Literature DB >> 23864206

Enhancement of backlight-scaled images.

Tai-Hsiang Huang, Kuang-Tsu Shih, Su-Ling Yeh, Homer H Chen.   

Abstract

Switching the liquid crystal display (LCD) backlight of a portable multimedia device to a low power level saves energy but results in poor image quality especially for the low-luminance image areas. In this paper, we propose an image enhancement algorithm that overcomes such effects of dim LCD backlight by taking the human visual property into consideration. It boosts the luminance of image areas below the perceptual threshold while preserving the contrast of the other image areas. We apply the just noticeable difference theory and decompose an image into an HVS response layer and a background luminance layer. The boosting and compression processes, which enhance the visibility of the low-luminance image areas, are carried out in the background luminance layer to avoid luminance gradient reversal and over-compensation. The contrast of the processed image is further enhanced by exploiting the Craik-O'Brein-Cornsweet visual illusion. Experimental results are provided to show the performance of the proposed algorithm.

Entities:  

Year:  2013        PMID: 23864206     DOI: 10.1109/TIP.2013.2272517

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  2 in total

1.  Image Enhancement via Subimage Histogram Equalization Based on Mean and Variance.

Authors:  Liyun Zhuang; Yepeng Guan
Journal:  Comput Intell Neurosci       Date:  2017-12-18

2.  A Generative Adversarial Network-Based Image Denoiser Controlling Heterogeneous Losses.

Authors:  Sung In Cho; Jae Hyeon Park; Suk-Ju Kang
Journal:  Sensors (Basel)       Date:  2021-02-08       Impact factor: 3.576

  2 in total

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