Abstract
A novel method of color image enhancement is proposed, in which three or four color channels of the image are transformed to one channel 2-D grayscale image. This paper describes different models of such transformations in the RGB and other color models. Color image enhancement is achieved by enhancing first the transformed grayscale image and, then, transforming back the grayscale image into the colors. The color image enhancement is done on the transformed 2-D grayscale image rather than on the color image. New algorithms of color image enhancement are described in both frequency and time domains. The enhancement by this novel method shows good results. The enhancement of the image is measured with respect to the metric referred to as the Color Enhancement Measure Estimation (CEME).
Highlights
A typical color image consists of three channels with each channel consisting of the image corresponding to the intensity values of particular color
We are proposing a novel color image enhancement method in which all the image processing is done on 2-D grayscale image
The optimum value of alpha chosen for the enhancement is the alpha that gives a maximum Color Enhancement Measure Estimation (CEME) value for the enhanced color image
Summary
A typical color image consists of three channels with each channel consisting of the image corresponding to the intensity values of particular color. In one of the most popular color image processing methods, the processing is done on each channel separately and the final enhanced image is composed by these enhanced channels. The color image is considered as the quaternion image and the three channels in the color image considered as the components in the quaternion number [12-19]. In both these methods, processing is done on three channels of image, or on the 3-D images. We are proposing a novel color image enhancement method in which all the image processing is done on 2-D grayscale image. The image enhancement effects by frequency domain enhancement method such as the alpha-rooting method and spatial domain enhancement method by the histogram equalization by the novel method is studied
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