Wavelet domain image super-resolution from digital cinema to ultrahigh definition television by dividing noise component

Yasutaka Matsuo, Shinya Iwasaki, Yuta Yamamura, Jiro Katto

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

2 Citations (Scopus)

Abstract

We propose a novel wavelet domain image super-resolution method from digital cinema to ultrahigh definition television considering cinema noise component. The proposed method features that spatial resolution of an original image is expanded by synthesis of super-resolved signal and noise components respectively after dividing an original image into signal and noise components. Dividing noise component uses spatio-temporal wavelet decomposition based on frequency spectrum analysis of cinema noise. And super-resolution parameters are optimized by comparing size-reduced super-resolution images with an original image. Experimental results showed that a super-resolution image using the proposed method has a subjectively better appearance and an objectively better peak signal-to-noise ratio measurement than conventional methods.

Original languageEnglish
Title of host publication2012 IEEE Visual Communications and Image Processing, VCIP 2012
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE Visual Communications and Image Processing, VCIP 2012 - San Diego, CA, United States
Duration: 2012 Nov 272012 Nov 30

Publication series

Name2012 IEEE Visual Communications and Image Processing, VCIP 2012

Conference

Conference2012 IEEE Visual Communications and Image Processing, VCIP 2012
CountryUnited States
CitySan Diego, CA
Period12/11/2712/11/30

Keywords

  • digital cinema
  • image super-resolution
  • noise component
  • ultrahigh definition television
  • wavelet

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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    Matsuo, Y., Iwasaki, S., Yamamura, Y., & Katto, J. (2012). Wavelet domain image super-resolution from digital cinema to ultrahigh definition television by dividing noise component. In 2012 IEEE Visual Communications and Image Processing, VCIP 2012 [6410830] (2012 IEEE Visual Communications and Image Processing, VCIP 2012). https://doi.org/10.1109/VCIP.2012.6410830