Color Image Enhancement Using Multiscale Retinex with Modified Color Restoration Technique

In this paper, a new technique for the enhancement of color image using multiscale retinex with modified color restoration has been proposed. The basic steps of multiscale retinex algorithm have been analyzed, modified and various operations are performed in an orderly manner. The enhancement effects are visually effective. In addition, it adds true color constancy to an image. The experimental results show that multiscale retinex method based on color restoration technique is an efficient and computationally inexpensive. The proposed method not only provides true color fidelity for poor quality images but also averages the color components to gray value for balancing colors.

[1]  Li He,et al.  An Image Enhancement Algorithm Based on Retinex Theory , 2009, 2009 First International Workshop on Education Technology and Computer Science.

[2]  Brian V. Funt,et al.  Investigations into Multi-Scale Retinex , 1998 .

[3]  John J. McCann,et al.  Retinex in Matlab , 2000, CIC.

[4]  Zia-ur Rahman,et al.  A multiscale retinex for bridging the gap between color images and the human observation of scenes , 1997, IEEE Trans. Image Process..

[5]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[6]  D H Brainard,et al.  Analysis of the retinex theory of color vision. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[7]  Xinghao Ding,et al.  Color image enhancement with a human visual system based adaptive filter , 2010, 2010 International Conference on Image Analysis and Signal Processing.

[8]  Y. Terai,et al.  Color image contrast enhancement by Retinex model , 2009, 2009 IEEE 13th International Symposium on Consumer Electronics.

[9]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Guoqiang Ni,et al.  The improved algorithm for the defect of the Retinex image enhancement , 2010, 2010 International Conference on Anti-Counterfeiting, Security and Identification.

[11]  Vijayan K. Asari,et al.  Image enhancement for improving face detection under non-uniform lighting conditions , 2008, 2008 15th IEEE International Conference on Image Processing.