International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 118

Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 10, October 2014


High Density Salt and Pepper Noise Removal Using Adapted Decision Based Unsymmetrical Trimmed Mean Filter Cascaded With Gaussian Filter

Priyanka Priyadarshni [2] | Shivam Sharma [9]


Abstract: An adapted decision based unsymmetrical trimmed mean filter cascaded with Gaussian filter (ADBUTMF) algorithm for the retrieval of gray scaled image which is induced by a very high density Salt and Pepper (impulse) noise is proposed and tested in this paper. The proposed algorithm replaces the noisy pixel by trimmed mean value when other pixel values, 0s and 255s are present in the selected window and when all the pixel values are 0s and 255s then the noise pixel is replaced by mean value of all the elements present in the selected window. This proposed algorithm shows better results than the Standard Median Filter (MF), Decision Based Algorithm (DBA), Modified Decision Based Algorithm (MDBA), Progressive Switched Median Filter (PSMF) and Modified Decision Based Unsymmetrical Trimmed Median Filter (MDBUTMF). The proposed algorithm is tested against different grayscale and color images and it gives better Peak Signal-to-Noise Ratio (PSNR).


Keywords: Mean Filter, Salt and Pepper Noise, Unsymmetrical Trimmed Mean Filter, Cascaded Filter


Edition: Volume 3 Issue 10, October 2014,


Pages: 142 - 146

High Density Salt and Pepper Noise Removal Using Adapted Decision Based Unsymmetrical Trimmed Mean Filter Cascaded With Gaussian Filter


How to Cite this Article?

Priyanka Priyadarshni, Shivam Sharma, "High Density Salt and Pepper Noise Removal Using Adapted Decision Based Unsymmetrical Trimmed Mean Filter Cascaded With Gaussian Filter", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=OCT14164, Volume 3 Issue 10, October 2014, 142 - 146, #ijsrnet

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