MRI Image Enhancement for Brain Tumor Detection using Hybridization of Contrast Enhancement Techniques

Magnetic Resonance Imaging also known as MRI is a significant technology used in medical image processing that provides important information on the structure of human soft tissue. As MRI is used to diagnose numerous brain-related severe illnesses, such as brain tumors and spinal cord tumors, image enhancement of the collected brain images is considered to be important by a large number of medical researchers and doctors. Despite the progress of technology, every image has some deficiencies, such as noise, low contrast, low brightness. To solve these issues related to MRI images, various histogram equalization techniques for example HE, CLAHE, BBHE, DSIHE, RMSHE, and Fuzzification and their hybridizations are applied to different MRI images. Metrics such as entropy, PIQE, and BRISQUE are used to evaluate the findings.