Abstract
In this paper, an image dimming perceptual model is proposed
as the foundation of image compensation and quality evaluation. Specifically,
under this model an ideal compensation function is derived out and
objective quality metrics SSIM and PSNR are adopted to evaluate the
compensation performance. A practical compensation function is obtained
by modifying the ideal compensation function under the consideration
both of visual perception and objective quality. By using the SSIM
and PSNR metrics, the relationship between image mean values, backlight
levels, and image quality is further investigated. Base on this a
novel scheme of backlight level adaptive adjustment is presented.
Numerous experimental results verify the effectiveness of the model
and demonstrate the advantages of the compensation and backlight level
adaptive adjustment techniques.
© 2015 IEEE
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