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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/107147

    Title: Image Enhancement
    Authors: Lin, Hwei-Jen;Chang, Hsiao Wei;Yang, Fu-Wen;Li, Yue Sheng;Chuang, Hua
    Keywords: image enhancement;edge enhancement;Particle Swarm Optimization (PSO);deconvolution
    Date: 2016-04-11
    Issue Date: 2016-08-18 13:32:38 (UTC+8)
    Abstract: Advanced techniques such as image enhancement, deblurring, denoise, and super resolution have been developed to improve image quality post-digitization. Image enhancement is primarily concerned with problems caused by overexposure, underexposure, poor photographic technique, and optical noise. A. Gorai and A. Ghosh [1] proposed a method based on a heuristic algorithm to enhance images by adjusting brightness and contrast. This paper proposes an improved version of the image enhancement method proposed by Gorai and A. Ghosh [1] by properly adjusting contrast and brightness of an image separately. Each part is achieved by a Particle Swarm Optimization (PSO) algorithm that optimizes a transformation function based on a proposed objective function.
    Relation: International Conference on Engineering & Technology, Computer, Basic & Applied Sciences
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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