Super-resolution techniques for image sequence enlargement

I. Min Huang, Chwin Min Weng, Cheng Hsien Lin, Yung Nien Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Conventional image interpolation is mostly performed on a single image frame, thus the image quality is greatly constrained when it is applied to enlarge a sequence of images. Super-resolution enlargement algorithm was then proposed to utilize multiple frames as the additional information to estimate the enlarged image sequence. In this paper, a complete system based on super-resolution enlargement algorithm is proposed for image sequence enlargement. This system consists of three major steps, the hierarchical block matching together with partial distortion elimination, the multilevel magnification by iterative resolution enhancement, and the robust point matching to register the center image with the still image. The proposed method achieves better magnification quality than the traditional one. Besides, it is also faster in computation. The registration by robust point-matching algorithm is also successful in combing the still image for obtaining even better magnification results.

Original languageEnglish
Title of host publicationSixth IASTED International Conference on Signal and Image Processing
EditorsM.H. Hamza
Pages648-653
Number of pages6
Publication statusPublished - 2004 Dec 27
EventSixth IASTED International Conference on Signal and Image Processing - Honolulu, HI, United States
Duration: 2004 Aug 232004 Aug 25

Publication series

NameSixth IASTED International Conference on Signal and Image Processing

Other

OtherSixth IASTED International Conference on Signal and Image Processing
CountryUnited States
CityHonolulu, HI
Period04-08-2304-08-25

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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