Color image enhancement with high saturation using piecewise linear gamut mapping

Abstract Most of the color image enhancement algorithms are implemented in two stages: gray scale image enhancement, which finds the target intensity, and then gamut mapping of the original color coordinates to the target. Therefore, hue preserving gamut mapping is an essential and crucial step, which influences colorfulness. In conventional color mapping methods, color saturation is reduced after intensity modification, which deteriorates subjective image quality. In this paper, a new color enhancement algorithm resulting in high color saturation is proposed. The proposed method employs multiplicative and additive color mapping to improve color saturation without clipping of a color component for increased target intensity as well as decreased cases. This new scheme is fast and effective, therefore, it can be employed to real time applications such as video signal processing.

[1]  Kohei Inoue,et al.  RGB Color Cube-Based Histogram Specification for Hue-Preserving Color Image Enhancement , 2017, J. Imaging.

[2]  C. A. Murthy,et al.  Hue-preserving color image enhancement without gamut problem , 2003, IEEE Trans. Image Process..

[3]  Manjunatha Mahadevappa,et al.  Brightness preserving dynamic fuzzy histogram equalization , 2010, IEEE Transactions on Consumer Electronics.

[4]  Sejung Yang,et al.  Hue-preserving gamut mapping with high saturation , 2013 .

[5]  Uche Afam Nnolim,et al.  An adaptive RGB colour enhancement formulation for logarithmic image processing-based algorithms , 2018 .

[6]  Qi-Chong Tian,et al.  A variational-based fusion model for non-uniform illumination image enhancement via contrast optimization and color correction , 2018, Signal Process..

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

[8]  Chao-Chee Ku,et al.  Luminance-based adaptive color saturation adjustment , 2005, IEEE Trans. Consumer Electron..

[9]  KI SUN SONG,et al.  Hue-preserving and saturation-improved color histogram equalization algorithm. , 2016, Journal of the Optical Society of America. A, Optics, image science, and vision.

[10]  Noriaki Suetake,et al.  Hue-preserving image enhancement in CIELAB color space considering color gamut , 2019, Optical Review.

[11]  Fatih Murat Porikli,et al.  LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement , 2018, Pattern Recognit. Lett..

[12]  Sejung Yang,et al.  A Novel 3-D Color Histogram Equalization Method With Uniform 1-D Gray Scale Histogram , 2011, IEEE Transactions on Image Processing.

[13]  Myung-Ryul Choi,et al.  A contrast enhancement method using dynamic range separate histogram equalization , 2008, IEEE Transactions on Consumer Electronics.

[14]  Mila Nikolova,et al.  Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement , 2014, IEEE Transactions on Image Processing.