Abstract
Enhancement of the image details without affecting the naturalness is a difficult task, especially for non-uniformly illuminated images. While dealing with non-uniformly illuminated images, most of the available image enhancement approaches show common drawbacks such as loss of naturalness and appearance of artifacts in the resultant image. It is very difficult to maintain a trade-off between detail enhancement and naturalness. To deal with this problem, we propose an efficient approach for enhancing local details as well as the color information and preserve the naturalness in the resultant image. The proposed method is effectively enhancing the local details, along with the visibility of the image (having dark and bright regions) without affecting the naturalness. Experimental results also support our claims and confirmations that the proposed approach outperforms other state-of-the-art methods.
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References
T. Arici, S. Dikbas, Y. Altunbasak, A histogram modification framework and its application for image contrast enhancement. IEEE Trans. Image Process. 18(9), 1921–1935 (2009)
S. Chen, A. Beghdadi, Natural enhancement of color image. EURASIP J. Image Video Process. 2010(2), 1–19 (2010)
S. Chen, A. Beghdadi, Natural rendering of color image based on retinex. in Proceedings on IEEE International Conference on Image Processing, Cairo, 1813–1816 November 2009
S.D. Chen, R. Ramli, Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation. IEEE Trans. Consum. Electron. 49(4), 1301–1309 (2003)
S.-D. Chen, R. Ramli, Minimum mean brightness error bi-histogram equalization in contrast enhancement. IEEE Trans. Consum. Electron. 49(4), 1310–1319 (2003)
D. Coltuc, P. Bolon, J. Chassery, Exact histogram specification. IEEE Trans. Image Process. 15(5), 1143–1152 (2006)
G. Deng, A generalized unsharp masking algorithm. IEEE Trans. Image Process. 20(5), 1249–1261 (2011)
R.C. Gonzalez, R.E. Woods, Digital Image Processing, 3rd edn. (Pearson Prentice-hall, Englewood Cliffs, 2009)
G. Guarnieri, S. Marsi, G. Ramponi, High dynamic range image display with halo and clipping prevention. IEEE Trans. Image Process. 20(5), 1351–1362 (2011)
B. Gupta, T.K. Agarwal, Linearly quantile separated weighted dynamic histogram equalization for contrast enhancement. Comput. Electr. Eng. (2017) . https://doi.org/10.1016/j.compeleceng.2017.01.010
B. Gupta, M. Tiwari, Minimum mean brightness error contrast enhancement of color images using adaptive gamma correction with color preserving framework. Int. J. Light Electron Opt. 127, 1671–1676 (2015)
H. Ibrahim, N. Kong, Brightness preserving dynamic histogram equalization for image contrast enhancement. IEEE Trans. Consum. Electron. 53(4), 1752–1758 (2007)
D.J. Jobson, Z. Rahman, G.A. Wodell, A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans. Image Process. 6(7), 965–976 (1997)
D.J. Jobson, Z. Rahman, G.A. Wodell, Properties and performance of a center/surround retinex. IEEE Trans. Image Process. 6(3), 451–462 (1997)
Z. Karel, Contrast Limited Adaptive Histogram Equalization (Academic Press Professional, New York, 1998), pp. 474–485
Y.T. Kim, Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Trans. Consum. Electron. 43(1), 1–8 (1997)
R. Kimmel, M. Elad, D. Shaked, R. Keshet, I. Sobel, A variational framework for retinex. Int. J. Comput. Vis. 52(1), 7–23 (2003)
E.W. Land, J.J. McMann, Lightness and retinex theory. J. Opt. Soc. Am. 61(1), 1–11 (1971)
B. Li, S. Wang, Y. Geng, Image enhancement based on retinex and lightness decomposition. in Proceedings of IEEE International Conference on Image Processing, Blussels, 3417–3420 September 2011
M. Luo, G. Cui, B. Rigg, The development of the CIE 2000 colour-difference formula: CIEDE2000. Color Res. Appl. 26, 340–350 (2001)
L. Meylan, Tone mapping for high dynamic range images. Ph.D thesis, EPFL (2006)
L. Meylan, S. Ssstrunk, High dynamic range image rendering with a retinex-based adaptive filter. IEEE Trans. Instrum. Meas. 15(9), 2820–2830 (2006)
S. Poddar, S. Tewary, D. Sharma et al., Non-parametric modified histogram equalisation for contrast enhancement. IET Image Process. 7(7), 641–652 (2013)
A. Polesel, G. Ramponi, V.J. Mathews, Image enhancement via adaptive unsharp masking. IEEE Trans. Image Process. 9(3), 505–510 (2000)
Z. Rahman, D.J. Jobson, G.A. Woodell, Retinex processing for automatic image enhancement. J. Electron. Imaging 13(1), 100–110 (2004)
D. Sheet, H. Garud, A. Suveer, M. Mahadevappa, J. Chatterjee, Brightness preserving dynamic fuzzy histogram equalization. IEEE Trans. Consum. Electron. 56(4), 2475–2480 (2010)
C. Shen, W. Hwang, Color image enhancement using retinex with robust envelope. in Proceedings of IEEE International Conference on Image Processing, Cairo, 3141–3144 November 2009
Y. Shin, S. Jeong, S. Lee, Efficient naturalness restoration for nonuniform illumination images. IET Image Process. 9(8), 662–671 (2015)
G. Thomas, D. Flores-Tapia, S. Pistorius, Histogram specification: a fast and flexible method to process digital images. IEEE Trans. Instrum. Meas. 60(5), 1565–1578 (2011)
M. Tiwari, B. Gupta, M. Shrivastava, High speed quantile based histogram equalization for brightness preservation and contrast enhancement. IET Image Process. 9(1), 80–89 (2014)
M. Tiwari, B. Gupta, Brightness preserving contrast enhancement of medical images using adaptive gamma correction and homomorphic filtering. in 2016 IEEE Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, 1–4 2016
S. Wang, J. Zheng, H. Hu, B. Li, Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE Trans. Image Process. 22(9), 3538–3548 (2013)
X. Zhang, B. Wandell, A spatial extension of CIELAB for digital color-image reproduction. J. Soc. Inf. Disp. 5, 61–63 (1997)
K. Zuiderveld, Contrast limited adaptive histogram equalization, Chapter VIII, in Graphics Gems IV, ed. by P.S. Heckbert (Academic Press, Cambridge, 1994), pp. 474–485
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We are very grateful to the all the reviewers for giving their precious time in order to review our work. We have found their suggestion very useful in improving the quality of this research article and have humbly incorporated all their suggestions.
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Goel, U., Gupta, B. & Tiwari, M. An Efficient Approach to Restore Naturalness of Non-uniform Illumination Images. Circuits Syst Signal Process 38, 3384–3398 (2019). https://doi.org/10.1007/s00034-018-01021-w
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DOI: https://doi.org/10.1007/s00034-018-01021-w