کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8146651 1524110 2016 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An infrared image super-resolution reconstruction method based on compressive sensing
ترجمه فارسی عنوان
یک روش بازسازی فوق العاده تصویر مادون قرمز بر اساس حساسیت فشاری
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک اتمی و مولکولی و اپتیک
چکیده انگلیسی
Limited by the properties of infrared detector and camera lens, infrared images are often detail missing and indistinct in vision. The spatial resolution needs to be improved to satisfy the requirements of practical application. Based on compressive sensing (CS) theory, this thesis presents a single image super-resolution reconstruction (SRR) method. With synthetically adopting image degradation model, difference operation-based sparse transformation method and orthogonal matching pursuit (OMP) algorithm, the image SRR problem is transformed into a sparse signal reconstruction issue in CS theory. In our work, the sparse transformation matrix is obtained through difference operation to image, and, the measurement matrix is achieved analytically from the imaging principle of infrared camera. Therefore, the time consumption can be decreased compared with the redundant dictionary obtained by sample training such as K-SVD. The experimental results show that our method can achieve favorable performance and good stability with low algorithm complexity.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 76, May 2016, Pages 735-739
نویسندگان
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