Super-resolution reconstruction using wavelet transform

Toshio Ito, Hiroki Kobayashi, Taiki Sekii, Takenao Ohkawa

研究成果: Conference contribution

抄録

Because of a deterioration in resolution, the distant parts of images taken by acamera are of an inferior quality. Super-resolution is one of the effective methods to improvethe quality of low resolution images. In super-resolution, a high resolution-image is generatedfrom multiple low resolution images by image processing such as inverse discrete wavelettransformation. Inverse discrete wavelet transform can expand the image by doubling theresolution. Super-resolution by inverse discrete wavelet transform needs three different highfrequency components in the image to be improved. For accurate expansion by inversediscrete wavelet transform, these high frequency components must be accurate. However, it isdifficult to estimate these components because of the sensitivity of the transform toward themargin of error. This is why there are few methods for improving images by using wavelettransform. Therefore, we have tried to reduce this domain to estimate. Estimation of highfrequency components becomes easy, if we can improve low resolution images after thedomain has been reduced. In this paper, we have tried to limit the domain of these highfrequency components.

本文言語English
ホスト出版物のタイトル15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
ページ5817-5828
ページ数12
出版ステータスPublished - 2008 12 1
外部発表はい
イベント15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008 - New York, NY, United States
継続期間: 2008 11 162008 11 20

出版物シリーズ

名前15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
8

Conference

Conference15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008
CountryUnited States
CityNew York, NY
Period08/11/1608/11/20

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Transportation
  • Automotive Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Science Applications

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