A Comparative of Analysis of Image Restoration Using Mean and Median Filtering

Abstract

Image restoration is an important area to better the quality of an image, that attempts to recreate or remodel an image from noise. Image noise is a variation of brightness or unwanted signals and it used to destroy most of the part of image. Image destroyed by various type of noise such as Gaussion noise, Salt and Pepper noise, Poisson noise, etc., Several techniques are used to remove the noise and modifying or restore an image without resolution loss. In image restoration the operation implemented with filtering include smoothing, sharpening, edge detection. This paper is concentrated for analyzing the denoising of salt and pepper noise using filtering techniques.

Authors and Affiliations

G. Baby Joice, K. Maheswari,

Keywords

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  • EP ID EP23120
  • DOI http://doi.org/10.22214/ijraset.2017.2031
  • Views 277
  • Downloads 7

How To Cite

G. Baby Joice, K. Maheswari, (2017). A Comparative of Analysis of Image Restoration Using Mean and Median Filtering. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(2), -. https://europub.co.uk./articles/-A-23120