Problem statement: Fast and accurate interpolation and resizing of images and video frames is a much sought after research area in multimedia applications. The more accurate schemes are computationally expensive and require more time for execution. We proposed here Discrete Wavelet Transform (DWT) using lifting scheme as an accurate and computationally inexpensive interpolation technique for im...

The aim of this paper is a complete statistical analysis of the two dimensional discrete wavelet transform, 2D DWT. This analysis represents a generalization of the statistical analysis of the 1D DWT, already reported in literature. The probability density function, the correlation and the first two moments of the coefficients of the 2D-DWT are computed. The asymptotic behaviour of this transfo...

Face recognition is a challenging problem and up to date, there is no technique that provides a robust solution to all situations. This paper presents a hybrid approach to pose invariant human face recognition. The proposed scheme is based on a combination of the Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) analysis on face images. The DWT-DCT domain coefficients are use...

With the rapid growth of network multimedia systems and other numerical technologies, images, audio, text and video can be more easily produced, processed as well as stored by digital devices in recent years. To conceal data in transmitting message for copyright protection the secret is very important. Various Digital Watermarking Techniques are developed to protect the secret data. This paper ...

Due to the lack of invariant property of discrete wavelet transform (DWT), the DWT based watermarking schemes are relatively vulnerable to the watermarking attacks such as geometric variations (i.e., rotation and translation etc.). To improve the reliability of the DWT based watermark detection, this paper introduces the new multiresolution based image registration method that is used to recove...

Removing as much noise possible in an image while preserving its fine details is a complex and challenging task. We propose wavelet-based non-local means (NLM) denoising method to overcome the problem. Two well-known wavelets: dual-tree wavelet transform (DT-CWT) discrete (DWT), have been used change into several coefficients sequentially. NLM filtering universal hard thresholding with cycle sp...

The Discrete Wavelet Transform (DWT) is an important transform with many signal processing applications, most notably, compression. Many architectures have been proposed to perform DWT, but few address the precision of the coefficients necessary to ensure perfect reconstruction. The goal of this work is to experimentally determine the precision of the filter coefficients (for an orthogonal wave...

This paper describes a hybrid technique for speaker recognition. Speaker recognition is that the method of identifying the person based on characteristics like pitch, tone, Cepstral coefficients in the speech wave. Here DWT and MFCC technique is employed for feature extraction. A mix of two or lot of techniques is named hybrid technique. DWT means divide the speech signal completely into differ...