کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4969659 1449982 2017 44 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Variational method for joint optical flow estimation and edge-aware image restoration
ترجمه فارسی عنوان
روش متغیر برای برآورد جریان نوری مشترک و ترمیم تصویر لبه
کلمات کلیدی
جریان نوری، بازسازی پس زمینه تصویر، حفظ لبه، حل کننده عددی کارآمد،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
The most popular optical flow algorithms rely on optimizing the energy function that integrates a data term and a smoothness term. In contrast to this traditional framework, we derive a new objective function that couples optical flow estimation and image restoration. Our method is inspired by the recent successes of edge-aware constraints (EAC) in preserving edges in general gradient domain image filtering. By incorporating an EAC image fidelity term (IFT) in the conventional variational model, the new energy function can simultaneously estimate optical flow and restore images with preserved edges, in a bidirectional manner. For the energy minimization, we rewrite the EAC into gradient form and optimize the IFT with Euler-Lagrange equations. We can thus apply the image restoration by analytically solving a system of linear equations. Our EAC-combined IFT is easy to implement and can be seamlessly integrated into various optical flow functions suggested in literature. Extensive experiments on public optical flow benchmarks demonstrate that our method outperforms the current state-of-the-art in optical flow estimation and image restoration.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 65, May 2017, Pages 11-25
نویسندگان
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