A Detailed Review of Color Image Contrast Enhancement Techniques for Real Time Applications

被引:0
作者
Agalya, P. [1 ]
Hanumantharaju, M. C. [2 ]
Gopalakrishna, M. T. [3 ]
机构
[1] Sapthagiri Coll Engn, Dept Elect & Commun Engn, Bangalore, Karnataka, India
[2] BMS Inst Technol & Management, Dept Elect & Commun Engn, Bangalore, Karnataka, India
[3] Kammavar Sangam Sch Engn & Management, Dept Comp Sci Engn, Bangalore, Karnataka, India
来源
INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 3, INDIA 2016 | 2016年 / 435卷
关键词
Histogram equalisation; CLAHE; Homomorphic filtering; Dark channel prior; Fog images; Poor lighting image;
D O I
10.1007/978-81-322-2757-1_48
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Real-time video surveillance, medical imaging, industrial automation and oceanography applications use image enhancement as a preprocessing technique for the analysis of images. Contrast enhancement is one of a method to enhance low contrast images obtained under poor lighting and fog conditions. In this paper, various variants of histogram equalisation, Homomorphic filtering and dark channel prior techniques used for image enhancement are reviewed and presented. Real-time processing of images is implemented on Field Programmable Gate Array (FPGA) to increase the computing speed. Further this paper focus on the review of contrast enhancement techniques implemented on FPGA in terms of device utilization and processing time.
引用
收藏
页码:487 / 497
页数:11
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