Modified Color Brightness Preserving Bi-histogram Equalization with Variable Enhancement Degree for Restoration of Skin Color

Histogram equalization (HE) is a popular techniques used for digital image enhancement. In case of Color image processing, brightness of the color is to be preserved. In this paper, author has taken an attempt to restore the skin color in the color image. Existing method for enhancement have been verified and implemented for restoration. The control parameter has also been formulated. According to the control parameter, the existing BBHEwVED method has been modified and applied for skin color restoration. After comparison of all the method, it has been found that method 5 shows excellent results. Our proposed method is able to control the enhancement degree, where the mean of image is preserved, hence all kinds of images are enhanced adequately. We mainly consider the natural color images like human face to restore the original skin color. Thus, we adjust the parameter of BBHEwVED, in order to restore the skin color of human face.

[1]  Sheng-Jyh Wang,et al.  Generalized Histogram Equalization Based on Local Characteristics , 2006, 2006 International Conference on Image Processing.

[2]  Wenjun Wang,et al.  Application of adaptive histogram equalization to x-ray chest images , 1994, Other Conferences.

[3]  S. Pizer,et al.  An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement. , 1988, IEEE transactions on medical imaging.

[4]  Panos Trahanias,et al.  Color image enhancement through 3-D histogram equalization , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

[5]  H.J. Trussell,et al.  Color image generation and display technologies , 2005, IEEE Signal Processing Magazine.

[6]  Chih-Cheng Hung,et al.  Image enhancement using the modified cosine function and semi-histogram equalization for gray-scale and color images , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[7]  Dia I. Abu-Al-Nadi,et al.  Road traffic sign detection in color images , 2003, 10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003.

[8]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[9]  Joonki Paik,et al.  Adaptive contrast enhancement using gain-controllable clipped histogram equalization , 2008, IEEE Transactions on Consumer Electronics.

[10]  Yücel Altunbasak,et al.  A Histogram Modification Framework and Its Application for Image Contrast Enhancement , 2009, IEEE Transactions on Image Processing.

[11]  Jeffrey J. Rodríguez,et al.  A multivariate contrast enhancement technique for multispectral images , 1995, IEEE Trans. Geosci. Remote. Sens..

[12]  W.E. Snyder,et al.  Color image processing pipeline , 2005, IEEE Signal Processing Magazine.

[13]  Qian Chen,et al.  Image enhancement based on equal area dualistic sub-image histogram equalization method , 1999, IEEE Trans. Consumer Electron..

[14]  Chun-Ming Tsai,et al.  Contrast enhancement by automatic and parameter-free piecewise linear transformation for color images , 2008, IEEE Transactions on Consumer Electronics.

[15]  Mrutyunjaya Sahani,et al.  Real time color image enhancement with a high regard for restoration of skin color by using Raspberry Pi , 2014, 2014 International Conference on Communication and Signal Processing.

[16]  Baoguo Xu,et al.  An Image Enhancement Approach Using Retinex and YIQ , 2009, 2009 International Conference on Information Technology and Computer Science.

[17]  I. R. Babu,et al.  Contrast enhancement of IRS-1C LISS data , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[18]  Akira Taguchi,et al.  Modified histogram equalization with variable enhancement degree for image contrast enhancement , 2009, 2009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

[19]  Akira Taguchi,et al.  A color image enhancement method with a high regard for restoration of skin color , 2012, 2012 International Symposium on Intelligent Signal Processing and Communications Systems.

[20]  Haidi Ibrahim,et al.  Color image enhancement using brightness preserving dynamic histogram equalization , 2008, IEEE Transactions on Consumer Electronics.

[21]  Gerald Schaefer,et al.  Illuminant and device invariant colour using histogram equalisation , 2005, Pattern Recognit..

[22]  R. Berns.  Billmeyer and Saltzman's Principles of Color Technology , 2000 .