A Study on Additive White Gaussian Noise Level Estimation in SVD Domain for Images |
Author(s): |
| Nithin Kumar M , UBDTCE DAVANGERE; Geetha V, UBDTCE DAVANGERE |
Keywords: |
| Additive White Gaussian Noise, Noise Estimation, Singular Value Decomposition (SVD) |
Abstract |
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The precise estimation of Gaussian noise level in vision and image processing applications like Radar, medicine imaging, Biometrics etc are critical to the processing techniques that we follow in conventional algorithms. On the basis of study of singular values of noise corrupted images a new novel algorithm is proposed. The novelty of proposed algorithm is that its addresses major problem in noise estimation. a) The use of the tail of the of singular values for noise for noise estimation to alleviate the influence of the signal on the data basis for the noise estimation process. b) The addition of known noise to estimate the content-dependent parameter, so that the proposed scheme is adaptive to visual signals, thereby enabling a wider application scope of the proposed scheme. |
Other Details |
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Paper ID: IJSRDV3I40211 Published in: Volume : 3, Issue : 4 Publication Date: 01/07/2015 Page(s): 811-816 |
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