A Novel Enhanced Image Denoising Algorithm Combining DWT and Curvelet Techniques with Image Fusion
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Image denoising is a well-studied subject and used in a variety of applications from surveillance, satellite imagery to forensic sciences. This algorithm is aimed to achieve further knowledge and information to the subject. Also, our proposed algorithm could help in research of other denoising techniques to get a near-perfect visually pleasing image. The aim is to design a new algorithm for denoising images affected with Gaussian noise, using wavelet transform and image fusion techniques. We also try to achieve a good quality visually pleasing image and comparatively high PSNR performance metric with respect to existing denoised images.
Authors and Affiliations
Nishant Nigam, Simran Kalera, Saurabh Rajani
Keywords
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