in this paper a wavelet-based logo watermarking scheme is presented. the logo watermark is embedded into all sub-blocks of the lln sub-band of the transformed host image, using quantization technique. extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. knowing the quantization step-size, dimensions of logo and the level of wavelet tra...

awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...

In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed to acquire the EEG signals over five healthy subjects using 63 biosensors. We propose the analysis of EEG signals using discrete wavelet transform and classification using neur...

This paper presents a hybrid watermarking technique which mixes additive and multiplicative watermark embedding with emphasis on its robustness versus the imperceptibility of the watermark. The embedding is performed in six wavelet sub-bands using independently three embedding equations and two parameters to modulate the embedding strength for multiplicative and additive embedding. The watermar...

In this paper robust audio watermarking based on chirp signal is proposed which also includes capability of blind self-authentication. Watermark sequence is extracted from the original audio signal based on sub-bands energy obtained by using wavelet decomposition. The watermarking scheme is such that the watermark sequence remains unchanged for the original and watermarked audio. This enables t...

This paper presents an oblivious watermarking scheme based on contourlet transform and quantization index modulus modulation (QIMM).The scheme has the following features. First, the proposed scheme makes better use of multidirectional characteristic of contourlet transform and embed the watermark into the 4 directional high pass sub bands. Second, the scheme avoids the problem of selection of w...

In this study, respiratory sounds of asthmatic patients and healthy individuals are analyzed and classified to diagnose asthma. Normal and asthmatic breath sound signals are divided into segments which include a single respiration cycle as inspiration and expiration. Analyses of these sound segments are carried out by using both discrete wavelet transform (DWT) and wavelet packet transform (WPT...

The main goal of developing an image watermarking technique is to satisfy both imperceptibility and robustness requirements. To achieve this goal, a hybrid DWT (discrete wavelet transform) SVD (singular value decomposition) and a logistic chaotic map based watermarking technique is proposed. In this approach, the watermark is not embedded directly on the wavelet coefficients but rather than the...

A new satellite image contrast enhancement technique based on the Discrete Wavelet Transform (DWT) and Principal Component Analysis has been proposed. By the use of discrete wavelet transform, the input image decomposed into four frequency sub-bands and estimates the eigen values and eigen vectors (PCA) of the low–low subband image and reconstructs the enhanced image by applying inverse DWT. Th...

With the development of steganalysis, the security of steganography is faced with tremendous challenge. High order statistical analysis is an effective and common detecting method that can defeat many hiding scheme. This paper proposes a secure steganography that can effectively resist image steganalysis based on high order statistical analysis. We have analyzed Haar wavelet decomposition chara...