Region Based Contrast Limited Adaptive HE with Additive Gradient for Contrast Enhancement of Medical Images (MRI)
Sonia Goyal1, Seema2 

1Sonia Goyal, Department of CSE, YCOE, Punjabi University Campus, Talwandi Sabo, India.
2Seema, Department of CSE, YCOE, Punjabi University Campus, Talwandi Sabo, India.

Manuscript received on August 19, 2011. | Revised Manuscript received on August 29, 2011. | Manuscript published on September 05, 2011. | PP: 154-157 | Volume-1 Issue-4, September 2011. | Retrieval Number: D0111081411/2011©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: Digital Image Processing has been widely implemented in Medical Imaging. Various branches of medical science are using digital image processing as an extensive process to visualize and extract more details from the image. Quality enhancement of medical images can be performed with the help of various techniques. Contrast Enhancement is one of the most acceptable methods for enhancement of medical images. Different contrast enhancement methods like Contrast Stretching, Histogram Equalization, AHE, CLAHE are already available. Method selection depends on characteristics of image. This paper works on low contrast MRI images and presents a hybrid methodology for image enhancement. Results of the proposed algorithm have been compared against the existing major contrast enhancement techniques and Region Based Adaptive Contrast Enhancement (RBACH) on both qualitative and quantitative basis.
Keywords: Histogram Equalization, Adaptive, Convolution, Mask, X-Ray, Neighborhood, RBACH.