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Publication
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| 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 |
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| Volume |
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| Issue |
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| Month |
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| 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 |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ได้รับการตอบรับให้ตีพิมพ์ |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| ใช้สำหรับสำเร็จการศึกษา |
ไม่เป็น |
| Attach file |
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| Citation |
0
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Journal Publication
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