PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
We consider the quality assessment of images displayed on a liquid crystal display (LCD) with dim backlight-a
situation where the power consumption of the LCD is set to a low level. This energy saving mode of LCD decreases the
perceived image quality. In particular, some image regions may appear so dark that they become non-perceptible to
human eye. The problem becomes more severe when the image is illuminated with very dim backlight. Ignoring the
effect of dim backlight on image quality assessment and directly applying an image quality assessment metric to the
entire image may produce results inconsistent with human evaluation. We propose a method to fix the problem. The
proposed method works as a precursor of image quality assessment. Specifically, given an image and the backlight
intensity level of the LCD on which the image is to be displayed, the method automatically classifies the pixels of an
image into perceptible and non-perceptible pixels according to the backlight intensity level and excludes the nonperceptible
pixels from quality assessment. Experimental results are shown to demonstrate the performance of the proposed method.
Tai-Hsiang Huang,Chen-Tai Kao, andHomer H. Chen
"Quality assessment of images illuminated by dim LCD backlight", Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82911Q (20 February 2012); https://doi.org/10.1117/12.919904
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Tai-Hsiang Huang, Chen-Tai Kao, Homer H. Chen, "Quality assessment of images illuminated by dim LCD backlight," Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82911Q (20 February 2012); https://doi.org/10.1117/12.919904