Enhancement Techniques for Local Content Preservation and Contrast Improvement in Images

TL;DR

This paper introduces a new image enhancement method combining human vision thresholding with existing techniques to better preserve local content and improve contrast, especially in medical and aerial images.

Contribution

A novel enhancement approach that integrates human vision thresholding with existing methods for improved local content preservation and contrast in challenging images.

Findings

Outperforms existing methods in local content preservation

Effective for medical and aerial images

Enhances contrast in dark blurred images

Abstract

There are several images that do not have uniform brightness which pose a challenging problem for image enhancement systems. As histogram equalization has been successfully used to correct for uniform brightness problems, a histogram equalization method that utilizes human visual system based thresholding(human vision thresholding) as well as logarithmic processing techniques were introduced later . But these methods are not good for preserving the local content of the image which is a major factor for various images like medical and aerial images. Therefore new method is proposed here. This method is referred as "Human vision thresholding with enhancement technique for dark blurred images for local content preservation". It uses human vision thresholding together with an existing enhancement method for dark blurred images. Furthermore a comparative study with another method for local content preservation is done which is further extended to make it suitable for contrast improvement. Experimental results shows that the proposed methods outperforms the former existing methods in preserving the local content for standard images, medical and aerial images.