An Image Denoising Algorithm based on Tensor Voting
Wenming Huang · Communications technology · 2011
For the redundant tensor voting superposition comptutation existing in the traditional tensor voting of symmetrical image denoising,an improved algorithm of tensor voting field is proposed.First,based on phase information,the symmetry property of the image is detected.Then the voting field is simplified according to the detected result.Finally this simplified tensor voting field is employed in the process of image denoising.The simulation result shows that the proposed method could efficiently reduce the image noise,improve the PSNR,and preserves the critical details of the image.