Pedestrian detection based on redundant wavelet transform

2016 ◽  
Author(s):  
Lin Huang ◽  
Liping Ji ◽  
Ping Hu ◽  
Tiejun Yang
Keyword(s):  
Wavelet Transform ◽  
Pedestrian Detection ◽  
Redundant Wavelet Transform

Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform

2016 ◽  
Vol 27 ◽  
pp. 93-104 ◽  
Author(s):  
Zongying Lai ◽  
Xiaobo Qu ◽  
Yunsong Liu ◽  
Di Guo ◽  
Jing Ye ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Image Reconstruction ◽  
Compressed Sensing ◽  
Redundant Wavelet Transform

An Image Fusion Algorithm Based on Redundant Wavelet Transform

2014 ◽  
Vol 687-691 ◽  
pp. 3656-3661
Author(s):  
Min Fen Shen ◽  
Zhi Fei Su ◽  
Jin Yao Yang ◽  
Li Sha Sun
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
High Frequency ◽  
Low Frequency ◽  
Source Image ◽  
Fusion Image ◽  
Fusion Algorithm ◽  
Imaging Characteristics ◽  
Focus Image ◽  
Redundant Wavelet Transform

Because of the limit of the optical lens’s depth, the objects of different distance usually cannot be at the same focus in the same picture, but multi-focus image fusion can obtain fusion image with all goals clear, improving the utilization rate of the image information ,which is helpful to further computer processing. According to the imaging characteristics of multi-focus image, a multi-focus image fusion algorithm based on redundant wavelet transform is proposed in this paper. For different frequency domain of redundant wavelet decomposition, the selection principle of high-frequency coefficients and low-frequency coefficients is respectively discussed .The fusion rule is that,the selection of low frequency coefficient is based on the local area energy, and the high frequency coefficient is based on local variance combining with matching threshold. As can be seen from the simulation results, the method given in the paper is a good way to retain more useful information from the source image , getting a fusion image with all goals clear.

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