Energy-Driven Image Interpolation Using Gaussian Process Regression

المؤلفون المشاركون

Zi, Lingling
Du, Junping

المصدر

Journal of Applied Mathematics

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-05-10

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

الرياضيات

الملخص EN

Image interpolation, as a method of obtaining a high-resolution image from the corresponding low-resolution image, is a classical problem in image processing.

In this paper, we propose a novel energy-driven interpolation algorithm employing Gaussian process regression.

In our algorithm, each interpolated pixel is predicted by a combination of two information sources: first is a statistical model adopted to mine underlying information, and second is an energy computation technique used to acquire information on pixel properties.

We further demonstrate that our algorithm can not only achieve image interpolation, but also reduce noise in the original image.

Our experiments show that the proposed algorithm can achieve encouraging performance in terms of image visualization and quantitative measures.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zi, Lingling& Du, Junping. 2012. Energy-Driven Image Interpolation Using Gaussian Process Regression. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-993258

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zi, Lingling& Du, Junping. Energy-Driven Image Interpolation Using Gaussian Process Regression. Journal of Applied Mathematics No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-993258

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zi, Lingling& Du, Junping. Energy-Driven Image Interpolation Using Gaussian Process Regression. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-993258

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-993258