English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62568/95224 (66%)
造访人次 : 2532786      在线人数 : 48
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/987654321/109707

    题名: A GPU-Accelerated Adaptive Simultaneous Dynamic Range Compression and Local Contrast Enhancement Algorithm for Real-Time Color Image Enhancement
    作者: Chi-Yi Tsai;Chih-Hung Huang
    关键词: GPU acceleration;NVIDIA CUDA;Color image enhancement;Dynamic range compression;Local-contrast enhancement
    日期: 2015-09
    上传时间: 2017-03-03 02:10:52 (UTC+8)
    出版者: Springer International Publishing
    摘要: Dynamic range compression is an important function used in modern digital video cameras and displays to improve visual quality of standard dynamic range color images. This chapter presents a real-time implementation of an adaptive contrast-enhancing image dynamic range compression algorithm on a graphics processing unit (GPU) for color image enhancement. To achieve this purpose, an image-dependent nonlinear intensity transfer function is first presented to produce a satisfactory dynamic-range compression result with less color artifacts. The proposed algorithm is then derived by combining the proposed nonlinear intensity transfer function with an existing simultaneous dynamic range compression and local-contrast enhancement (SDRCLCE) algorithm, which is a parallelizable method to compress image dynamic range while enhancing local contrast of output images. Finally, the proposed algorithm is implemented on the GPU by using NVIDIA Compute Unified Device Architecture (CUDA), achieving real-time performance in processing high-resolution color images. The proposed GPU-accelerated color image enhancement method had been implemented on a NVIDIA NVS 5200M GPU. Experimental results show that the proposed GPU implementation gains about 7 times acceleration, including the cost of memory copy between host and device, compared with a LUT-accelerated implementation on an Intel Core i7-3520M CPU for color images with size 1024 × 1024 pixels.
    關聯: Color Image and Video Enhancement Page233-252
    DOI: 10.1007/978-3-319-09363-5_8
    显示于类别:[電機工程學系暨研究所] 專書之單篇


    档案 描述 大小格式浏览次数



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