A New Spatial Domain Filter for Impulse Noise Removal with Improved Accuracy Based on Multiple Conditions
Prudhvi Raj Budumuru1, Madhusudan Donga2, Asha Korada3

1Prudhvi Raj Budumuru*, Assistant Professor, Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India.
2Madhusudan Donga, Assistant Professor, Vignan’s Institute of Information Technology, Vishakhapatnam, Andhra Pradesh, India.
3Asha Korada, Associate Professor, Bhimavaram Institute of Engineering and Technology, Bhimavaram, Andhra Pradesh, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on April 10, 2020. | PP: 1305-1309 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4027049620/2020©BEIESP | DOI: 10.35940/ijitee.F4027.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Numerous filtering methods are proposed for Impulse noise removal, it is an important task in the field of image restoration. The familiar spatial domain algorithm to remove impulse noise is Standard Median Filter (SMF). Most of the existing algorithms are based on median filtering and recent algorithms are Modified Hybrid Median Filter (MHMF) and New Modified Hybrid Median Filter (NMHMF). These two are worked up to 20% noise density. In this paper proposed a new` algorithm for impulse noise removal above 20% noise density conditions with different samples of images. The implementation of proposed method compares with known existing methods by comparing Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).
Keywords:  Impulse Noise, SMF, MHMF, NMHMF, MSE, PSNR.
Scope of the Article: Microwave filter