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Auto Gain/offset Based on Visibility of Spatial JND  

Kim, Mi-Hye (School of Electrical Engineering and Computer Science, Kyungpook National University)
Jang, Ick-Hoon (Department of Electronic Engineering, Kyungwoon University)
Kim, Nam-Chul (School of Electrical Engineering and Computer Science, Kyungpook National University)
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Abstract
In this paper, we propose an auto gain/offset which considers the visibility of human visual system (HVS) and the histogram of a target image jointly. In the proposed method, the lower and upper clipping thresholds are determined to maximize the averaged visibility of the contrast-stretched image. The target image is then contrast-stitched by the gain and offset derived from the clipping thresholds. We define the visibility as a quantity related to the spatial JND, which means the threshold below which any change of a pixel from its textured neighbors is not recognized by the HVS. Experimental results show that the contrast-stretched images by the proposed method have better global and local contrasts compared to the results by some conventional methods.
Keywords
contrast sketching; color image enhancement; human visual system; just noticeable difference; auto gain/offset;
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