Academic Journals Database
Disseminating quality controlled scientific knowledge

Image Fusion Using Pca in Cs Domain

ADD TO MY LIST
 
Author(s): S. Zebhi | M. R. Aghabozorgi Sahaf | M. T. Sadeghi

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 3;
Issue: 4;
Start page: 153;
Date: 2012;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Compressive Sensing | Image Fusion | Multi-Focus Images | Multi-Focus and Noisy Images

ABSTRACT
Compressive sampling (CS), also called Compressed Sensing, has generated a tremendous amount of excitement in the image processing community. It provides an alternative to Shannon/Nyquist sampling when the signal under acquisition is known to be sparse or compressible. In this paper, we propose a new efficient image fusion method for compressed sensing imaging. In this method, we calculate the twodimensional discrete cosine transform of multiple input images, these achieved measurements are multiplied with sampling filter, so compressed images are obtained. we take inverse discrete cosine transform of them. Finally, fused image achieves from these results by using PCA fusion method. This approach also is implemented for multi-focus and noisy images. Simulation results show that our methodprovides promising fusion performance in both visual comparison and comparison using objective measures. Moreover, because this method does not need to recovery process the computational time is decreased very much.
Why do you need a reservation system?      Save time & money - Smart Internet Solutions