RESEARCH ARTICLE


Research on an Improved Medical Image Enhancement Algorithm Based on P-M Model



Luo Aijing1, Yin Jin2, *
1 Key Laboratory of Medical Information Research (Central South University), College of Hunan Province; The Third Xiangya Hospital of Central South University; Postal code 410013, Changsha, China
2 School of Public Health, Central South University; Xidian University, Postal code 710071, Xi’an, China


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Creative Commons License
© Aijing and Jin; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the (https://creativecommons.org/licenses/by/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the School of Public Health, Central South University; Xidian University, Postal code 710071, Xi’an, China; Tel: 86-29-88204338; E-mail: jyin@xidian.edu.cn


Abstract

Image enhancement can improve the detail of the image to achieve the purpose of the identification of the image. At present, the image enhancement is widely used in medical images, which can help doctor’s diagnosis. IEABPM (Image Enhancement Algorithm Based on P-M Model) is one of the most common image enhancement algorithms. However, it may cause the loss of the texture details and other features. To solve the problems, this paper proposes an IIEABPM (Improved Image Enhancement Algorithm Based on P-M Model). The simulation demonstrates that IIEABPM can effectively solve the problems of IEABPM, and improve image clarity, image contrast, and image brightness.

Keywords: Bending, distortion, image enhancement, Matlab, P-M model, tilt.