Focus area extraction by blind deconvolution for defining regions of interest

Levente Kovács, Tamás Szirányi

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

We present an automatic focus area estimation method, working with a single image without a priori information about the image, the camera, or the scene. It produces relative focus maps by localized blind deconvolution and a new residual error-based classification. Evaluation and comparison is performed and applicability is shown through image indexing.

Original languageEnglish
Pages (from-to)1080-1085
Number of pages6
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume29
Issue number6
DOIs
Publication statusPublished - Jun 1 2007

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Keywords

  • Feature representation
  • Indexing methods
  • Sharpening and deblurring
  • Transform methods
  • Video retrieval

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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