DocumentCode
7510
Title
Power-Constrained Contrast Enhancement Algorithm Using Multiscale Retinex for OLED Display
Author
Yeon-Oh Nam ; Dong-Yoon Choi ; Byung Cheol Song
Author_Institution
Dept. of Electron. Eng., Inha Univ., Incheon, South Korea
Volume
23
Issue
8
fYear
2014
fDate
Aug. 2014
Firstpage
3308
Lastpage
3320
Abstract
This paper presents a power-constrained contrast enhancement algorithm for organic light-emitting diode display based on multiscale retinex (MSR). In general, MSR, which is the key component of the proposed algorithm, consists of power controllable log operation and subbandwise gain control. First, we decompose an input image to MSRs of different sub-bands, and compute a proper gain for each MSR. Second, we apply a coarse-to-fine power control mechanism, which recomputes the MSRs and gains. This step iterates until the target power saving is accurately accomplished. With video sequences, the contrast levels of adjacent images are determined consistently using temporal coherence in order to avoid flickering artifacts. Finally, we present several optimization skills for real-time processing. Experimental results show that the proposed algorithm provides better visual quality than previous methods, and a consistent power-saving ratio without flickering artifacts, even for video sequences.
Keywords
LED displays; gain control; image enhancement; image sequences; optimisation; organic light emitting diodes; power control; real-time systems; MSR; OLED display; adjacent images; coarse-to-fine power control; different sub-bands; multiscale retinex; optimization; organic light emitting diode display; power controllable log operation; power saving; power-constrained contrast enhancement; real-time processing; subbandwise gain control; temporal coherence; video sequences; visual quality; Dynamic range; Electronic mail; Materials; Organic light emitting diodes; Power control; Power demand; Video sequences; OLED; Power consumption; contrast enhancement; multi-scale retinex;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2014.2324288
Filename
6815989
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