English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62805/95882 (66%)
造访人次 : 3874790      在线人数 : 303
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/107147

    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





    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈