Multiple image fusion algorithm in wavelet domain based on JPEG
-
1.
Jiangsu Province Key Laboratory for Opto-electronic Technology, Nanjing Normal University, Nanjing 210023, China
-
Corresponding author:
NIE Shouping, njnukjc_nie@163.com
-
Received Date:
2013-05-20
Accepted Date:
2013-08-02
-
Abstract
In order to fuse the information of multiple optical images in a certain area, an image fusion algorithm based on joint photographic experts group(JPEG) in wavelet domain was adopted. The main idea of the method was to regard the inverse wavelet transform as information fusion process. Each source image was compressed into a group of binary code flow according to JPEG standard. Then the group of binary code flow was taken as the wavelet coefficients and the fused image was obtained by taking inverse wavelet transform. The results show that the algorithm can realize the fusion of multiple gray-scale images and color images, improve the amount of information in a single space and be conducive to multiple images storage and transmission.
-
-
References
|
[1]
|
BAI X Z. Image fusion through feature extraction by using sequentially combined toggle and top- hat based contrast operator[J].Applied Optics, 2012,51(31):7566-7575. |
|
[2]
|
CHEN Y, WANG L, SUN Z, et al. Fusion of color microscopic images based on bidimensional empirical mode decomposition[J].Optics Express, 2010, 18(21):21757-21769. |
|
[3]
|
SHAO Z F, LIU J, CHENG Q M. Fusion of infrared and visible images based on focus measure operators in the curvelet domain[J].Applied Optics,2012, 51(12):1910-1921. |
|
[4]
|
MA N, ZHOU Z M, ZHANG P, et al. A new variational model for panchromatic and multispectral image fusion [J].Acta Automatica Sinica, 2013, 39(2):179-187(in Chinese). |
|
[5]
|
LI Z H, WU H Z. Geometrically robust image watermark based on DWT and steerable pyramid[J].Journal of Image and Graphics, 2010, 15(2):211-219(in Chinese). |
|
[6]
|
JIN X, LI H H, SHI P L. SAR and multispectral image fusion algorithm based on pulse coupled neural networks and non-subsampled contourlet transform[J].Journal of Image and Graphics, 2012,17(9):1188-1195(in Chinese). |
|
[7]
|
GAN T, FENG S T, NIE S P, et al. An image hiding and blind extraction algorithm based on block discrete wavelet transform[J].Acta Physica Sinica, 2012, 61(8):084203(in Chinese). |
|
[8]
|
GAN T, FENG S T, NIE S P, et al. Image fusion algorithm based on block-DCT in wavelet domain[J].Acta Physica Sinica, 2011, 60(11):114205(in Chinese). |
|
[9]
|
SHUAI W J, FENG S T, NIE S P, et al. Sequence images hiding technique of three-dimensional object based on principal component analysis in wavelet domain[J].Acta Physica Sinica, 2011, 60(3): 034203(in Chinese). |
|
[10]
|
WAN J, ZHANG X H, RAO J H. Application of wavelet threshold de-noising in scattering optical wake flow signal processing[J].Laser Technology, 2011,35(4):468-471(in Chinese). |
|
[11]
|
WEI H L, SHI J H, TZONG W K, et al. An efficient watermarking method based on significant difference of wavelet coefficient quantization[J].IEEE Transactions on Multimedia, 2008,10(5):746-756. |
|
[12]
|
UNSER M, SAGE D, van de VILLE D. Multiresolution monogenic signal analysis using the Riesz-Laplace wavelet transform[J].IEEE Transactions on Image Processing, 2009,18(11): 2402-2418. |
-
-
Proportional views
-
Map
DownLoad: