Bimodal Technique for Enhancement of Picture Quality of Medical Images

Medical images are useful for diagnosis of medical disorder in human body. Image enhancement has received significant attention in the literature in a bid to help medical personnel in ascertaining the cause of ailment in human body. Conventional techniques for enhancing medical images suffer from over contrast enhancement, noise and poor picture quality. As a result, this work proposes a bimodal technique that combines Histogram Equalization (HE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for improving the picture quality of medical images. The performance of the proposed model in enhancing the picture quality of gray scale X-ray, Computed Tomography (CT) and Magnetic Resonance Image (MRI) images is compared with HE and CLAHE. It is observed that the proposed bimodal technique performs better than HE and CLAHE in all images used as candidates of investigation. It produces better picture quality and better structural quality than HE and CLAHE. It is found that the proposed model exhibits 59% picture quality while HE and CLAHE, respectively, exhibit 11% and 30% picture qualities.