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...

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...

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, ...