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

Yasutaka Matsuo, Shinya Iwasaki, Yuta Yamamura, Jiro Katto

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2012 IEEE Visual Communications and Image Processing, VCIP 2012
DOI
出版ステータスPublished - 2012 12 1
イベント2012 IEEE Visual Communications and Image Processing, VCIP 2012 - San Diego, CA, United States
継続期間: 2012 11 272012 11 30

出版物シリーズ

名前2012 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

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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