Journal:IEEE Transactions on Pattern Analysis and Machine Intelligence
Key Words:Image restoration, unsupervised Learning
Abstract:Recently, much progress has been made in unsupervised denoising learning. However, existing methods more or less rely on some assumptions on the signal and/or degradation model, which limits their practical performance. How to construct an optimal criterion for unsupervised denoising learning without any prior knowledge on the degradation model is still an open question. Toward answering this question, this work proposes a criterion for unsupervised denoising learning based on the optimal transport theory. This criterion has favorable properties, e.g., approximately maximal preservation of the
Note:机器学习顶刊，CCF-A（IF: 24）
Document Type:期刊论文
ISSN No.:0162-8828
Translation or Not:no
Date of Publication:2022-05-10
Included Journals:SCI
Indexed by:期刊论文