A Single Image Deblurring Algorithm for Nonuniform Motion Blur Using Uniform Defocus Map Estimation
المؤلفون المشاركون
Chang, Chia-Feng
Tsai, Ting-Yu
Wu, Jiunn-Lin
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-13
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
One of the most common artifacts in digital photography is motion blur.
When capturing an image under dim light by using a handheld camera, the tendency of the photographer’s hand to shake causes the image to blur.
In response to this problem, image deblurring has become an active topic in computational photography and image processing in recent years.
From the view of signal processing, image deblurring can be reduced to a deconvolution problem if the kernel function of the motion blur is assumed to be shift invariant.
However, the kernel function is not always shift invariant in real cases; for example, in-plane rotation of a camera or a moving object can blur different parts of an image according to different kernel functions.
An image that is degraded by multiple blur kernels is called a nonuniform blur image.
In this paper, we propose a novel single image deblurring algorithm for nonuniform motion blur images that is blurred by moving object.
First, a proposed uniform defocus map method is presented for measurement of the amounts and directions of motion blur.
These blurred regions are then used to estimate point spread functions simultaneously.
Finally, a fast deconvolution algorithm is used to restore the nonuniform blur image.
We expect that the proposed method can achieve satisfactory deblurring of a single nonuniform blur image.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chang, Chia-Feng& Wu, Jiunn-Lin& Tsai, Ting-Yu. 2017. A Single Image Deblurring Algorithm for Nonuniform Motion Blur Using Uniform Defocus Map Estimation. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1191231
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chang, Chia-Feng…[et al.]. A Single Image Deblurring Algorithm for Nonuniform Motion Blur Using Uniform Defocus Map Estimation. Mathematical Problems in Engineering No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1191231
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chang, Chia-Feng& Wu, Jiunn-Lin& Tsai, Ting-Yu. A Single Image Deblurring Algorithm for Nonuniform Motion Blur Using Uniform Defocus Map Estimation. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1191231
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191231
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر