Use of bilateral filters for super-resolution of single image with iterations for minimizing reconstruction errors

Jian Chang, Inoue Kohei, Urahama Kiichi

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The use of a nonlinear filter for super-resolution of a single image is presented. A nonlinear iterative solution procedure is derived from an approximate Newton method for minimizing errors in low-resolution images reconstructed from estimated high-resolution images. We use the bilateral filter for image smoothing in the reconstruction steps. Our method was shown to produce high-resolution images without halos around edges and with enhanced fine textures.

Original languageEnglish
Pages (from-to)1888-1891
Number of pages4
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume63
Issue number12
DOIs
Publication statusPublished - Dec 1 2009

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Image resolution
Newton-Raphson method
Textures

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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