International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 164 - Number 9 |
Year of Publication: 2017 |
Authors: Arti Singh, Ram Singar Verma |
10.5120/ijca2017913751 |
Arti Singh, Ram Singar Verma . Survey in Existing Non-Local Means Algorithm for Noise Reduction. International Journal of Computer Applications. 164, 9 ( Apr 2017), 31-34. DOI=10.5120/ijca2017913751
This paper introduced the concept of noise reduction for recovering the original image. Digital images are a very important role in daily life like satellite television, computer etc. Sometimes digital images are faces problem called noise. For this problem, we study non-local means algorithm. In this algorithm uses a self-similarity concept, called "non-local means algorithm”. Image accommodates noise like Gaussian noise, salt & pepper noise, speckle noise, film grain etc. In this paper, only survey on the existing non-local means algorithm for noise reduction which is taken from many devices like camera or other digital gadgets.