Medical image enhancement technique using multiresolution gabor wavelet transform

Abstract

Medical images are applied for analysis and diagnosis of particular medical disorder or diseases. Hence, the medical image enhancement technique is necessary and challenging for further processing through computer vision systems. It assists in further processing of medical images for segmentation, detection and prediction of certain diseases such as cancer, tumor and any other disorder. Most of the medical images obtained through various sources are dark and seem to be noisy that requires efficient image enhancement technique that preserves the content of the images. In this paper, the image enhancement technique through multiresolution Gabor wavelet transform is presented. Gabor wavelet transform has demonstrated multiresolution capabilities with better texture enhancement that helps in quality improvement in medical images. Experiments based on public dataset reveal better performance with respect to qualitative and quantitative analysis. Experimental results on several low illuminated medical images demonstrate best results in terms of enhancement parameters and visual testing. Finally, the obtained outcomes are compared with the prominent methods published in the literature.