An image contrast enhancement algorithm for grayscale images using particle swarm optimization

2018 ◽  
Vol 77 (18) ◽  
pp. 23371-23387 ◽  
Author(s):  
Madheswari Kanmani ◽  
Venkateswaran Narsimhan
Keyword(s):  
Particle Swarm Optimization ◽  
Contrast Enhancement ◽  
Particle Swarm ◽  
Image Contrast ◽  
Swarm Optimization ◽  
Image Contrast Enhancement ◽  
Enhancement Algorithm ◽  
Grayscale Images

Infrared Image Contrast Enhancement Based on Modified Particle Swarm Optimization

2013 ◽  
Vol 760-762 ◽  
pp. 1389-1393
Author(s):  
Ren Tao Zhao ◽  
You Yu Wang ◽  
Hua De Li ◽  
Jun Tie
Keyword(s):  
Particle Swarm Optimization ◽  
Contrast Enhancement ◽  
Particle Swarm ◽  
Infrared Image ◽  
Optimal Solution ◽  
Image Contrast ◽  
Swarm Optimization ◽  
Modified Particle Swarm Optimization ◽  
Image Contrast Enhancement ◽  
Modified Pso

Adaptive infrared image contrast enhancement is presented based on modified particle swarm optimization (PSO) and incomplete Beta Function. On the basis of traditional PSO, modified PSO integrates into the theory of Multi-Particle Swarm and evolution theory algorithm. By using separate search space optimal solution of multiple particles, the global search ability is improved. And in the iteration procedures, timely adjustment of acceleration coefficients is convenient for PSO to find the global optimal solution in the later iteration. Through infrared image simulation, experimental results show that the modified PSO is better than the standard PSO in computing speed and convergence.

scholarly journals Implementation of Modified Particle Swarm Optimization Algorithm for Image Contrast Enhancement

2020 ◽  
Vol 9 (4) ◽  
pp. 1030-1036
Keyword(s):  
Image Processing ◽  
Particle Swarm Optimization ◽  
Contrast Enhancement ◽  
Particle Swarm ◽  
Histogram Equalization ◽  
Image Contrast ◽  
Swarm Optimization ◽  
Modified Particle Swarm Optimization ◽  
Image Contrast Enhancement ◽  
Overall Evaluation

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).

Composite Image Contrast Enhancement Algorithm Based on Local Adaptive Stretching Window

2009 ◽  
Vol 29 (10) ◽  
pp. 2756-2761
Author(s):  
李成 Li Cheng ◽  
鞠明 Ju Ming ◽  
毕笃彦 Bi Duyan ◽  
刘波 Liu Bo
Keyword(s):  
Contrast Enhancement ◽  
Image Contrast ◽  
Composite Image ◽  
Image Contrast Enhancement ◽  
Enhancement Algorithm
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