Research on an algorithm of shape motion deblurring

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to the feature of fuzzy and the quality reduce background of plate image, this paper presents a Spectrum Estimation Partition Deblur (SEPD) algorithm to restore complex blur image. This algorithm is based on spectrum estimation and extracts the blur kernel information from the dark strips in frequency spectrum, and makes the traditional algorithm better to improve the algorithm’s accuracy and noise capacity. Through the partition recovery strategy, each piece of image is deblurred separately, and then are integrated into a whole image by edge fitting. Through the analysis of actual measurements, the algorithm performs high accuracy and better noise immunity, and also improves the quality of the shape image obviously.

Original languageEnglish
Title of host publicationIntelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings
EditorsVitoantonio Bevilacqua, De-Shuang Huang, Prashan Premaratne
PublisherSpringer Verlag
Pages327-338
Number of pages12
ISBN (Print)9783319221793
DOIs
StatePublished - 2015
Event11th International Conference on Intelligent Computing, ICIC 2015 - Fuzhou, China
Duration: 20 Aug 201523 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9225
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Intelligent Computing, ICIC 2015
Country/TerritoryChina
CityFuzhou
Period20/08/1523/08/15

Keywords

  • Blur kernel
  • Motion blur
  • Motion deblur
  • Plate movement
  • Spectrum estimation

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