Image Enhancement with Statistical Estimation

TL;DR

This paper presents a novel contrast enhancement technique for bimodal and multi-modal images using binarization and maximum likelihood estimation to improve image histograms and contrast quality.

Contribution

It introduces a new method combining binarization and histogram specification with MLE for effective contrast enhancement of complex images.

Findings

Improved contrast in bimodal and multi-modal images.

Outperforms existing contrast enhancement methods.

Enhances image histogram quality.

Abstract

Contrast enhancement is an important area of research for the image analysis. Over the decade, the researcher worked on this domain to develop an efficient and adequate algorithm. The proposed method will enhance the contrast of image using Binarization method with the help of Maximum Likelihood Estimation (MLE). The paper aims to enhance the image contrast of bimodal and multi-modal images. The proposed methodology use to collect mathematical information retrieves from the image. In this paper, we are using binarization method that generates the desired histogram by separating image nodes. It generates the enhanced image using histogram specification with binarization method. The proposed method has showed an improvement in the image contrast enhancement compare with the other image.