Abstract
Recently, Nikolova and Steidl have proposed a hue and range preserving histogram specification method which outputs a weighted average of two images generated by additive (shifting) and multiplicative (scaling) algorithms, where the weights are fixed for all pixels in an image. In this paper, we propose a method for selecting the one of the two algorithms at each pixel adaptively. Therefore, there is no need to prepare the weights for combining additive and multiplicative algorithms in the proposed method. Experimental results show that the proposed method can improve the saturation better than the convex combination method by Nikolova and Steidl. We also verify the property of saturation improvement in the proposed method theoretically.
Highlights
Color image enhancement is an important technique in digital image processing for human visual perception and computer vision, where color images are typically recorded in the format of RGB color channels
We use the uniform distribution for the target histogram f, i.e., we perform histogram equalization in color image enhancement
We proposed a method for hue-preserving color image enhancement, where the additive and multiplicative algorithms by Nikolova and Steidl [5] are adaptively combined
Summary
Color image enhancement is an important technique in digital image processing for human visual perception and computer vision, where color images are typically recorded in the format of RGB color channels. The basic flow of color image enhancement procedure may proceed as follows: (1) transform a color from RGB to HSI, (2) enhance the color in a hue-preserving manner, and (3) inversely transform the enhanced color from HSI to RGB Such naive procedures can cause a gamut problem, i.e., the enhanced color may not exist in the RGB color cube. As pointed out by themselves, their scheme always decreases the saturation in a common condition To alleviate this problem, Murahira and Taguchi have proposed improved methods [2] [3], an Inoue et al have proposed a method for maximizing the saturation while preserving the hue [4]. Nikolova and Steidl have proposed new algorithms for hue and range preserving color
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