Abstract
A fast segmentation-based backlight dimming is proposed using
a human perception-based three dimensional (3D) histogram. The conventional
segmentation-based backlight-dimming technique requires high computation
time, and cannot change the number of segments, which in turn degrades
the image quality. The proposed method significantly reduces the computation
time using a histogram-based segmentation approach and dynamically
changes the number of segments using the peak extraction. Moreover,
it uses the RGB-combined histogram for calculating the acceptable
candidate error to further reduce the computation time. It can select
the most suitable trade-off point between the image quality and power
consumption while requiring low computation time. Based on the experimental
results, the proposed method appropriately selected the trade-off
point between the image quality and power consumption in images with
full high-definition resolution and reduced the computation complexity
by up to 43.551 s (75.73%) compared with the benchmark method.
© 2015 IEEE
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