Image inpainting and image denoising in wavelet domain using fast curve evolution algorithm

Image denoising refers to removal of noise from an image and the problem of filling the missing coefficients in an image is known as inpainting. In traditional system, the damaged image is used to restore the missing coefficients by pixel domain. The total variation (TV) minimization wavelet models...

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Bibliographic Details
Main Authors: Dhiyanesh, B., Sathiyapriya, K. S.
Format: Conference Proceeding
Language:English
Subjects:
Contours
Denoising
Evolution and Segmentation
Image edge detection
Image reconstruction
Image resolution
Indexes
Mathematical model
Numerical models
Total Variation Minimization
Variation
Wavelet
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Summary:Image denoising refers to removal of noise from an image and the problem of filling the missing coefficients in an image is known as inpainting. In traditional system, the damaged image is used to restore the missing coefficients by pixel domain. The total variation (TV) minimization wavelet models is used for the problem of missing or damaged wavelet coefficients due to lossy image transmission or communication and show TV minimization is convergent. In this paper, active contour/snake model is one of the most successful variation models in image segmentation. It consists of evolving a contour in image toward the boundary of objects. Its success is based on strong mathematical properties and efficient numerical schemes based on the level set method.
DOI:10.1109/ICACCCT.2012.6320763