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http://dx.doi.org/10.6109/jkiice.2020.24.11.1431

Noise Removal of Image Signals using Inflection Points on Histogram  

Baek, Ji-Hyeon (Dept. of Smart Robot Convergence and Application Eng., Pukyong National University)
Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.11, 2020 , pp. 1431-1436 More about this Journal
Abstract
In modern society, various video devices such as CCTV and black boxes are used for convenience. However, noise is frequently generated in the process of transmitting and receiving video images and video signals photographed at night. If such noise is not eliminated, the problem that the image is difficult to identify is generated. Accordingly, noise elimination of images in the image information is an indispensable step. Salt and Pepper noises are typical impulse noises among image noises. Previous research has been carried out as a method for eliminating noise, and CWMF, MMF and A-TMF are typical methods. In common, such a filter exhibits excellent performance in a low-density noise area, but a disadvantage is that noise elimination performance in a high-density noise area is somewhat insufficient. Accordingly, the proposed algorithm uses the inflection point of the histogram graph to separate areas and remove singular points, and proposes a weighting filter utilizing histogram distribution. PSNR was used for objective judgment.
Keywords
Histogram; Salt and Pepper noise; Weight filter; PSNR;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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