Electrophysiological recordings are considered a reliable method of assessing a person’s alertness. Sleep medicine is asked to offer objective methods to measure daytime alertness, tiredness and sleepiness. As EEG signals are non-stationary, the conventional method of frequency analysis is not highly successful in recognition of alertness level. This paper deals with a novel method of analysis ...

In this paper, we present new method to the objective image quality evaluation based on discrete wavelet transform (DWT) and Particle Swarm Optimization and Gravitational Search algorithms (PSO-GSA). DWT is applied on the difference between the original and degraded image, which is decomposed into approximation and detail sub-bands. DWT coefficients are computed using Haar wavelet filter banks....

This paper presents a comparison of two methods for features extraction of mammograms based in completed local binary pattern (CLBP) and wavelet transform. In first part, CLBP was applied in digitized mammograms. In second part, we applied CLBP in the sub-bands obtained from the wavelet multi-resolution representation of the mammographies. In this study, we evaluated the CLBP in the image in th...

In very high-resolution (VHR) push-broom-type satellite sensor data, both destriping and denoising methods have become chronic problems and attracted major research advances in the remote sensing fields. Since the estimation of the original image from a noisy input is an ill-posed problem, a simple noise removal algorithm cannot preserve the radiometric integrity of satellite data. To solve the...

In this paper, a novel color texture image classification based on HSV color space, wavelet transform, and motif patterns is introduced. Traditionally, RGB color space is widely used in digital images and hardware. However, RGB color space is not accurate in human visual perception and statistical analysis. Therefore, HSV color space is applied to obtain more accurate color statistics for extra...

A suggested approach is presented in this paper to obtain high-resolution images from the fusion and then interpolation of Magnetic Resonance (MR) and Computed Tomography (CT) images. MR and CT images are fused with either the Discrete Wavelet Transform (DWT) or the curvelet transform. After that, a least-squares interpolation step is carried out on the wavelet sub-bands of the fusion result. S...

The paper addresses image feature characterization and the structuring of large and heterogeneous image databases through the stochasticity or randomness appearance. Measuring stochasticity involves finding suitable representations that can significantly reduce statistical dependencies of any order. Wavelet packet representations provide such a framework for a large class of stochastic processe...

In modern technology, A wavelet-domain approach based on dual-tree complex wavelet transform (DTCWT) and nonlocal means (NLM) is proposed for RE of the satellite images.A satellite input image is processed by DTCWT (which is nearly shift invariant) to obtain high-frequency subbands. Lanczos interpolator is used between highfrequency subbands and the low-resolution (LR) input.The subbands other ...

Digital watermarking is the process of embedding information into a digital signal. In this paper to improve the robustness, the hybrid DWTSVD based algorithm is proposed for embedding and extracting process. The suggested method is performed by modification on singular value decomposition of images in Discrete Wavelet Transform (DWT) domain. Modification of the appropriate sub-bands leads to a...