TY - GEN
T1 - A pixel-level image fusion framework based on structural similarity
AU - Luo, Xiaoyan
AU - Zhang, Jun
AU - Dai, Qionghai
PY - 2009
Y1 - 2009
N2 - This paper introduces a novel pixel-level image fusion framework based on structural similarity (SSIM). SSIM is an image quality assessment metric developed recently through comparing local patterns of pixel intensities from luminance, contrast and structure. In our scheme, the relationship of input images is classified three kinds of cases by contrasting the SSIM value of the original images with two thresholds, a lower limit and an upper limit. Then the fusion rule can be respectively determined as maximum selection, image assimilation, and block selection according to the different relationship. In addition, a image assimilation method is revealed by ascending gradient of SSIM. The proposed scheme is implemented within some different sets of images. Simulation results show that our framework provides promising fusion performance with good perceive.
AB - This paper introduces a novel pixel-level image fusion framework based on structural similarity (SSIM). SSIM is an image quality assessment metric developed recently through comparing local patterns of pixel intensities from luminance, contrast and structure. In our scheme, the relationship of input images is classified three kinds of cases by contrasting the SSIM value of the original images with two thresholds, a lower limit and an upper limit. Then the fusion rule can be respectively determined as maximum selection, image assimilation, and block selection according to the different relationship. In addition, a image assimilation method is revealed by ascending gradient of SSIM. The proposed scheme is implemented within some different sets of images. Simulation results show that our framework provides promising fusion performance with good perceive.
KW - Image assimilation
KW - Pixel-level image fusion
KW - Structure similarity (SSIM)
UR - https://www.scopus.com/pages/publications/77949644039
U2 - 10.1109/ICICS.2009.5397654
DO - 10.1109/ICICS.2009.5397654
M3 - 会议稿件
AN - SCOPUS:77949644039
SN - 9781424446575
T3 - ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing
BT - ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing
T2 - 7th International Conference on Information, Communications and Signal Processing, ICICS 2009
Y2 - 8 December 2009 through 10 December 2009
ER -