A variational method for multiple-image blending

Wei Wang*, Kwok Po NG

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

31 Citations (Scopus)


The main aim of this paper is to develop an algorithm for blending of multiple images in the image-stitching process. Our idea is to propose a variational method containing an energy functional to determine both a stitched image and weighting mask functions of multiple input images for image blending. The existence of the solution of the proposed energy functional is shown. We also present an alternative minimizing algorithm to solve the proposed model numerically and show the convergence of this algorithm. Experimental results show that the proposed model works effectively and efficiently and that the proposed method is competitive with the tested existing methods under noisy conditions.

Original languageEnglish
Article number6086620
Pages (from-to)1809-1822
Number of pages14
JournalIEEE Transactions on Image Processing
Issue number4
Publication statusPublished - Apr 2012

Scopus Subject Areas

  • Software
  • Computer Graphics and Computer-Aided Design

User-Defined Keywords

  • Alternating minimization
  • energy functional
  • image blending
  • variational approach
  • weighting mask functions


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