کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
850945 909294 2013 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
MAP-regularized robust reconstruction for underwater imaging detection
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
MAP-regularized robust reconstruction for underwater imaging detection
چکیده انگلیسی

In order to enhance the visual quality of underwater images, applications such as enhancement and restoration can be applied, but the resolution is still limited. Super-resolution reconstruction is a widely used technique for improving resolution beyond the limit of imaging system. With knowledge of the point spread function and techniques of regularization, the performance of reconstruction can be further enhanced. The presented effort proposed a robust image super-resolution reconstruction method under maximum a posteriori framework with regularization by the point spread function for underwater imaging detection. Objective image quality metrics are used to quantify the effectiveness of the reconstruction. Experimental results showed that the proposed method can effectively improve the resolution and quality of underwater imaging detection.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 124, Issue 20, October 2013, Pages 4514–4518
نویسندگان
, ,