Image Denoising Techniques- A Review Paper
Kanika Gupta1, S.K Gupta2

1Kanika Gupta, Department of Information Technology, Kanika Gupta, ABES Engineering College, UPTU, (Uttar Pradesh), India.
2Dr. S.K. Gupta, Department of Computer Science, BIET Jhansi, UPTU, (Uttar Pradesh), India.
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 6-9 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0476032413/13©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Removal of noise from the original signal is still a bottleneck for researchers. There are several methods and techniques published and 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: Denoising, Spatial Filters, Threshold, Orthogonal Transforms.

Scope of the Article: Image Security