Title | ||
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Power-constrained contrast enhancement for emissive displays based on histogram equalization. |
Abstract | ||
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A power-constrained contrast-enhancement algorithm for emissive displays based on histogram equalization (HE) is proposed in this paper. We first propose a log-based histogram modification scheme to reduce overstretching artifacts of the conventional HE technique. Then, we develop a power-consumption model for emissive displays and formulate an objective function that consists of the histogram-equalizing term and the power term. By minimizing the objective function based on the convex optimization theory, the proposed algorithm achieves contrast enhancement and power saving simultaneously. Moreover, we extend the proposed algorithm to enhance video sequences, as well as still images. Simulation results demonstrate that the proposed algorithm can reduce power consumption significantly while improving image contrast and perceptual quality. |
Year | DOI | Venue |
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2012 | 10.1109/TIP.2011.2159387 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
histogram modification (hm),log-based histogram modification scheme,contrast enhancement,power consumption,video sequences,perceptual quality,objective function,histogram-equalizing term,emissive displays,image contrast,emissive display,power term,low-power image processing,proposed algorithm,power-constrained contrast-enhancement algorithm,display instrumentation,power-constrained contrast enhancement,image enhancement,histogram equalization (he),histogram equalization,convex optimization theory,convex optimization,image processing,helium,organic light emitting diode,organic light emitting diodes,pixel,histograms | Computer vision,Histogram,Computer science,Histogram matching,Image processing,Adaptive histogram equalization,Artificial intelligence,Pixel,Histogram equalization,Convex optimization,Power consumption | Journal |
Volume | Issue | ISSN |
21 | 1 | 1941-0042 |
Citations | PageRank | References |
40 | 1.57 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chulwoo Lee | 1 | 144 | 7.92 |
Chul Lee | 2 | 190 | 11.67 |
Young-Yoon Lee | 3 | 68 | 9.62 |
Chang-Su Kim | 4 | 1524 | 137.29 |