DocumentCode :
2503116
Title :
Super-resolution image processing with total variation regularization and shock filters
Author :
Watanabe, Masashi ; Sakuta, Yasutaka ; Goto, Tomio ; Hirano, Satoshi ; Sakurai, Masaru
Author_Institution :
Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
fYear :
2012
fDate :
2-5 Oct. 2012
Firstpage :
570
Lastpage :
571
Abstract :
In this paper, we propose a new super-resolution system based on the total variation (TV) regularization method. The TV regularization method is known to be a very effective method for image magnification with edge enhancement. A problem with the conventional TV magnification method is its high computational time requirement. We propose the introduction of a shock filter in the conventional TV system. Our results show good performance in terms of both better edge enhancement and much lower computational time, as compared with the conventional method. We implemented our system using a multi-core CELL processor, and we verified the possibility of applying our system to an HDTV receiver.
Keywords :
edge detection; filtering theory; high definition television; image enhancement; image resolution; HDTV receiver; TV magnification method; edge enhancement; image magnification; multicore CELL processor; shock filter; super-resolution image processing; total variation regularization; Electric shock; Image edge detection; Image resolution; Interpolation; Maximum likelihood detection; Nonlinear filters; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (GCCE), 2012 IEEE 1st Global Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-1500-5
Type :
conf
DOI :
10.1109/GCCE.2012.6379916
Filename :
6379916
Link To Document :
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