کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
849374 | 909264 | 2014 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Blind image deconvolution using sparse and redundant representation
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
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چکیده انگلیسی
This work devotes to the image deconvolution problem that restores clear image from its blurred and noisy measurements with little prior about the blur. A deconvolution method based on sparse and redundant representation theory is developed in this paper. It firstly represents the blur and image over different redundant dictionaries and imposes sparsity constraint to their representation coefficients respectively, then alternately estimates them using an iterative algorithm employing optimization technique. Experimental results on astronomical images show that the proposed method can achieve as good performance as the method requiring a known blur, which demonstrates its effectiveness.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 125, Issue 23, December 2014, Pages 6942–6945
Journal: Optik - International Journal for Light and Electron Optics - Volume 125, Issue 23, December 2014, Pages 6942–6945
نویسندگان
Long Ma, Rongzhi Zhang, Zhiguo Qu, Fangyun Lu, Rong Xu,