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http://dx.doi.org/10.5573/ieie.2014.51.2.114

Improved Image Restoration Algorithm about Vehicle Camera for Corresponding of Harsh Conditions  

Jang, Young-Min (School of Electrical Engineering, University of Ulsan)
Cho, Sang-Bock (School of Electrical Engineering, University of Ulsan)
Lee, Jong-Hwa (School of Electrical Engineering, University of Ulsan)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.2, 2014 , pp. 114-123 More about this Journal
Abstract
Vehicle Black Box (Event Data Recorder EDR) only recognizes the general surrounding environments of load. In addition, general EDR is difficult to recognize the images of a sudden illumination change. It appears that the lens is being a severe distortion. Therefore, general EDR does not provide the clues of the circumstances of the accident. To solve this problem, we estimate the value of Normalized Luminance Descriptor(NLD) and Normalized Contrast Descriptor(NCD). Illumination change is corrected using Normalized Image Quality(NIQ). Second, we are corrected lens distortion using model of Field Of View(FOV) based on designed method of fisheye lens. As a result, we propose integration algorithm of two methods that correct distortions of images using each Gamma Correction and Lens Correction in parallel.
Keywords
Image Restoration; Low Illumination; Gamma Correction; Lens Distortion; Lens Correction;
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