Paper Info
Title
Renovating Contaminative Image Archives based on Patch Propagation and Adaptive Confidence Collation
Abstract
The preservation of classical archives is an essential task in the digitization of culture. So far, there remain two crucial challenges in archiving treasurable but aged image records. The first one is to eliminate a large scale smudge located in a smooth ground, while the second one is to improve the readability of text content. Undoubtedly, the quality of an aged image is always degraded by antiquated smears, and the same situation occurs to obscuring the content of a text image. In this article, the authors apply the concept of patch propagation to help renovating contaminative images and introduce an adaptive confidence collation strategy to avoid the phenomenon of error diffusion, which often results in serious distortion in repairing. Furthermore, the techniques of Canny detection and center weighted median filter are adopted in the proposed mechanism to refine the blurry target. In particular, the obscured text of aged images can be improved in the new mechanism, while it is seldom concerned in related works.
Year
DOI
Venue
2016
10.1109/TCSVT.2015.2430591
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
adaptive confidence,error diffusion,image archive,patch propagation,renovation
Computer vision,Digitization,Median filter,Computer science,Error diffusion,Readability,Artificial intelligence,Image restoration,Distortion,Collation,Maintenance engineering
Journal
Volume
Issue
ISSN
PP
99
1051-8215
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Jung-San Lee135330.52
Wen-Kai Tsai2257.60
Bo Li3971111.71