A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast Enhancement Purpose of Low Contrast Human Brain CT scan images

TL;DR

This paper compares a new hyper kurtosis based modified duo-histogram equalization (HKMDHE) method with the existing CLAHE technique for enhancing contrast in low contrast human brain CT images, showing promising improvements.

Contribution

The paper introduces a novel HKMDHE algorithm that improves contrast enhancement and brightness preservation over CLAHE for brain CT images.

Findings

HKMDHE achieves higher PSNR values.

HKMDHE results in lower AMMBE values.

HKMDHE outperforms CLAHE in contrast enhancement.

Abstract

In this paper, a comparative study between proposed hyper kurtosis based modified duo-histogram equalization (HKMDHE) algorithm and contrast limited adaptive histogram enhancement (CLAHE) has been presented for the implementation of contrast enhancement and brightness preservation of low contrast human brain CT scan images. In HKMDHE algorithm, contrast enhancement is done on the hyper-kurtosis based application. The results are very promising of proposed HKMDHE technique with improved PSNR values and lesser AMMBE values than CLAHE technique.