DocumentCode
118322
Title
A method for single frame super resolution with inpainting based on sparse dictionary learning
Author
Umehara, Takuya ; Mimura, Kazushi ; Hirabayashi, Akira
Author_Institution
Grad. Sch. of Inf. Sci., Hiroshima City Univ., Hiroshima, Japan
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
1
Lastpage
5
Abstract
We discuss a method for single frame super resolution with inpainting using the sparse representation of the image and the dictionary learning. We experimentally show that treating super resolution and inpainting simultaneously decreases the salt and pepper noise than super resolution after inpainting.
Keywords
image representation; image resolution; image restoration; image inpainting; pepper noise; salt noise; single frame super resolution; sparse dictionary learning; sparse image representation; DH-HEMTs; Dictionaries; Feature extraction; Image resolution; Sparse matrices; Training; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location
Siem Reap
Type
conf
DOI
10.1109/APSIPA.2014.7041734
Filename
7041734
Link To Document