RESEARCH ARTICLE
Research on an Improved Medical Image Enhancement Algorithm Based on P-M Model
Luo Aijing1, Yin Jin2, *
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 209
Last Page: 213
Publisher ID: TOBEJ-9-209
DOI: 10.2174/1874120701509010209
Article History:
Received Date: 10/4/2015Revision Received Date: 20/5/2015
Acceptance Date: 15/6/2015
Electronic publication date: 31/8/2015
Collection year: 2015
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.
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.