An Efficient Image Contrast Enhancement Method using Sigmoid Function and Differential Evolution | Zendy

Kim-Ngan Nguyen-Thi | Zendy; Ha CheNgoc | Zendy; Anh-Thy Pham-Chau | Zendy

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An Efficient Image Contrast Enhancement Method using Sigmoid Function and Differential Evolution

Author(s) -

Kim-Ngan Nguyen-Thi,

Ha CheNgoc,

Anh-Thy Pham-Chau

Publication year - 2020

Publication title -

journal of advanced engineering and computation

Language(s) - English

Resource type - Journals

ISSN - 2588-123X

DOI - 10.25073/jaec.202043.267

Subject(s) - sigmoid function , contrast (vision) , image (mathematics) , computer science , artificial intelligence , function (biology) , differential (mechanical device) , contrast enhancement , process (computing) , computer vision , mathematics , physics , evolutionary biology , artificial neural network , biology , operating system , thermodynamics , medicine , radiology , magnetic resonance imaging

Image enhancement is an adjusting process to make an image more appropriate for certain applications. The contrast enhancement is one of the most frequently used image enhancement methods. In this study, we introduce a new image contrast enhancement method using a link between sigmoid function and Di erential Evolution (DE) algorithm. DE algorithm is performed to identify the parameters in sigmoid function so that they can maximize the measure of contrast. The experimental results show that the proposed method not only retains the original image features but also enhances the contrast e ectively.

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