This paper is published in Volume-4, Issue-3, 2018
Area
Engineering
Author
Lalit Kumar
Co-authors
Jyoti, Mithlesh
Org/Univ
Bhagwant Institute of Technology, Muzaffarnagar, Uttar Pradesh, India
Pub. Date
11 May, 2018
Paper ID
V4I3-1176
Publisher
Keywords
PDF, MSE, IEF, Quantization, Pixel, Denοise, PSNR.

Citationsacebook

IEEE
Lalit Kumar, Jyoti, Mithlesh. Nοise removal technique from digital image using advance median filter algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Lalit Kumar, Jyoti, Mithlesh (2018). Nοise removal technique from digital image using advance median filter algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Lalit Kumar, Jyoti, Mithlesh. "Nοise removal technique from digital image using advance median filter algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

Images are often degraded by nοises. From transmission to receiver there are various situations where nοise can be mix with original data. Nοise removal is the crucial and tedious task in image processing. In general, the results of the nοise removal have a strong influence on the quality of the image processing technique. In color image processing there are so many methods for nοise removal but it depends on types of nοise and filters used to remove nοise. The nature of the nοise removal problem depends on the type of the nοise corrupting the image. In the field of image nοise reduction, several linear and non-linear filtering methods have been proposed. In our research paper salt and pepper nοise removed using the advanced median trimmed filter. Nοise level removed from the image having range 10% to 90% and also calculated following parameters PSNR, IEF, and MSE. In our simulation result, we found that as salt and pepper nοise increases the value of PSNR decreases significantly. When a comparative analysis carried out between the base paper and proposed work, values of parameters in proposed work are better and research work significantly improved.
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