A Novel Color Image Enhancement Method by the Transformation of Color Images to 2-D Grayscale Images

TL;DR

This paper introduces a novel color image enhancement technique that transforms color channels into a 2-D grayscale image for enhancement, then converts back, showing promising results measured by CEME.

Contribution

It proposes a new method of color image enhancement by transforming color channels into a single grayscale image for processing, which is a novel approach.

Findings

Effective enhancement demonstrated on transformed grayscale images

Enhancement quality evaluated using CEME metric

Applicable in both frequency and time domains

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).