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Vehicle Recognition Using Curvelet Transform and SVM
This paper proposes the performance of a new algorithm for vehicles recognition system. This
recognition system is based on extracted features on the performance of image’s curvelet transform &
achieving standard deviation of curvelet...
Vehicle Recognition Based on Fourier, Wavelet and Curvelet Transforms - a Comparative Study
This paper proposes the application of 3 different kinds of feature extractors to recognize & classify 5 models of vehicles. These feature extractors are Fast Fourier transform, discrete wavelet transform & discrete curvelet transform. To justify...
WACA: a new blind robust watermarking method based on Arnold Cat map and amplified pseudo-noise strings with weak correlation
In this paper, a robust and blind watermarking method is proposed, which is highly resistant to the common image watermarking attacks, such as noises, compression, and image quality enhancement processing. In this method, ...
SHEARLET TRANSFORM: A NEW DIRECTIONAL REPRESENTATION
Drawbacks of classic wavelet theory in dealing with
data, among them problems concerning image processing, stimu-
lated during the past 20 years many mathematicians to seek for
efficient substitutes ...