淡江大學機構典藏:Item 987654321/109707
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109707


    Title: A GPU-Accelerated Adaptive Simultaneous Dynamic Range Compression and Local Contrast Enhancement Algorithm for Real-Time Color Image Enhancement
    Authors: Chi-Yi Tsai;Chih-Hung Huang
    Keywords: GPU acceleration;NVIDIA CUDA;Color image enhancement;Dynamic range compression;Local-contrast enhancement
    Date: 2015-09
    Issue Date: 2017-03-03 02:10:52 (UTC+8)
    Publisher: Springer International Publishing
    Abstract: 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.
    Relation: Color Image and Video Enhancement Page233-252
    DOI: 10.1007/978-3-319-09363-5_8
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Chapter

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