Delivery of video in the presence of bandwidth constraints is one of the most important video compression problems. In this work, the preprocessing for video compression is started by extracting any video format into raw data format and applying float wavelet transform on each frame. This step provides the video frames to perform an adaptive quantization in a frequency domain. This leads to red...

The surface autocorrelation function can be retrieved from the values of the far-field integrated irradiance. The inversion procedure is discussed in the frame of a theory of integrated wavelet transformation. For different types of autocorrelation functions, the capabilities and limitations of the inversion procedure are studied. The influence of experimental noise and the specific choice of t...

In this paper we study the action of a double infinite matrix A on f ∈ H ν (weighted Banach space, 1 ≤ p ≤ ∞) and on its wavelet coefficients. Also, we find the frame condition for A−transform of f ∈ H ν whose wavelet series expansion is known.

In this paper, we present an evaluation of various wavelet filters in the context of a JPEG 2000 based inter frame video coding system both on software and on hardware side. The software system itself is based on coding of a combination of intra frames and/or differential frames. Motion indicators are introduced and performed on the differential frames to determine the motion content (high or l...

Spread Spectrum modulation has become a preferred paradigm in many watermarking applications. This paper analyzes the performance of such a blind watermarking scheme under discrete wavelet frame rather than a traditional orthonormal wavelet expansion. The over complete representation offered by the redundant frame facilitates the identification of significant image features via a simple correla...

We analyze the internal structure of the multiresolution analyses of L2(Rd) defined by the unitary extension principle (UEP) of Ron and Shen. Suppose we have a wavelet tight frame defined by the UEP. Define V0 to be the closed linear span of the shifts of the scaling function and W0 that of the shifts of the wavelets. Finally, define V1 to be the dyadic dilation of V0. We characterize the condi...

In this research, we proposed testing and validating the accuracy of employing wavelet transform and Hidden Conditional Random Field (HRCF) for video based activity recognition. For feature extraction, Symlet wavelet was tested and decomposed up to 4 levels, and some of the highest coefficients were extracted from each level of decomposition. These coefficients were based on the average frequen...

This work presents an approach to the extraction of rotation invariant features for texture segmentation using multiscale wavelet frame analysis. The texture is decomposed into a set of bandpass channels by a circularly symmetric wavelet lter, which then gives a measure of edge magnitudes of the texture at di erent scales. The texture is characterized by local energies over small overlapping wi...

The gammachirp filter bank was used to model human cochlea filtering. Recently, we have proposed an auditory feature based on gammachirp wavelet transform. We have found that the features extractor gives a more significant improvement in robust speaker recognition than conventional acoustic features. The Gammachirp Wavelet Transform Frequency Cepestral Coefficients GWTFCC proposed the use of th...

Abstract: Drawing inspiration from the construction of tight wavelet frames generated by the Walsh polynomials, we introduce the notion of minimum-energy wavelet frames generated by the Walsh polynomials on positive half-line R using unitary extension principles and present its equivalent characterizations in terms of their framelet symbols. Moreover, based on polyphase components of the Walsh ...