Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Fundamentals of digital image processing
Fundamentals of digital image processing
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Genetic algorithms for optimal image enhancement
Pattern Recognition Letters
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Self-organizing migration algorithm applied to machining allocation of clutch assembly
Mathematics and Computers in Simulation
Recent advances in differential evolution: a survey and experimental analysis
Artificial Intelligence Review
Metaheuristics: From Design to Implementation
Metaheuristics: From Design to Implementation
Evolutionary Computation for Modeling and Optimization
Evolutionary Computation for Modeling and Optimization
Gray-scale image enhancement as an automatic process driven by evolution
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatic Image Equalization and Contrast Enhancement Using Gaussian Mixture Modeling
IEEE Transactions on Image Processing
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Evolutionary algorithms are metaheuristic techniques that derive inspiration from the natural process of evolution. They can efficiently solve (generate acceptable quality of solution in reasonable time) complex optimisation (NP-hard) problems. In this paper, automatic image enhancement is considered as an optimisation problem and three evolutionary algorithms (genetic algorithm, differential evolution and self organising migration algorithm) are employed to search for an optimum solution. They are used to find an optimum parameter set for an image enhancement transfer function. The aim is to maximise a fitness criterion which is a measure of image contrast and the visibility of details in the enhanced image. The enhancement results obtained using all three evolutionary algorithms are compared amongst themselves and also with the output of histogram equalisation method.