Least-Squares Interpolation of Fused MR and CT Images in the Wavelet Domain | Zendy

Eman Sultan | Zendy; ElSayed M. ElRabaie | Zendy; Fathi E. Abd ElSamie | Zendy; Nawal ElFishawy | Zendy; Said E. ElKhamy | Zendy

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Least-Squares Interpolation of Fused MR and CT Images in the Wavelet Domain

Author(s) -

Eman Sultan,

ElSayed M. ElRabaie,

Fathi E. Abd ElSamie,

Nawal ElFishawy,

Said E. ElKhamy

Publication year - 2012

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/8812-0622

Subject(s) - computer science , interpolation (computer graphics) , wavelet , artificial intelligence , domain (mathematical analysis) , least squares function approximation , computer vision , pattern recognition (psychology) , mathematics , image (mathematics) , statistics , mathematical analysis , estimator

A suggested approach is presented in this paper to obtain high-resolution images from the fusion and then interpolation of Magnetic Resonance (MR) and Computed Tomography (CT) images. MR and CT images are fused with either the Discrete Wavelet Transform (DWT) or the curvelet transform. After that, a least-squares interpolation step is carried out on the wavelet sub-bands of the fusion result. Simulation results show the feasibility of the fusion process to obtain images with more details and the efficiency of interpolation to obtain high-resolution images.

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