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Combined Shearlet Shrinkage and Total Variation Minimization for Image Denoising | ||
| Iranian Journal of Science | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 11 اردیبهشت 1395 | ||
| نوع مقاله: Regular Paper | ||
| شناسه دیجیتال (DOI): 10.22099/ijsts.2016.3677 | ||
| نویسندگان | ||
| Mehrdad Lakestani* 1؛ Mohsen Razzaghi2؛ Zohre Mousavi3 | ||
| 1Department of Applied Mathematics, Faculty of Mathematical Sciences University of Tabriz | ||
| 2Mississippi State University | ||
| 3Isfahan University of Technology | ||
| چکیده | ||
| In this paper, a TV-based shearlet shrinkage is proposed for discontinuity-preserving denoising using a combination of shearlet with a total variation scheme. For TV denoising numerical procedure, we use two approaches. In the first approach, we apply semi-implicit method for total variation. In order to solve Euler-Lagrange equation associated with total variation, we use Additive Operator Splitting (AOS) scheme. This approach has good effect on suppressing the pseudo-Gibbs and shearlet-like artifacts and is very efficient for reducing iterations. In the second approach, we use Split Bregman iteration method. This techniques converges very quickly and in combine by shearlet shrinkage produce good results. | ||
| کلیدواژهها | ||
| shearlet؛ total variation؛ additive operator splitting؛ Image processing؛ Image denoising | ||
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