This paper describes an approach for accomplishing sub-octave wavelet analysis and its discrete implementation for noise reduction and feature enhancement. Sub-octave wavelet transforms allow us to more closely characterize features within distinct frequency bands. By dividing each octave into sub-octave components, we demonstrate a superior ability to capture transient activities in a signal o...

This paper describes an approach for accomplishing sub-octave wavelet analysis and its discrete implementation for noise reduction and feature enhancement. Sub-octave wavelet transforms allow us to more closely characterize features within distinct frequency bands. By dividing each octave into sub-octave components, we demonstrate a superior ability to capture transient activities in a signal o...

Fractal coding has great potential, and wavelet coding is the most efficient way. In this paper, an embedded image compression based on fractal and wavelet is proposed. The lowest frequency subband of wavelet domain is coded by fractal first, and the coding error and other sub-bands are coded by Binary Tree Coding with Adaptive scanning order (BTCA). The lowest frequency sub-band has very high ...

This paper presents a hybrid technique for compression using Wavelet and Vector Quantization (VQ). Wavelet is a technique for representing the image into various degrees of resolution. The input image of size 256 *256 pixels is divided into 4 sub-bands named LL, HL, LH, HH by applying Discrete Wavelet Transform. Vector Quantization is then applied for the lower sub band (LL). The size of lower ...

Precipitation forecasting due to its random nature in space and time always faced with many problems and this uncertainty reduces the validity of the forecasting model. Nowadays nonlinear networks as intelligent systems to predict such complex phenomena are widely used. One of the methods that have been considered in recent years in the fields of hydrology is use of wavelet transform as a moder...

Moving vehicle’s driver’s Fatigueness is of prime concern for long and safe drive. Fatigueness can be estimated by observing the facial expression. The said problem may be thought of analysis of driver’s facial expression in wavelet domain using entropy of low frequency and high frequency sub band of the facial image. Further, the video movie of the driver may be decomposed into images as frame...

In this paper, a new approach of images coding by Shapiro algorithm (Embedded Zerotree Wavelet algorithm or EZW) is proposed. In this approach, the old Shapiro algorithm for image coding is modified. The new modified EZW (MEZW), distributes entropy differently and also optimizes the coding. This new version can produce good results that are a significantly improve the PSNR and compression ratio...

In this paper, we introduce a compression algorithm using wavelet transform. The principle of wavelet transform is to decompose hierarchically the input image into a series of successively lower resolution reference images and detail images which contain the information needed to be reconstructed back to the next higher resolution level . The histogram of image sub-bands provides us with inform...

accurate groundwater level modeling and forecasting contribute to civil projects, land use, citys planning and water resources management. combined wavelet-artificial neural network (wann) model has been widely used in recent years to forecast hydrological and hydrogeological phenomena. this study investigates the sensitivity of the pre-processing to the wavelet type and decomposition level in ...

A reversible data hiding scheme based on integer-tointeger wavelet transform is proposed in this paper. The scheme uses a Sudoku-based method to embed data by modifying the wavelet coefficients. First, the algorithm performs the one-level integer wavelet transform of the host image and obtains four sub-bands, i.e., LL1, HL1, LH1, and HH1. Then, the HL1 sub-band is used as the base matrix, and t...