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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 4 — Feb. 25, 2013
  • pp: 5182–5197

Regional multifocus image fusion using sparse representation

Long Chen, Jinbo Li, and C. L. Philip Chen  »View Author Affiliations

Optics Express, Vol. 21, Issue 4, pp. 5182-5197 (2013)

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Due to the nature of involved optics, the depth of field in imaging systems is usually constricted in the field of view. As a result, we get the image with only parts of the scene in focus. To extend the depth of field, fusing the images at different focus levels is a promising approach. This paper proposes a novel multifocus image fusion approach based on clarity enhanced image segmentation and regional sparse representation. On the one hand, using clarity enhanced image that contains both intensity and clarity information, the proposed method decreases the risk of partitioning the in-focus and out-of-focus pixels in the same region. On the other hand, due to the regional selection of sparse coefficients, the proposed method strengthens its robustness to the distortions and misplacement usually resulting from pixel based coefficients selection. In short, the proposed method combines the merits of regional image fusion and sparse representation based image fusion. The experimental results demonstrate that the proposed method outperforms six recently proposed multifocus image fusion methods.

© 2013 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(350.2660) Other areas of optics : Fusion
(100.4994) Image processing : Pattern recognition, image transforms

ToC Category:
Image Processing

Original Manuscript: December 17, 2012
Revised Manuscript: January 21, 2013
Manuscript Accepted: February 10, 2013
Published: February 22, 2013

Virtual Issues
Vol. 8, Iss. 3 Virtual Journal for Biomedical Optics

Long Chen, Jinbo Li, and C. L. Philip Chen, "Regional multifocus image fusion using sparse representation," Opt. Express 21, 5182-5197 (2013)

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