کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6952020 1451732 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Face hallucination based on two-dimensional joint learning
ترجمه فارسی عنوان
توهم چهره بر اساس یادگیری مشترک دو بعدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
In this paper, a face hallucination method based on two-dimensional joint learning is presented. Unlike the existing works on face super-resolution algorithms that first reshape the image or image patch into 1D vector, in our study the spatial construction of the high resolution (HR) and the low resolution (LR) face image are efficiently maintained in the reconstruction procedure. Enlightened by the 1D joint learning approach for image super-resolution, we propose a 2D joint learning algorithm to map the original 2D LR and HR image patch spaces onto a unified feature subspace. Subsequently, the neighbor-embedding (NE) based super-resolution algorithm can be conducted on the unified feature subspace to estimate the reconstruction weights. With these weights, the initial HR facial image can be generated. To refine further the initial HR estimate, the global reconstruction constraint is exploited to improve the quality of reconstruction result. Experiments on the face databases and real-world face images demonstrate the effectiveness of the proposed algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 48, January 2016, Pages 310-321
نویسندگان
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