Image De-Noising using K-SVD and Guided Filtering |
Author(s): |
| M. Santhanaraj , KPR Institute of Engineering and Technology; J. Vignesh, KPR Institute of Engineering and Technology; V. Santhoshkumar, KPR Institute of Engineering and Technology; M. Satheesh Kumar, KPR Institute of Engineering and Technology |
Keywords: |
| Image De-Noising, Image Restoration and Reconstruction, K-SVD Denoising, Guided Filter |
Abstract |
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Image denoising is an important research area in the field of image processing and computer vision. It finds its application in various areas such as image restoration, object recognition, image classification and medical imaging. The challenge of any denoising algorithm is to reconstruct the original image by suppressing unwanted noise from a corrupted image. The goal of image de-noising is to remove noise, while preserving the useful information. The technologies for acquiring digital medicl images continue to improve resulting in image of higher and higher resolution and quality, removing noise in these digital images remains one of the major challenges in the subtle feauters in the images many proposed de-noising techniques have their own problems. |
Other Details |
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Paper ID: IJSRDV6I20633 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 800-802 |
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