A Study of a Modified Histogram Based Fast Enhancement Algorithm (MHBFE)

• Published in: Signal and image processing : an international journal Vol. 5; no. 1; pp. 55 - 67
• Main Authors: A. Kandeel, Amany, Abbas, Alaa M, Hadhoud, Mohiy M, Saghir, Zeiad El
• Format: Journal Article
• Language: English
• Published: 28.02.2014
• Subjects: Algorithms; Entropy; Equalization; Histograms; Image enhancement; Image processing; Image quality
• ISSN: 2229-3922; 0976-710X
• DOI: 10.5121/sipij.2014.5105

Image enhancement is one of the most important issues in low-level image processing. The goal of image enhancement is to improve the quality of an image, such that enhanced image is better than the original image. Conventional Histogram equalization is one of the most algorithms used in the contrast enhancement of medical images, this due to its simplicity and effectiveness. However, it causes the unnatural look and visual artefacts, where it tends to change the brightness of an images. The Histogram Based Fast Enhancement Algorithm tries to enhance the CT head images, where it improves the water-washed effect caused by conventional histogram equalization algorithms with less complexity. It depends on using full gray levels to enhance the soft tissues ignoring other image details. The authors have presented a modification of this algorithm to be valid for most CT image types with keeping the degree of simplicity. Experimental results show that, the modified histogram based fast enhancement algorithm enhances the results in term of PSNR, AMBE and entropy.