کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6938225 | 1449923 | 2018 | 28 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Super-resolution image reconstruction using surface fitting with hierarchical structure
ترجمه فارسی عنوان
بازسازی تصویر با وضوح فوق العاده با استفاده از سطح با ساختار سلسله مراتبی
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
We propose a super-resolution image reconstruction method using multi-source low resolution images. The proposed method includes a hierarchical structure that combines a neighborhood expansion process with the surface fitting technique. In the proposed method, a series of nested neighborhoods are created to collect LR pixels, and a purification algorithm is put forward to remove the outliers. Then we fit with a surface in each neighborhood to obtain a value at the location of estimated high resolution grid site. These values are pooled to a MAP frame to reconstruct high resolution pixels. Therefore, a reconstructed pixel is associated with the pixel correlation, pixel intensity and the spatial structure. Moreover, our method is non-iterative and does not suffer from convergence problem. Comparing with the state-of-the-art schemes, the proposed method provides superior effect and computational efficiency. Experimental results demonstrate the superiority of the proposed method in both visual fidelity and numerical measures.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 53, May 2018, Pages 65-75
Journal: Journal of Visual Communication and Image Representation - Volume 53, May 2018, Pages 65-75
نویسندگان
Xiaofeng Wang, Didong Zhou, Nengliang Zeng, Xina Yu, Shaolin Hu,