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International Journal of Scientific and Research Publications

IJSRP, Volume 5, Issue 4, April 2015 Edition [ISSN 2250-3153]


Impulse and Gaussian Noise Removal Using Adapted Decision Based Unsymmetrical Trimmed Mean Filter cascaded with New Gaussian Filter
      Chetan Kumar, Neeraj Sharma
Abstract: An adjusted choice based unsymmetrical trimmed mean channel fell with Gaussian filter (ADBUTMF) calculation for the recovery of light black scaled picture which is instigated by a high thickness Salt and Pepper (drive) clamor is proposed and tried in this paper. The proposed calculation replaces the loud pixel by trimmed mean quality when other pixel values, 0's and 255's are introduce in the chose window and when all the pixel qualities are 0's and 255's then the commotion pixel is supplanted by mean estimation of every last one of components present in the chose window. This proposed calculation shows preferred results over 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 calculation is tried against distinctive grayscale and color pictures and it gives better Peak Signal-to-Noise Ratio (PSNR).

Reference this Research Paper (copy & paste below code):

Chetan Kumar, Neeraj Sharma (2018); Impulse and Gaussian Noise Removal Using Adapted Decision Based Unsymmetrical Trimmed Mean Filter cascaded with New Gaussian Filter; Int J Sci Res Publ 5(4) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0415.php?rp=P403966
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