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http://dx.doi.org/10.6109/jkiice.2020.24.10.1255

Noise Removal Method using Entropy in High-Density Noise Environments  

Baek, Ji-Hyeon (Dept. of Control and Instrumentation 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.10, 2020 , pp. 1255-1261 More about this Journal
Abstract
Currently, the spread of mobile devices is gradually increasing. Accordingly, various techniques using images or photos are actively being researched. However, image data generates noise for complex reasons, and the accuracy of image processing increases according to the performance of removing noise. Therefore, noise reduction is one of the essential steps. Salt and pepper noise is a typical impulse noise in the image, and various studies are being conducted to remove the noise. However, existing algorithms have poor noise rejection performance in high frequency areas, and average filters have blurring. Therefore, in this paper, we propose an algorithm that effectively removes salt and pepper noise in the high frequency region as well as the low frequency region using entropy. For objective and accurate judgment of proposed algorithms, MSE and PSNR were used to compare and analyze existing algorithms.
Keywords
Entropy; Salt and Pepper noise; Noise removal; PSNR;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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