Browse > Article

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)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.4, 2009 , pp. 16-22 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 D. Jobson, Z. Rahman, and G. A. Woodell, "Properties and performance of a center/surround retinex," IEEE Trans. Image Process., vol. 6, no. 3, pp. 451-462, Mar. 1997   DOI   ScienceOn
2 R. Kimmel, M, Elad, D. Shaked, R. Keshet, and I. Sobel, "A variational framework for retinex," Int. J. Comput. Vis., vol. 52, no. 1, pp. 7-23, Jan. 2003   DOI   ScienceOn
3 최두현, 장익훈, 김남철, "개선된 영상 생성 모델에 기반한 칼라 영상 향상," 전자공학회 논문지, 제43권 SP편, 제6호, pp. 65-84, 2006년 11월   과학기술학회마을
4 A. Moore, J. Allman, and R. M. Goodman, "A real-time neural system for color constancy," IEEE Trans. Neural Networks, vol. 2, no. 2, pp. 237-247, Mar. 1991   DOI   ScienceOn
5 L. Meylan and S. Süsstrunk, "High dynamic range image rendering with a retinex-based adaptive filter," IEEE Trans. Image Process., vol. 15, no. 9, pp. 2820-2830, Sep. 2006   DOI   ScienceOn
6 [Online]. Available: http://www.truview.com
7 H. R. Wu and K. R. Rao, Digital Video Image Quality and Perceptual Coding, p. 295, Boca Raton, FL: CRC Press, 2006
8 A. K. Jain, Foundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice- Hall, 1989
9 D. H. Choi, I. H. Jang, M. H. Kim, and N. C. Kim, "Color image enhancement based on single-scale retinex with a JND-based nonlinear filter," in Proc. IEEE Int. Symp. Circuits and Syst., New Orleans, USA, pp. 3948-3951, May 2007
10 M. Ebner, Color Constancy. New York: Wiley, 2007
11 [Online]. Available: http://ivrg.epfl.ch
12 D. H. Choi, I. H. Jang, M. H. Kim, and N. C. Kim, "Color image enhancement using single-scale retinex based on an improved image formation model," in Proc. EUSIPCO-2008, Lausanne, Switzerland, Aug. 2008