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Title |
Salt and Pepper Noise Detection and removal by Tolerance based Selective Arithmetic Mean Filtering Technique for image restoration |
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Author |
Shahriar Kaisar, Md.Sakib Rijwan, Jubayer Al Mahmud, Muhammad Mizanur Rahman |
| Citation |
Vol. 8 No. 6 pp. 271-278 |
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Abstract |
Removal of noises from the images is a critical issue in the field of digital image processing. This paper proposes a Tolerance based Arithmetic Mean Filtering Technique to remove salt and pepper noise from corrupted images. Arithmetic Mean filtering technique is modified by the introduction of two additional features. In the first phase, to calculate the Arithmetic Mean, only the unaffected pixels are considered. In the second phase, a Tolerance value has been used for the replacement of the pixels. This proposed technique provides much better results than that of the existing mean and median filtering techniques. The Peak Signal to Noise Ratio (PSNR) of the filtered image using the proposed technique is much higher than that of the filtered images obtained by the existing mean filtering techniques. |
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Keywords |
Tolerance Value, Tolerance Based Selective Arithmetic Mean Filtering Technique (TSAMFT), Peak Signal to Noise Ratio (PSNR), Arithmetic Mean Filtering (AMF), Mean Square Error (MSE) |
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