Eliminating of impulse noise from images without losing their features is an important requirement in image processing applications. The standard median filter is a good nonlinear filter for eliminating impulse noise; however, it fails to preserve the image details when the window size is made larger. In this paper, three nonlinear filtering schemes, based on Rank-Ordered Logarithmic Difference...

Along with high development of multimedia information technique, the provider of badness information embeds some badness information to image or directly saves as a image file, avoiding the filter of image, which brings extreme effect of security hidden trouble in society. An information audit system based on image content filtering is provided in this paper. At first, we discuss some basic met...

Abstract Recently, an image encryption algorithm using block-based scrambling and filtering was proposed by Hua et al. The main idea of the is to utilize permutate diffuse plain-images. In this paper, we analyze security problems in detail break a codebook attack. A linear relation between plain-images cipher-images disclosed differential cryptanalysis. Using relation, build containing ( M × N ...

In this paper, an image denoising method based on back propagation neural network and wavelet decomposition is proposed. The wavelet decomposition coefficient of the image with noise is used as the training sample input, and the high frequency coefficient of the original image is used as the expected output to train the BP network. The obtained network can remove the noise in the image better. ...

Although the Wiener filtering is the optimal tradeoff of inverse filtering and noise smoothing, in the case when the blurring filter is singular, the Wiener filtering actually amplify the noise. This suggests that a denoising step is needed to remove the amplified noise .Wavelet-based denoising scheme provides a natural technique for this purpose . In this paper a new image restoration scheme i...

Introduction: Filtering can greatly affect the quality of clinical images. Determining the best filter and the proper degree of smoothing can help to ensure the most accurate diagnosis. Methods: Forty five patient’s data aquired during brain phantom SPECT studies were reconstructed using filtered back-projection technique. The ramp, Shepp-Logan, Cosine, Hamming, Hanning, Butterworth, Metz...