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Real and Complex Representation of Image in Curvelet Domain
Abstract
In this paper we have described the Curvelet
representation of image. Many applications like image compression require sparse representation of image. Curvelet transform is localized not only in position (the spatial domain) and scale (the frequency domain), but also in orientation so it can handle any curve discontinuity more effectively compared to wavelet. Here we have compared real and complex Curvelet coefficients for different specifications. We have also described the comparison of tracking an object for both real and complex Curvelet for Energy based searching algorithm.
Keywords
References
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Frames for tracking :
http://www.inf.ed.ac.uk/teaching/courses/av/MATLAB/TASK6/DATA/
Curvelet toolbox : www.curvelet.org
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