A Way for Color Image Enhancement under Complex Luminance Conditions
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.
KeywordsInput Image Histogram Equalization Bright Area High Dynamic Range Image Color Filter Array
Unable to display preview. Download preview PDF.
- 1.Gonzalez, R.C., Woods, R.E.: Digital image processing, 2nd edn. Prentice Hall, Inc., New Jersey (2002)Google Scholar
- 4.Moroney, N.: Method and System of Local Color Correction Using Background Luminance Mask. U.S. 6, 741, 753 (2004)Google Scholar
- 8.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)Google Scholar
- 9.Sun, B., Chen, W., Li, H., Tao, W., Li, J.: Modified luminance based adaptive MSR. In: IEEE ICIG, pp. 116–120 (2007)Google Scholar