淡江大學機構典藏:Item 987654321/107147
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    题名: Image Enhancement
    作者: Lin, Hwei-Jen;Chang, Hsiao Wei;Yang, Fu-Wen;Li, Yue Sheng;Chuang, Hua
    关键词: image enhancement;edge enhancement;Particle Swarm Optimization (PSO);deconvolution
    日期: 2016-04-11
    上传时间: 2016-08-18 13:32:38 (UTC+8)
    摘要: 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.
    關聯: International Conference on Engineering & Technology, Computer, Basic & Applied Sciences
    显示于类别:[資訊工程學系暨研究所] 會議論文

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