Fast pixel-size-based large-scale enlargement and reduction of image: Adaptive combination of bilinear interpolation and discrete cosine transform

Shu Mei Guo, Chih Yuan Hsu, Guo Ching Shih, Chia Wei Chen

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A fast pixel-size-based very large-scale enlargement and reduction of image via an adaptive combination of bilinear interpolation and discrete cosine transform (DCT) is proposed to improve the quality and speed of the image zooming process. The proposed algorithm combined with DCT and bilinear interpolation is proposed to adaptively process different blocks of an image with different characteristics for a very large-scale image enlargement and reduction. Moreover, if quality is the main concern factor, the evolutionary programming is applied to further improve the quality of reduction algorithm of an image by tuning the frequency coefficient matrix of the reduced image. Finally, for dealing with arbitrary pixel-size-based zooming of an image, a new algorithm is also proposed.

Original languageEnglish
Article number033005
JournalJournal of Electronic Imaging
Volume20
Issue number3
DOIs
Publication statusPublished - 2011 Jul 1

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

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