Restoration and Zoom of Irregularly Sampled, Blurred, and Noisy Images by Accurate Total Variation Minimization with Local Constraints
نویسندگان
چکیده
We propose an algorithm to solve a problem in image restoration which considers several different aspects of it, namely: irregular sampling, denoising, deconvolution, and zooming. Our algorithm is based on an extension of a previous image denoising algorithm proposed by A. Chambolle using total variation, combined with irregular to regular sampling algorithms proposed by H.G. Feichtinger, K. Gröchenig, M. Rauth and T. Strohmer. Finally we present some experimental results and we compare them with those obtained with the algorithm proposed by K. Gröchenig et al.
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ورودعنوان ژورنال:
- Multiscale Modeling & Simulation
دوره 5 شماره
صفحات -
تاریخ انتشار 2006