Authors: Shashikant, Vinay Saxena
Abstract: MRI and X-ray images are widely used for detecting various prevalent diseases, and accurate diagnosis heavily depends on image quality. Often, images suffer from low contrast due to factors such as uneven or insufficient illumination, mo- tion of the subject or imaging device, and device-related imperfections, some- times accompanied by noise or artifacts. In such cases, an effective contrast enhancement algorithm that improves visibility without amplifying noise or ar- tifacts becomes crucial. In this work, we propose a simple yet efficient contrast enhancement method for medical images, based on dividing a modified entropy curve into two sub-entropy curves and combining it with homomorphic filtering. The proposed approach enhances image contrast while preserving important details and minimizing noise amplification. The effectiveness of the method is demonstrated through comprehensive qualitative and quantitative evaluations, highlighting its potential for improving medical image analysis.
DOI: http://doi.org/10.5281/zenodo.17697301
