The use of F-transform for image fusion algorithms

We show that on the basis of F-transform, the problem of reconstruction of corrupted images can be solved. The proposed technique is called image fusion. A simple linear algorithm of image fusion, based on F-transform, is proposed and justified. A measure of degradation of an image is proposed as well.

[1]  Radek Valasek,et al.  Full fuzzy transform and the problem of image fusion , 2006 .

[2]  Irina Perfilieva,et al.  Fuzzy Transforms: A Challenge to Conventional Transforms , 2007 .

[3]  B. Moshiri,et al.  Fuzzy image fusion application in detecting coronary layers in IVUS pictures , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

[4]  Yun Zhang,et al.  Wavelet based image fusion techniques — An introduction, review and comparison , 2007 .

[5]  Irina Perfilieva,et al.  Fuzzy transforms: Theory and applications , 2006, Fuzzy Sets Syst..

[6]  T. Meitzler,et al.  Iterative image fusion technique using fuzzy and neuro fuzzy logic and applications , 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.

[7]  Isabelle Bloch.  Defining belief functions using mathematical morphology - Application to image fusion under imprecision , 2008, Int. J. Approx. Reason..

[8]  Irina Perfilieva,et al.  Image Fusion on the Basis of Fuzzy Transforms , 2008 .

[9]  A. Mumtaz,et al.  Genetic Algorithms and its application to image fusion , 2008, 2008 4th International Conference on Emerging Technologies.

[10]  Irina Perfilieva,et al.  Fuzzy Transforms in Removing Noise , 2004, Fuzzy Days.

[11]  Harpreet Singh,et al.  Image fusion using fuzzy logic and applications , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

[12]  E. Micheli-Tzanakou,et al.  Medical imaging fusion applications: An overview , 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).

[13]  Gemma Piella,et al.  A general framework for multiresolution image fusion: from pixels to regions , 2003, Inf. Fusion.

[14]  Cedric Nishan Canagarajah,et al.  Non-Gaussian model-based fusion of noisy images in the wavelet domain , 2010, Comput. Vis. Image Underst..

[15]  Rick S. Blum.  Robust image fusion using a statistical signal processing approach , 2005, Inf. Fusion.