Illumination Correction in Medical Image Modalities

Abstract: An image is worth more than ten thousand words. The two principle application area of digital image processing methods (a) improvement of pictorial information for human interpretation and, (b) processing of image data for storage, transmission, and representation for autonomous machine perception. Here we propose a flexible method to enhance contrast of medical images by using modified adaptive gamma correction with a provision to correct the illumination. This proposed transformation technique may enhance the brightness of the darker areas of the image modality. The experimental results shows that the proposed image enhancement technique produces enhanced images of comparable or even higher quality than those produced via conventional methods.

Keywords: Contrast enhancement, medical image modalities, modified adaptive gamma correction, homomorphic filtering