کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8050968 | 1519371 | 2018 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A framelet algorithm for de-blurring images corrupted by multiplicative noise
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A framelet algorithm for de-blurring images corrupted by multiplicative noise A framelet algorithm for de-blurring images corrupted by multiplicative noise](/preview/png/8050968.png)
چکیده انگلیسی
This paper considers a variational model for restoring images from blurry and speckled observations. This model utilizes the favorable properties of framelet regularization (e.g., the sparsity and multiresolution properties of the framelet) that are well suited for speckle noise reduction. For solving the model, we first propose an approximation model that is motivated by the well-known variable-splitting and penalty techniques in optimization. We then develop an alternating minimization algorithm to solve the approximation model. We also show that the sequence generated by the algorithm converges to the solution of the proposed model. The numerical results on simulated data and real utrasound images demonstrate that our approach outperforms several state-of-the-art algorithms.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 62, October 2018, Pages 51-61
Journal: Applied Mathematical Modelling - Volume 62, October 2018, Pages 51-61
نویسندگان
Jian Lu, Zeping Yang, Lixin Shen, Zhaosong Lu, Hanmei Yang, Chen Xu,