Removal of image defocus and motion blur effects with a nonlinear interpolative vector quantizer

David G. Sheppard, Kannan Panchapakesan, Ali Bilgin, Bobby R. Hunt, Michael W. Marcellin

Research output: Contribution to conferencePaper

5 Scopus citations

Abstract

In this paper, results are presented which demonstrate removal of image defocus and motion blur effects using an algorithm based on nonlinear interpolative vector quantization (NLIVQ). The algorithm is trained on original and diffraction-limited image pairs which are representative of the class of images of interest. The discrete cosine transform is used in the codebook design process to control complexity. Imagery processed with this algorithm demonstrate both qualitative and quantitative improvements (as measured by the peak signal-to-noise-ratio before and after processing).

Original languageEnglish (US)
Pages1-5
Number of pages5
StatePublished - Dec 1 1998
EventProceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation - Tucson, AZ, USA
Duration: Apr 5 1998Apr 7 1998

Other

OtherProceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation
CityTucson, AZ, USA
Period4/5/984/7/98

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Removal of image defocus and motion blur effects with a nonlinear interpolative vector quantizer'. Together they form a unique fingerprint.

  • Cite this

    Sheppard, D. G., Panchapakesan, K., Bilgin, A., Hunt, B. R., & Marcellin, M. W. (1998). Removal of image defocus and motion blur effects with a nonlinear interpolative vector quantizer. 1-5. Paper presented at Proceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation, Tucson, AZ, USA, .