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http://dx.doi.org/10.6109/jkiice.2018.22.11.1462

Real-Time Hardware Design of Image Quality Enhancement Algorithm using Multiple Exposure Images  

Lee, Seungmin (Department of Electronic Engineering, Dong-A University)
Kang, Bongsoon (Department of Electronic Engineering, Dong-A University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.11, 2018 , pp. 1462-1467 More about this Journal
Abstract
A number of algorithms for improving the image quality of low light images have been studied using a single image or multiple exposure images. The low light image is low in contrast and has a large amount of noise, which limits the identification of information of the subject. This paper proposes the hardware design of algorithms that improve the quality of low light image using 2 multiple exposure images taken with a dual camera. The proposed hardware structure is designed in real time processing in a way that does not use frame memory and line memory using transfer function. The proposed hardware design has been designed using Verilog and validated in Modelsim. Finally, when the proposed algorithm is implemented on FPGA using xc7z045-2ffg900 as the target board, the maximum operating frequency is 167.617MHz. When the image size is 1920x1080, the total clock cycle time is 2,076,601 and can be processed in real time at 80.7fps.
Keywords
Blending; Dual-Camera; Multiple exposure images; Memory; Real time processing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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