Comparative Analysis of Various Image Denoising Techniques: A Review Paper
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 121 | Views: 371

Review Papers | Electronics & Communication Engineering | India | Volume 3 Issue 7, July 2014 | Popularity: 6.4 / 10


     

Comparative Analysis of Various Image Denoising Techniques: A Review Paper

Manoj Gabhel, Aashish Hiradhar


Abstract: Removal of noise from the original signal is still a challenging issue for researchers. Image denoising is a applicable issue found in diverse image processing and computer vision problems. The important property of a good image denoising model is that it should completely remove noise as far as possible as well as preserve edges. There are various existing methods to denoise image. Each method has its own advantages, disadvantages and assumptions. This paper presents a review of some significant work in the field of Image Denoising. The brief introduction of some popular approaches is provided and discussed. Insights and potential future trends are also discussed


Keywords: Image Denoising, Wavelet transforms, Gaussian noise, Speckle noise, linear filters, Thresholding


Edition: Volume 3 Issue 7, July 2014


Pages: 1877 - 1881



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Manoj Gabhel, Aashish Hiradhar, "Comparative Analysis of Various Image Denoising Techniques: A Review Paper", International Journal of Science and Research (IJSR), Volume 3 Issue 7, July 2014, pp. 1877-1881, https://www.ijsr.net/getabstract.php?paperid=201522, DOI: https://www.doi.org/10.21275/201522

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