand general filter via contraction mappings on a metric space. A very simple yet effective zero-order algorithm is proposed. It is able to practically reverse most filters with low computational cost. We present quite a few experiments in the paper and supplementary file to thoroughly verify its performance. This method can also be generalized to solve other inverse problems and enables new applications.
著者Tao X, Zhou C, Shen XY, Wang J, Jia JY
會議名稱16th IEEE International Conference on Computer Vision (ICCV)
會議開始日22.10.2017
會議完結日29.10.2017
會議地點Venice, Italy
會議國家/地區意大利
期刊名稱2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)
會議論文集題名2017 IEEE International Conference on Computer Vision (ICCV)
出版作品名稱2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)
出版年份2017
出版社IEEE
頁次222 - 230
國際標準書號978-1-5386-1032-9
國際標準期刊號1550-5499
語言英式英語
Web of Science 學科類別Computer Science, Artificial Intelligence;Engineering, Electrical & Electronic;Computer Science;Engineering

上次更新時間 2020-19-10 於 03:52