An Improved Framework for Backlight Scaled Images and Videos

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2015 by IJETT Journal
Volume-22 Number-10
Year of Publication : 2015
Authors : Akhil Paulose, Lintu Liz Thomas, Rahul R Pillai, Chithra Chandran
DOI :  10.14445/22315381/IJETT-V22P299


Akhil Paulose, Lintu Liz Thomas, Rahul R Pillai, Chithra Chandran"An Improved Framework for Backlight Scaled Images and Videos", International Journal of Engineering Trends and Technology (IJETT), V22(10),488-492 April 2015. ISSN:2231-5381. published by seventh sense research group

Now-a-days, the major problem found in the portable multimedia devices of today is of maintaining the image quality under various lighting conditions. The brightness of an image influences the battery capacity of a device. Reducing the backlight increases the battery life of these devices. In this paper an image enhancement algorithm is proposed that enhances an image at low backlight, by taking the human visual property into consideration. The just noticeable difference theory (JND) is applied and an image is decomposed into two layers namely, the HVS response layer and the background luminance layer. The operations of the proposed algorithm are performed in the background luminance layer so that luminance gradient reversal can be avoided. The algorithm is further extended to enhance dim backlight videos.


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Backlight, JND, HVS, background luminance.