Earticle

초록

영어

In order to decrease the smoothing effect of traditional linear interpolation methods and avoid the complexity of edge-directed adaptive algorithms, a novel image interpolation algorithm based on the directional extension of linear interpolation kernel is proposed. At first, All Phase Non-subsampled Contourlet Transform is used to divide the image of low resolution into different frequencies and directional sub-band images, and then the All Phase Discrete Cosine Transform Interpolation Kernel is extended to 2-D with distinct directional priorities and used to enlarge respective sub-band images. The interpolated sub-band images are finally synthesized as the upsampled image. Simulation results demonstrate that the proposed algorithm improves both the subjective and objective quality of the interpolated images over conventional linear interpolation. The computation complexity of the proposed algorithm is moderate and it can be implemented with parallel structure so as to save more computation time.

목차

Abstract
 1. Introduction
 2. Directional Extension of the APDCT Interpolation Kernel
  2.1 The 1-D APDCT Interpolation Kernel
  2.2 Directional Extension of the APDCT Interpolation Kernel
 3. General Structure of the Proposed Algorithm
 4. APNSCT
  4.1 Basic Structure of APNSCT
  4.2 Design of APDCT Filters
  4.3 APDFB
 5. Simulation Results
 6. Concluding Remarks
 Acknowledgements
 References

키워드

저자

• Zhonglin Ding [ School of Computer Science & Information Engineering, Tianjin University of Science & Technology, Tianjin, China ]
• Li Li [ School of Electronic Engineering, Tianjin University of Technology and Education, Tianjin, China ]

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