Title :
A Variational Method for Multiple-Image Blending
Author :
Wang, Wei ; Ng, Michael K.
Author_Institution :
Dept. of Math., Tongji Univ., Shanghai, China
fDate :
4/1/2012 12:00:00 AM
Abstract :
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.
Keywords :
image processing; minimisation; numerical analysis; alternative minimization algorithm; convergence; image-stitching process; multiple-image blending; weighting mask functions; Cameras; Equations; Image color analysis; Minimization; Numerical models; Optimization; Alternating minimization; energy functional; image blending; variational approach; weighting mask functions; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2011.2176952