Image compression is a method that is used to reduce the irrelevance and redundancy of the image data i.e reduce the storage space for images ,video in order to increase the performance of transmission process in an efficient form without compromising the quality and information of images. This paper deals with two image compression techniques. The first one is Discrete Cosine Transform (DCT) a...

Piracy is a big threat to the original contents. This multi-model approach interleaves some frequency domain watermarking strategies to counteract shortcomings of one strategy by the advantages of other. The original image is divided into spatially disjoint blocks. Watermarking is a way of embedding a mark that hides information in a multimedia carrier. Major issues in Image watermarking are to...

The properties of Wavelet Transform can be successfully applied for analysis and processing of non stationary signals e.g., speech and image processing, data compression and communications. Due to the growing number of applications in various areas, it is necessary to explore the hardware implementation options of the Discrete Wavelet Transform (DWT). The Wavelet Series is just a sampled versio...

This paper proposes three approaches to content-based watermarking for image authentication based on Independent Component Analysis (ICA). In this scheme, ICA is applied to blocks of the cover image and the resulting mixing matrix is used as the content-based feature. This is embedded in the mid-frequency DCT coefficient of the block in the first method. The watermark is embedded in the 3 rd le...

Currently, it is very essential to monitor activities in Video surveillance applications both in private and public environments. In this context, our paper presents a novel framework to detect the normal or abnormal event situations by analyzing the pixel-wise motion context using block-based approaches. First motion estimation techniques are applied to characterize the events at the pixel lev...

Received Nov 07, 2016 Revised Jan 13, 2017 Accepted Jan 23, 2017 An appropriate fault detection and classification of power system transmission line using discrete wavelet transform and artificial neural networks is performed in this paper. The analysis is carried out by applying discrete wavelet transform for obtained fault phase currents. The work represented in this paper are mainly concentr...

Motivation • Seasonal long memory is gaining attention as a time series model in econometrics and the physical sciences. { Arteche and Robinson (2000) proposed log-periodogram regression and Gaussian semi-parametric estimation for seasonal long-memory processes. • The discrete wavelet transform (DWT) is a useful alternative to the discrete Fourier transform for the analysis and synthesis of lon...

Fourier transform is applied to detect the direction of stripe noise before de-noising, which is advantageous for selecting the corresponding detail coefficients for threshold quantization after stationary wavelet transform. Depending on the direction of stripe noise, the corresponding detail coefficients contain stripe noise need to be removed, while retaining the approximate coefficients and ...

An Image Resolution Enhancement Technique based on Interpolation of the high frequency sub-band of colour images obtained by Discrete Wavelet Transform and the input colour image is proposed in this paper. Interpolation determines the intermediate values on the basis of observed values. One of the commonly used interpolation technique is Bicubic Interpolation. The edges are enhanced by introduc...

This study presents a framework for gray texture classification based on wavelet and curvelet features. The two main frequency domain transformations Discrete Wavelet Transform (DWT) and Discrete Curvelet Transform (DCT) are analyzed. The features are extracted from the DWT and DCT decomposed image separately and their performances are evaluated independently. The performance metric used to ana...