Designing a composite dictionary adaptively from joint examples

Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas Huang

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

Abstract

We study the complementary behaviors of external and internal examples in image restoration, and are motivated to formulate a composite dictionary design framework. The composite dictionary consists of the global part learned from external examples, and the sample-specific part learned from internal examples. The dictionary atoms in both parts are further adaptively weighted to emphasize their model statistics. Experiments demonstrate that the joint utilization of external and internal examples leads to substantial improvements, with successful applications in image denoising and super resolution.

Original languageEnglish (US)
Title of host publication2015 Visual Communications and Image Processing, VCIP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467373142
DOIs
StatePublished - Apr 21 2016
Externally publishedYes
EventVisual Communications and Image Processing, VCIP 2015 - Singapore, Singapore
Duration: Dec 13 2015Dec 16 2015

Publication series

Name2015 Visual Communications and Image Processing, VCIP 2015

Conference

ConferenceVisual Communications and Image Processing, VCIP 2015
Country/TerritorySingapore
CitySingapore
Period12/13/1512/16/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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