TY - GEN
T1 - Pixel saliency metric based pixel-level medical image fusion
AU - Tan, Hang
AU - Huang, Xianhe
AU - Tan, Hua Chun
PY - 2011
Y1 - 2011
N2 - This paper proposes a novel medical image fusion algorithm based on pixel salience metric in gradient domain. We first obtain the gradient image of every input image and measure their salience map, and then use saliency to weight gradient pixel to acquire a target gradient field. Applying dynamic range compression (DRC) algorithm to reduce halo effect. Finally, exploiting successive over-relaxation method to solve a Poisson equation for minimizing the energy function. Experimental result shows that the proposed method is the best in the concept of saliency compared to the existing pixel-level image fusion methods.
AB - This paper proposes a novel medical image fusion algorithm based on pixel salience metric in gradient domain. We first obtain the gradient image of every input image and measure their salience map, and then use saliency to weight gradient pixel to acquire a target gradient field. Applying dynamic range compression (DRC) algorithm to reduce halo effect. Finally, exploiting successive over-relaxation method to solve a Poisson equation for minimizing the energy function. Experimental result shows that the proposed method is the best in the concept of saliency compared to the existing pixel-level image fusion methods.
UR - http://www.scopus.com/inward/record.url?scp=84055193901&partnerID=8YFLogxK
U2 - 10.1109/ICCPS.2011.6092265
DO - 10.1109/ICCPS.2011.6092265
M3 - Conference contribution
AN - SCOPUS:84055193901
SN - 9781457706035
T3 - 2011 International Conference on Computational Problem-Solving, ICCP 2011
SP - 37
EP - 40
BT - 2011 International Conference on Computational Problem-Solving, ICCP 2011
T2 - 2011 International Conference on Computational Problem-Solving, ICCP 2011
Y2 - 21 October 2011 through 23 October 2011
ER -