arxivst stuff from arxiv that you should probably bookmark

Image Fusion With Cosparse Analysis Operator

Abstract · Apr 18, 2017 09:05 ·

zhao image northeastern focus dept fusion aalto vorobyov ieee cs-cv cs-it math-it

Arxiv Abstract

  • Rui Gao
  • Sergiy A. Vorobyov
  • Hong Zhao

The paper addresses the image fusion problem, where multiple images captured with different focus distances are to be combined into a higher quality all-in-focus image. Most current approaches for image fusion strongly rely on the unrealistic noise-free assumption used during the image acquisition, and then yield limited robustness in fusion processing. In our approach, we formulate the multi-focus image fusion problem in terms of an analysis sparse model, and simultaneously perform the restoration and fusion of multi-focus images. Based on this model, we propose an analysis operator learning, and define a novel fusion function to generate an all-in-focus image. Experimental evaluations confirm the effectiveness of the proposed fusion approach both visually and quantitatively, and show that our approach outperforms state-of-the-art fusion methods.

Read the paper (pdf) »