This paper briefly reviews motivators for indoor diffuse infrared wireless communications and discusses the difficulties in realizing high data rate implementations. We consider a sub-set of traditional performance enhancing techniques and compare them with the proposed novel wavelet and artificial intelligence (AI) detection mechanism. Results of computer simulations for both the minimum mean ...

We present a novel object-based spatiotemporal (3-D) subband/wavelet coding scheme for very low bit-rate video compression. First, the image sequence is segmented into objects based on motion and color. The objects are then independently decomposed by sub-band/wavelet analysis, both in the temporal and spatial domain. The temporal analysis is greatly facilitated over existing methods by the obj...

Introduction Wavelets and Wavelet transforms have been one of the most important developments in image analysis over the last decade especially for applications such as data com pression segmentation and vision The wavelet transform WT has been described in a num ber of di erent ways by various authors It can be described as a modi cation of the short time Fourier transform the decomposition of...

In many image or video processing applications, it is often required to increase image resolution. This paper addresses a Super Resolution scheme that reconstructs high resolution images from non-uniformly distributed samples obtained from multiple available sub-pixel shifted low resolution images. In this work, the problem of reconstructing a signal from its non-uniform samples in shift-invari...

A generalization of the Discrete Wavelet Packet Transform (DWPT), referred to as Overlapping Discrete Wavelet Packet Transform (ODWPT), is proposed. In contrast to the traditional DWPT, the ODWPT assumes overlapping among the frequency sub-bands at various levels of the transform. Based on this overlapping strategy, a new set of speech features that is specially designed for speaker recognition...

Two simple constructive methods are presented to compute compactly supported tight wavelet frames for any given refinable function whose mask satisfies the QMF or sub-QMF conditions in the multivariate setting. We use one of our constructive methods in order to find tight wavelet frames associated with multivariate box splines, e.g., bivariate box splines on a three or four directional mesh. Mo...

-In this paper the technique for resolution and contrast enhancement of satellite geographical images based on discrete wavelet transform (DWT), stationary wavelet transform (SWT) and singular value decomposition (SVD) has been proposed. In this, the noise is added in the input low resolution and low contrast image. The median filter is used remove noise from the input image. This low resolutio...

This paper mainly addresses the problem of determining voice activity in presence of noise, especially in a dynamically varying background noise. The proposed voice activity detection algorithm is based on structure of three-layer wavelet decomposition. Appling auto-correlation function into each subband exploits the fact that intensity of periodicity is more significant in sub-band domain than...

A robust and oblivious audio watermarking based on quantization of wavelet coefficients is proposed in this paper. Watermark data is embedded by quantizing large wavelet coefficient in absolute value of high frequency detail sub-band at the third level wavelet transform. The watermark can be extracted without using the host signal. Experimental results show that the proposed method has good imp...

The work presented in this paper extends the concept of sub-band video coding based on a 3D wavelet transform to a more adaptive approach. A formal comparison is presented between the performances inferred by the use of the 3D wavelet transform and the use of a 2D wavelet in the spatial domain extended by a locally adaptive transform in the temporal dimension. Some advantages are foreseen for t...