Abstract
In this paper, we represent a novel method of spectrum enhancement for color and gray-scale images which were received under complex luminance and have dark or/and bright areas. Classical retinex algorithm permits to normalize dark areas and gives a result image with a large contract values especially for grey-scale images that does not satisfy a perceptive observer. Our Enhanced Multi-Scale Retinex (EMSR) algorithm is based on an adaptive equalization of spectral ranges not only in dark areas of image but also in bright areas simultaneously. We built a special function which stretches the spectral ranges with low and high values of intensity but reduces the spectral ranges with middle values. Also a method of image improvement after the EMSR algorithm application based on empirical dependences was designed and has shown better visual results as compared with existing filters.
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References
Gonzalez, R.C., Woods, R.E.: Digital image processing, 2nd edn. Prentice Hall, Inc., New Jersey (2002)
Chen, S.D., Ramli, A.R.: Preserving brightness in histogram equalization based contrast enhancement techniques. Digit. Sig. Proc. 14(5), 413–428 (2004)
Kimmel, R., Shaked, D., Elad, M., Sobel, I.: Space-dependent color gamut mapping: A variational approach. IEEE Trans. Image Process. 14(6), 796–803 (2005)
Moroney, N.: Method and System of Local Color Correction Using Background Luminance Mask. U.S. 6, 741, 753 (2004)
Meylan, L., Alleysson, D., Süsstrunk, S.: Model of retinal local adaptation for the tone mapping of color filter array images. J. Opt. Soc. Am. A 24(9), 2807–2816 (2007)
Land, E.: An alternative technique for the computation of the designator in the retinex theory of color vision. Proc. Natl. Acad. Sci. USA 83(10), 3078–3080 (1986)
Hurlbert, A.C., Poggio, T.: Synthesizing a color algorithm from examples. Science 239(4839), 482–485 (1988)
Choi, D.H., Jang, I.H., Kim, M.H., Kim, N.C.: Color image enhancement based on single-scale retinex with a JND-based nonlinear filter. In: IEEE Int. Symp. Circuits and Syst., pp. 3948–3951 (2007)
Sun, B., Chen, W., Li, H., Tao, W., Li, J.: Modified luminance based adaptive MSR. In: IEEE ICIG, pp. 116–120 (2007)
Meylan, L., Süsstrunk, S.: High Dynamic Range Image Rendering with a Retinex-Based Adaptive Filter. IEEE Trans. Image Process. 15(9), 2820–2830 (2006)
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© 2012 Springer-Verlag Berlin Heidelberg
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Favorskaya, M., Pakhirka, A. (2012). A Way for Color Image Enhancement under Complex Luminance Conditions. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_7
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DOI: https://doi.org/10.1007/978-3-642-29934-6_7
Publisher Name: Springer, Berlin, Heidelberg
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