2012 ©
             Publication
Journal Publication
Title of Article DENOISING HIGH DENSITY SALT AND PEPPER NOISE IMAGE BASED ON EUCLIDEAN-LIKE DISTANCE 
Date of Acceptance 22 July 2016 
Journal
     Title of Journal Far East Journal of Electronics and Communications 
     Standard SCOPUS 
     Institute of Journal Pushpa Publishing House 
     ISBN/ISSN  
     Volume  
     Issue  
     Month
     Year of Publication 2016 
     Page 629-643 
     Abstract We propose a new denoising algorithm on grayscale and color images corrupted by salt and pepper noise. Our algorithm is separated into 2 phases. Firstly, we choose the pixel of 0 or 255 and construct the square window of order 3 such that the considered pixel is the center. Another, 0’s and 255’s pixels are replaced by a new value that computes from the remaining pixels of the considered window based on the Euclidean-like distance. Finally, we compare the performance of the standard Median Filter (MF), Adaptive Median Filter (AMF), Decision Based Algorithm (DBA), Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF), Improved Mean Filter (IMF), Mean-Strip Window algorithm (MSW), and the proposed algorithm by using Peak Signal to Noise Ratio (PSNR) as a criteria. The results show that the performance of the proposed algorithm is better than the other algorithms in grayscale and color images in high density of noise. 
     Keyword Euclidean-like distance, noise reduction, salt and pepper noise 
Author
575020017-8 Mr. RATTHASAT THAWONG [Main Author]
Science Master's Degree

Reviewing Status มีผู้ประเมินอิสระ 
Status ได้รับการตอบรับให้ตีพิมพ์ 
Level of Publication นานาชาติ 
citation true 
Part of thesis true 
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