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
Link To Document :
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