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

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