Implementation of Modified Particle Swarm Optimization Algorithm for Image Contrast Enhancement
K. Balasubramanian1, M. Rajinikannan2, A. Vanitha Katherine3, R. Muthumeenakshi4, G. Sivakumar5
1K. Balasubramanian*, MCA Department, PSNA College of Engineering and Technology, Dindigul, India.
2Rajinikannan Marimuthu, Associate Professor, Department of Computer Applications, PSNA College of Engineering and Technology Affiliated to Anna University, Chennai, India.
3Vanitha Katharine, Associate Professor, Department of Computer Applications, PSNA College of Engineering and Technology affiliated to Anna University, Chennai, India.
4Muthumeenakshi R., Assistant Professor, Department of Computer Applications, PSNA College of Engineering and Technology affiliated to Anna University, Chennai, India.
5Dr. G. Sivakumar, Librarian, PSNA College of Engineering and Technology affiliated to Anna University, Chennai, India
Manuscript received on January 11, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 1030-1036 | Volume-9 Issue-4, February 2020. | Retrieval Number: C9041019320/2020©BEIESP | DOI: 10.35940/ijitee.C9041.029420
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image contrast enhancement is mostly preferred approach for Medical Image Processing field. In this work, a new Histogram Specification (HS) based image contrast enhancement scheme is described. The optimal values of the weighing constraints are progressed through the standard of Modified Particle Swarm Optimization (MPSO) with respect to the histogram of the input processed images. The proposed scheme improves the contrast of the input processed image superior than its existing histogram equalization methods. Henceforth, this method can efficiently be utilized in the fields including image processing, electronics etc. The overall evaluation of the HS scheme can be computed by means of Discrete Entropy (DE) and Contrast Improvement Index (CII).
Keywords: Contrast Improvement Index, Contrast enhancement, Discrete Entropy, Histogram Equalization, Histogram Specification, Image Enhancement, Particle Swarm Optimization.
Scope of the Article: Algorithm Engineering