This paper presents a method of compressing still images combining the powerful features of support vector machine (SVM) for machine learning with discrete wavelet transform (DWT) in image transformation. DWT, based on the ‘haar’ wavelet, has been used to transform the image and the coefficients acquired from DWT are then trained with SVM using Gaussian kernel. SVM has the property that it sele...

In this paper we review a number of approaches to reducing, or removing, the problem of shift variance in the discrete wavelet transform (DWT). We describe a generalization of the critically sampled DWT and the fully sampled algorithme à trous that provides approximate shift-invariance with an acceptable level of redundancy. The proposed over complete DWT (OCDWT) is critically sub-sampled to a ...

Utilizing multiple views of an image is important approach in digital photography, video editing, and medical fusion applications. Image (ImF) methods are used to improve image's quality remove noise from the signal, resulting a higher signal-to-noise ratio. A complete assessment literature on different transform kinds, techniques, rules utilized ImF presented this paper. To assess outcomes, wh...

Long-term Yellow River irrigation and the unique natural conditions in the Heitao Irrigation District (HID) Inner Mongolia, China, has led to serious environmental problems such as the shallower groundwater table and soil secondary salinization, etc. The conflicts among socio-economic development, water shortage and environmental degradation have become increasingly critical. By using the stati...

In past few decades, dual tree discrete wavelet transform (DT-DWT) has become an open active research area for image processing applications. Nowadays; lifting based DT-DWT seeks more attention due to its lower computational complexity and shift invariance property. Nevertheless, VLSI implementation of lifting based DT-DWT further needs to be improved for low power and high speed image processi...

Abstract—Digital water marking is a technique of embedding extra information into the multimedia content, which can be extracted to prove the copy rights. Compared to human visual system, audio system is more sensitive. As a result very few audio watermarking algorithms have been robust and imperceptible. In this paper we are implementing audio watermarking using discrete wavelet transform (DWT...

The Discrete Wavelet Transform (DWT) decomposes an image into bands that vary in spatial frequency and orientation. It is widely used for image compression. Measures of the visibility of DWT quantization errors are required to achieve optimal compression. Uniform quantization of a single band of coefficients results in an artifact that is the sum of a lattice of random amplitude basis functions...

Wireless digital communication networks are rapidly expanding resulting in a demand for reliable and high spectral efficiency systems. Multi-Carrier Code Division Multiple Access (MC-CDMA) has emerged recently as a promising candidate for the next generation broad-band mobile networks. Also it was found recently that Radon-discrete wavelet transform (DWT) based Orthogonal Frequency Division Mul...

PURPOSE To compare time domain (TD: peak time and amplitude) analysis of the human photopic electroretinogram (ERG) with measures obtained in the frequency domain (Fourier analysis: FA) and in the time-frequency domain (continuous (CWT) and discrete (DWT) wavelet transforms). METHODS Normal ERGs (n = 40) were analyzed using traditional peak time and amplitude measurements of the a- and b-wave...

Model-based gear dynamic analysis and simulation has been a promising way for developing effective gearbox vibration monitoring approaches. In this paper, based on the dynamic model of a one-stage gearbox with spur gears and one tooth crack, statistical indicators and the discrete wavelet transform (DWT) technique are investigated to identify effective and sensitive health indicators for reflec...