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Adaptive color image enhancement based geometric mean filter

Published: 12 February 2011 Publication History

Abstract

In this paper, an adaptive color image enhancement based on geometric mean filter is proposed. The contrast of the color image is enhanced by using saturation feedback from saturation components and incorporating spatial information into luminance components. Hue is preserved in order to avoid color distortion. The adaptive luminance enhancement is achieved by using a geometric mean filter in place of arithmetic mean filter since arithmetic mean filter tends to lose image detail such as edges and sharpness when compared to geometric mean filter. The traditional algorithm uses the arithmetic mean filter which smoothes local variations of luminance and saturation. The reconstructed quality of image using this scheme is generally not satisfactory. In the proposed method, geometric mean filter has been adopted that achieves very good quality reconstructed images, far better than that possible with the arithmetic mean filter. It not only enhances poor quality images but also solves the problem of gray world violation. The experimental results show that color images enhanced by this algorithm are clearer, vivid and efficient.

References

[1]
R. C. Gonzalez and R. E. Woods, Digital Image Processing Reading, MA: Addison-Wesley, 1992.
[2]
Anil. K. Jain, Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
[3]
Melkamu H. Asmare, Vijanth S. Asirvadam and Lila Iznita, "Color Space Selection for Color Image Enhancement Applications", Proceedings of International Conference on Signal Acquisition and Processing, pp. 208--212, July 2009.
[4]
Dong Yu, Li-Hong Ma and Han-Qing Lu, "Normalized SI Correction for Hue-Preserving Color Image Enhancement", Proceedings of the 6th International Conference on Machine Learning and Cybernetics (ICMLC 2007), Vol. 3, pp. 1498--1503, 2007.
[5]
Gang Song and Xiang-Lei Qiao, "Adaptive Color Image Enhancement based on Human Visual Properties", Proceedings of International Congress on Image and Signal Processing, 2008.
[6]
Doo Hyun 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", Proceedings of IEEE International Symposium, Circuits and System, pp. 3948--3951, 2007.
[7]
Xinghav Ding, Xinxin Wang and Quan Xiao, "Color Image Enhancement with a Human Visual System Based Adaptive Filter", Proceedings of International Conference on Image Analysis and Signal Processing (IASP), pp. 79--82, 2010.
[8]
Hongqing Hu and Guoqiang Ni, "The Improved Algorithm for the Defect of the Retinex Image Enhancement", Proceedings of International Conference on Anti-Counterfeiting Security and Identification in Communication (ASID), pp. 257--260, 2010.
[9]
D. J. Jobson, Z. Rahman, and G. A. Woodell, "A Multiscale retinex for bridging the gap between color images and the human observation of scenes," IEEE Transaction on Image Processing, Vol. 6, No. 7, pp. 965--976, July 1997.
[10]
M. Ogata, T. Tsuchiya, T. Kubozono, and K. Ueda, "Dynamic range compression based on illumination compensation", IEEE Transaction on Consumer Electronics, Vol. 47, No. 3, 2001.
[11]
Xiang Jie, HanLi-Na, Geng Guo-Hua and Zhou Ming-Quan, "Based on HSV Space Real Color Image Enhanced by Multiscale Homomorphic Filters in Two Channels", Proceedings of WRI Global Congress on Intelligent Systems, Vol. 3, pp. 548--558, 2001.
[12]
R. N. Strickland, C. S. Kim and W. F. McDonnell, "Digital Color Image Enhancement Based on the Saturation Component", Optical Engineering, Vol. 26, No. 7, pp. 609--616, 1987.
[13]
B. A. Thomas, R. N. Strickland and Heffrey J, "Color Image Enhancement using Spatially Adaptive Saturation Feedback", IEEE International Conference on Image Processing, Oct. 26--29, Vol. 3, pp. 30--33, 1997.
[14]
Gang Song and Xiang-Lei Qiao, "Color Image Enhancement based on Luminance and Saturation Components", Proceedings of International Congress on Image and Signal Processing, 2008.
[15]
Doo Hyun Choi, Ick Hoon Jang, Mi Hye Kim, and Nam Chul Kim, "Color Image Enhanced Using Single-Scale Retinex based on an Improved Image Formation Model", Proceedings of 16th European Signal Processing Conference (EUSIPCO-2008).
[16]
S. K. Naik and C. A. Murthy, "Hue-Preserving color image enhancement without gamut problem", in IEEE transaction on Image Processing, Vol. 12, No. 12, pp. 1591--1598, 2003.

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      cover image ACM Other conferences
      ICCCS '11: Proceedings of the 2011 International Conference on Communication, Computing & Security
      February 2011
      656 pages
      ISBN:9781450304641
      DOI:10.1145/1947940
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 12 February 2011

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      Author Tags

      1. HSV
      2. color image enhancement
      3. geometric mean filter
      4. saturation feedback

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      • (2021)Contrast Study of Side Scan Sonar Image Enhancement Methods2021 OES China Ocean Acoustics (COA)10.1109/COA50123.2021.9520059(995-999)Online publication date: 14-Jul-2021
      • (2017)Gradient-guided color image contrast and saturation enhancementInternational Journal of Advanced Robotic Systems10.1177/172988141771168314:3(172988141771168)Online publication date: 12-Jun-2017
      • (2015)Color enhancement for images from digital camera using a transformation-free approach2015 9th International Conference on Sensing Technology (ICST)10.1109/ICSensT.2015.7438385(168-172)Online publication date: Dec-2015
      • (2014)Image Enhancement Using Geometric Mean Filter and Gamma Correction for WCE ImagesNeural Information Processing10.1007/978-3-319-12643-2_34(276-283)Online publication date: 2014
      • (2012)Detection and tracking of moving object based on PTZ camera2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)10.1109/ICACI.2012.6463213(493-497)Online publication date: Oct-2012
      • (2012)A Novel FPGA Based Reconfigurable Architecture for Image Color Space ConversionGlobal Trends in Information Systems and Software Applications10.1007/978-3-642-29216-3_32(292-301)Online publication date: 2012

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