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Non-blind image deblurring algorithms based on the regularization can cause ringing artifacts. Using hyper-Laplacian priors, Krishnan D has proposed a non-blind deblurring model which can reduce ringing artifacts well, but it damages the image edge details. To solve this problem, a parameter adaptive non-blind deblurring model based on regional division is proposed in this paper. It can effectively...
Point Spread Function (PSF) estimation is a key issue influencing the quality of imagery restoration. There are many PSF estimation methods for optical imagery but few for SAR imagery. This paper puts forward a new method of PSF estimation for restoration of SAR imagery. By setting corner reflectors in the field, according to the brightness and scattering features, the PSF of SAR imagery can be simulated...
A novel secure communication scheme is presented in this paper. A hyper-chaotic system is applied in the secure communication. Although it is three-dimensional system, it has two positive Lyapunov exponents and is a hyper-chaotic system. Because of the high Lyapunov exponent and the nonlinear spread spectrum technology, the randomness and unpredictability of the carrier signal are enhanced. Based...
An image encryption algorithm based on a four-dimensional chaotic system is presented in this paper, in view of the existing problems in the image encryption. Firstly, the characteristics of the chaotic system are analyzed. This system has more parameters and is more complex than the low-dimensional chaotic systems. The chaotic sequences are improved to be suitable for image encryption. Secondly,...
From the viewpoint of Bayesian method, image restoration algorithms based on wavelet-domain hidden Markov tree (HMT) model have been proposed recently. These algorithms utilize the HMT model which captures the persistence property of wavelet coefficients, but lack the clustering property of wavelet coefficients within a scale. In this paper, we propose a new image restoration algorithm. The algorithm...
Image filtering based on SVD favors the denoising in the line (horizontal) and column (vertical) direction. Based on this property, a novel approach to improving the filtering efficiency of a noisy image is proposed in this paper. The new denoising method adapts shape and size of block to local orientation before performing SVD filtering. Through over-complete representation in overlap regions; the...
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