Abstract

In this paper, a perceptual quality-aware power reduction algorithm is proposed. Structural similarity (SSIM) is a widely used metric to evaluate perceptual image quality between original and processed images in a display. The proposed algorithm linearly changes the curve for the gray-level mapping between the input and output considering the target SSIM value. It then modifies the SSIM equation based on the modified curve and extracts the solution, which is the slope of the curve, from the equation. Finally, the algorithm optimally controls image quality by changing the slope of the gray-level mapping curve. Simulation results demonstrate that the proposed algorithm preserves image quality, regardless of image characteristics. In particular, the average SSIM and peak signal-to-noise-ratio values of the proposed algorithm were up to 0.021 and 11.203 dB higher than those of the benchmark algorithm. In addition, the average computation time of the proposed algorithm was up to 0.619 $\mu$ s per pixel lower than that of the benchmark algorithm.

© 2016 IEEE

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