Proceedings ArticleDOI
Gray-level Image Enhancement By Particle Swarm Optimization
Apurba Gorai,Ashish Ghosh +1 more
- pp 72-77
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TLDR
Image enhancement is considered as an optimization problem and PSO is used to solve it and an objective criterion for measuring image enhancement is used which considers entropy and edge information of the image.Abstract:
Particle Swarm Optimization (PSO) algorithms represent a new approach for optimization. In this paper image enhancement is considered as an optimization problem and PSO is used to solve it. Image enhancement is mainly done by maximizing the information content of the enhanced image with intensity transformation function. In the present work a parameterized transformation function is used, which uses local and global information of the image. Here an objective criterion for measuring image enhancement is used which considers entropy and edge information of the image. We tried to achieve the best enhanced image according to the objective criterion by optimizing the parameters used in the transformation function with the help of PSO. Results are compared with other enhancement techniques, viz. histogram equalization, contrast stretching and genetic algorithm based image enhancement.read more
Citations
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Journal ArticleDOI
An artificial bee colony algorithm for image contrast enhancement
Amer Draa,Amira Bouaziz +1 more
TL;DR: A new Artificial Bee Colony (ABC) algorithm for image contrast enhancement is proposed, using a grey-level mapping technique and a new image quality measure, and the comparisons of the obtained results with the genetic algorithm have proven its superiority.
Journal ArticleDOI
A Survey on Nature-Inspired Optimization Algorithms and Their Application in Image Enhancement Domain
TL;DR: This study presents an up-to-date review over the application of NIOAs in image enhancement domain and the key issues which are involved in the formulation of NioAs based image enhancement models are discussed here.
Journal ArticleDOI
Particle swarm optimized multi-objective histogram equalization for image enhancement
TL;DR: A multi-objective HE model has been proposed in order to enhance the contrast as well as to preserve the brightness and is proved to have an edge over the other contemporary methods in terms of entropy and contrast improvement index.
Journal ArticleDOI
Computed Tomography Image Enhancement Using Cuckoo Search: A Log Transform Based Approach
Amira S. Ashour,Sourav Samanta,Nilanjan Dey,Noreen Kausar,Wahiba Ben Abdessalemkaraa,Aboul Ella Hassanien +5 more
TL;DR: A CS based approach has superior convergence and fitness values compared to PSO as the CS converge faster that proves the efficacy of the CS based technique and Image Quality Analysis (IQA) justifies the robustness of the proposed enhancement technique.
Journal ArticleDOI
Biologically inspired image enhancement based on Retinex
TL;DR: A learning strategy to select the optimal parameters of the nonlinear stretching by optimizing a novel image quality measurement, named as the Modified Contrast-Naturalness-Colorfulness (MCNC) function, which employs a more effective objective criterion and can better agree with human visual perception.
References
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