کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
849064 909258 2014 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Structural similarity based single image super-resolution with nonlocal regularization
ترجمه فارسی عنوان
یک تصویر فوق العاده با کیفیت یکپارچه ساختاری با تنظیم غیرموضوح
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
چکیده انگلیسی

Recently, sparse coding based image super-resolution has attracted increasing interests. This paper proposes an improved image super-resolution method, by incorporating structural similarity (SSIM) index and nonlocal regularization into the framework of image super-resolution via sparse coding. Firstly, an algorithm of combining SSIM based sparse coding and K-SVD is proposed to train the high resolution (HR) and low resolution (LR) dictionary pairs. And then, the sparse representations of observed LR image are sought to reconstruct the HR image with the trained LR and HR dictionary pairs by exploiting nonlocal self-similarities. Experimental results demonstrate the effectiveness of the proposed method, both in its visual effects and in quantitative terms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 125, Issue 15, August 2014, Pages 4005–4008
نویسندگان
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