Earticle

초록

영어

In this paper, we propose an image interpolation algorithm based on the characteristics of the Human Visual System (HVS). Firstly, the saliency map is extracted for the input image by the feature contrast. Based on the saliency detection algorithm, the input image can be divided into salient regions and non-salient regions. A non-local means based interpolation and the bicubic interpolation operations are adopted to implement the image interpolation for salient and non-salient regions in visual scenes, respectively. Experimental results show that the proposed method improves the perceptual quality of the salient regions during image interpolation. The PSNR and SSIM results demonstrate that the proposed method can obtain better performance than existing related image interpolation methods.

목차

Abstract
 1. Introduction
 2. The Proposed Method
  2.1. Saliency Detection Model
  2.2. Bicubic Interpolation
  2.3. Non-local Means Interpolation
 3. Experimental Results
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Lei Shu [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China 330032 ]
• Yuming Fang [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China 330032 ]
• Zhijun Fang [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China 330032 ]
• Yong Yang [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China 330032 ]
• Feiniu Yuan [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China 330032 ]
• Fengchang Fei [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China 330032 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605