HSI based colour image equalization using iterative nth root and nth power

TL;DR

This paper introduces a novel color image equalization method based on iterative nth root and nth power transformations optimized for different color spaces, outperforming traditional histogram equalization in quality.

Contribution

The paper proposes a new color image equalization technique using iterative nth root and nth power transformations with mean optimization in RGB and HSI spaces, showing improved performance.

Findings

Outperforms conventional histogram equalization in PSNR.

Provides better visual quality in color image enhancement.

Demonstrates effectiveness across different color spaces.

Abstract

In this paper an equalization technique for colour images is introduced. The method is based on nth root and nth power equalization approach but with optimization of the mean of the image in different colour channels such as RGB and HSI. The performance of the proposed method has been measured by the means of peak signal to noise ratio. The proposed algorithm has been compared with conventional histogram equalization and the visual and quantitative experimental results are showing that the proposed method over perform the histogram equalization.