Presentation 2009-05-15
Real-time processing of local contrast enhancement on FPGA
Kentaro KOKUFUTA, Tsutomu MARUYAMA,
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Abstract(in English) Adaptive histogram equalization (AHE) is a method for the local contrast enhancement. AHE computes several histograms of intensity values, each corresponding to a distinct region of the image, and uses them to redistribute the intensity values. AHE is very computationally intensive and not acceptable for most applications. In this paper, we propose a method for real-time computation of AHE using an FPGA. In our system, a histogram is generated for each pixel in a image, and the intensity of the pixel is remapped using the histogram. The computational complexity of this approach is very high, but it can generate smooth enhanced images without using interpolation techniques. By reusing partial histograms by temporarily storing them in on-chip memory banks, and by adding/subtracting all bins in the histograms in parallel, we can achieve real-time processing of HD images using an FPGA.
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Keyword(in English) FPGA / image processing / contrast enhancement
Paper # RECONF2009-14
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Conference Information
Committee RECONF
Conference Date 2009/5/7(1days)
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Registration To Reconfigurable Systems (RECONF)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Real-time processing of local contrast enhancement on FPGA
Sub Title (in English)
Keyword(1) FPGA
Keyword(2) image processing
Keyword(3) contrast enhancement
1st Author's Name Kentaro KOKUFUTA
1st Author's Affiliation Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Tsutomu MARUYAMA
2nd Author's Affiliation Systems and Information Engineering, University of Tsukuba
Date 2009-05-15
Paper # RECONF2009-14
Volume (vol) vol.109
Number (no) 26
Page pp.pp.-
#Pages 6
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