Comparative Analysis of Image Denoising Techniques

Abstract

A noise gives an image a generally undesirable appearance, the most significant factor is that noise can cover and reduce the visibility of certain features with in the image. Now, a days use of image is becoming popular as it is used in various applications like medical, education, military etc. Introduction of various noises (Salt & Pepper noise, Gaussian noise, mixed noise etc.) in image can be from various factors like during transmission or any other mode. In this paper we compare about various denoising techniques to remove impulse noise from images and their features. Comparison is done on the basis of Peak Signal to Noise Ratio (PSNR) value.

Authors and Affiliations

Shipra Sood, Parul Malhotra

Keywords

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  • EP ID EP24709
  • DOI -
  • Views 392
  • Downloads 12

How To Cite

Shipra Sood, Parul Malhotra (2017). Comparative Analysis of Image Denoising Techniques. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(6), -. https://europub.co.uk/articles/-A-24709