Directional high-pass filter for blurry image analysis

Xiaogang Chen, Jie Yang, Qiang Wu, Jiajia Zhao, Xiangjian He

Research output: Journal PublicationArticlepeer-review

23 Citations (Scopus)


High-frequency energy distributions are important characteristics of blurry images. In this paper, directional high-pass filters are proposed to analyze blurry images. Firstly, we show that the proposed directional high-pass filters can effectively estimate the motion direction of motion blurred images. A closed-form solution for motion direction estimation is derived. It achieves a higher estimation accuracy and is also faster than previous methods. Secondly, the paper suggests two important applications of the directional high-frequency energy analysis. It can be employed to identify out-of-focus blur and motion blur, and to detect motion blurred regions in observed images. Experiments on both synthetic and real blurred images are conducted. Encouraging results demonstrate the efficacy of the proposed methods.

Original languageEnglish
Pages (from-to)760-771
Number of pages12
JournalSignal Processing: Image Communication
Issue number7
Publication statusPublished - Aug 2012
Externally publishedYes


  • Image frequency analysis
  • Image motion blur
  • Image restoration
  • Out-of-focus blur

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


Dive into the research topics of 'Directional high-pass filter for blurry image analysis'. Together they form a unique fingerprint.

Cite this