Local sparse representation optimized to edge orientation for inverse halftoning

Author

Chang-Hwan Son

Author_Institution

Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea

fYear

2014

fDate

22-25 June 2014

Firstpage

1

Lastpage

2

Abstract

A method is proposed for fully restoring local image structures of an unknown continuous-tone patch from an input halftoned patch with homogenously distributed dot patterns, based on locally learned dictionary pairs via feature clustering. Experimental results show that the use of the paired dictionary selected by the local edge orientation enables the restored continuous-tone images to include well-expressed fine details and outlines, especially in the areas of textures, lines, and regular patterns.

Keywords

edge detection; feature extraction; image restoration; image texture; feature clustering; homogenously-distributed dot patterns; input halftoned patch; inverse halftoning; line area; local edge orientation; local image structure restoration; local sparse representation; locally-learned dictionary pairs; paired dictionary; regular pattern area; restored continuous-tone images; texture area; unknown continuous-tone patch; Deconvolution; Dictionaries; Image edge detection; Image restoration; PSNR; Vectors; Inverse halftoning; clustering; descriptor; dictionary learning; scalar error diffusion; sparse representation;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on

Conference_Location

JeJu Island

Type

conf

DOI

10.1109/ISCE.2014.6884357

Filename

6884357