Open Access Open Access  Restricted Access Subscription or Fee Access

Multi-Focus Image Fusion Based On Spatial Frequency in Discrete Wavelet Transform

J. Rajeswari

Abstract


The project presents multi focus image fusion using stationary wavelet transform with local directional pattern and spatial frequency analysis. Multi focus image fusion in wireless visual sensor networks is a process of fusing two or more images to obtain a new one which contains a more accurate description of the scene than any of the individual source images. In this project, the proposed model utilizes the multi scale decomposition done by stationary wavelet transform for fusing the images in its frequency domain. It decomposes an image into two different components like structural and textural information. It doesn’t down sample the image while transforming into frequency domain. So it preserves the edge texture details while reconstructing image from its frequency domain. It is used to reduce the problems like blocking, ringing artifacts occurs because of DCT and DWT.


Keywords


DWT, Spatial Frequency, MRI and CT

Full Text:

PDF

References


Liu Cao, Longxu Jin, Hongjiang Tao, Guoning Li, Zhuang Zhuang, and Yanfu Zhang. IEEE SIGNAL PROCESSING LETTERS, VOL. 22, NO. 2, FEBRUARY 2015

A.Goshtasby and S. Nikolov, “Image fusion: Advances in the state of the art,” Inf. Fusion, vol. 8, no. 2, pp. 114–118, Apr. 2007.

D. Socolinsky and L. Wolff, “Multispectral image visualization through first-order fusion,” IEEE Trans. Image Process., vol. 11, no. 8,pp. 923–931, Aug. 2002.

R. Shen, I. Cheng, J. Shi, and A. Basu, “Generalized random walks for fusion of multi-exposure images,” IEEE Trans. Image Process., vol. 20,no. 12, pp. 3634–3646, Dec. 2011.

S. Li, J. Kwok, I. Tsang, and Y. Wang, “Fusing images with different focuses using support vector machines,” IEEE Trans. Neural Netw.,vol. 15, no. 6, pp. 1555–1561, Nov. 2004.

G. Pajares and J. M. de la Cruz, “A wavelet-based image fusion tutorial, ”Pattern Recognit., vol. 37, no. 9, pp. 1855–1872, Sep. 2004.

D. Looney and D. Mandic, “Multiscale image fusion using complex extensions of EMD,” IEEE Trans. Signal Process., vol. 57, no. 4,pp. 1626–1630, Apr. 2009.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.