Earticle

초록

영어

In this paper, a new wavelet based image interpolation algorithm using pixel-by-pixel (PBP) cubic image interpolation and hybrid filter is proposed for images which include many mid and high frequency elements. There is much important information in frequency bands. Because conventional interpolation techniques have blurring or blocking effects, the quality of interpolated remote sensing images is not good over that of standard test images. The proposed interpolation technique uses PBP, DWT and hybrid filter to address these problems preserving thin lines and edges information. Simulation result shows that the proposed technique outperforms the conventional techniques in terms of PSNR.

목차

Abstract
 1. Introduction
 2. Proposed Image Interpolation
  2.1. Proposed Algorithm
  2.2. Characteristic of Remote Sensing Images
  2.3. Space Varying PBP Cubic Image Interpolation
  2.4. 2D Discrete Wavelet Transform
  2.5. Hybrid Filtering
 3. Experimental Results
 4. Conclusions
 References

키워드

저자

• Su Young Han [ Dept. of Computer Science, Anyang University, Incheon, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605