This paper proposes a hardware-efficient architecture design of wavelet-based adaptive visible watermarking. Our method adopts discrete wavelet transform (DWT) to embed visible watermarking. We perform this algorithm using hardware-efficient architectures that combine operational reduction and resource sharing techniques. Our method provides high quality visible watermarking image and small har...

Video object coding is one of the most important functionalities proposed by MPEG4. In this paper, we propose a new wavelet method to encode the texture of an arbitrarily shaped object, both for the still and for video object. The method uses the shape adaptive wavelet transform (SA-DWT) in MPEG4 still object coding, but with a computationally more efficient lifting implementation. The transfor...

Arbitrary-shape wavelet packet transform (ASWPT) is presented as an adjustment of the traditional quad-tree wavelet packet transform. The group normalization (GN) and softer logic masking (SLM) techniques are introduced for image restoration with optimal visual result and high PSNR.

This thesis studies the application of signal-adaptive lter banks in perceptual coding of audio with an emphasis on Wavelet Filter Banks (WFB). It provides an overview of perceptual coding of audio, the motivating psychoacoustic principles, transforms and wavelet theory. Additionally, di erent existing wavelets-based audio coding schemes are presented. The aim of most of the schemes is to overc...

This paper outlines a new perceptual low bit rate audio coding scheme based on adapted wavelet representations. It claims wavelet tree and filter adaptation attending to a perceptual entropy-based method. To achieve such adaptive structure, a periodized wavelet packet transform is performed for each audio frame. After the transform, the encoder employs scalar adaptive quantization, controlled b...

so that the gray-scale graphs can be viewed more clearly. This paper presents a fast adaptive time-frequency analysis method for dealing with the signals consisting of stationary components and transients, which are encountered very often in practice. It is developed based on the short-time Fourier transform but the window bandwidth varies along frequency adaptively. The method therefore behave...

In this paper we consider the Easy Path Wavelet Transform (EPWT) on spherical triangulations. The EPWT has been introduced in [7] in order to obtain sparse image representations. It is a locally adaptive transform that works along pathways through the array of function values and exploits the local correlations of the data in a simple appropriate manner. In our approach the usual one-dimensiona...

This paper mainly concentrate on Noise Cancellation model using Wavelet coefficient smoothened Adaptive Algorithm applied to After reconstruction model and Before construction model and is implemented and tested on ECG with random artifact. The proposed model combines the advantage of Wavelet Transform (coefficient smoothening) and Adaptive Filter. This new proposed model performed better and f...

This paper proposes a new video denoising technique where spatially adaptive noise filtering in wavelet (transform) domain is combined with temporal filtering in signal domain. AWGN is being considered which behaves as Gaussian random variable. In this paper, spatial filtering of individual frames is done in the wavelet domain, and the filtering between the frames is done by recursive temporal ...

In this paper, an efficient hardware implementation of two-dimensional shape-adaptive discrete wavelet transform (2-D SA-DWT) with the JPEGZOOO defaulted (9,7) filter bank is presented. Two techniques are used to minimize the critical path and the internal buffer size. One technique is the flipping structure which can shorten the critical path of the lifting scheme by flipping multiplier coeffi...