Texture is one of important features of masses in mammograms. A recent texture unit-based texture spectrum approach, referred to as Texture Unit Coding (TUC) has shown promise in texture classification. This paper pre...
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CU VOCAL is a Cantonese text-to-speech (TTS) engine. We use a syllable-based concatenative synthesis approach to generate intelligible and natural synthetic speech in Cantonese. This paper reports on our recent enhanc...
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This paper will trace the origins of non-linear signal and image processing techniques from their separate sources based in set theory and logic to the more unified field that we see today. It will outline the technic...
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Packet Reordering has been shown to be an ever-increasing phenomenon on the Internet and must be taken into account when considering performance analysis of both fixed, wireless and mixed media networks. Previous work...
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The impulse noise in the HV power line channel is mainly caused by high voltage existing on conductors and station apparatus. Such impulse noise has repetition rate of 50 or 150 Hz and is synchronous to power frequenc...
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Hyperspectral imagery offers a means of uncovering enormous spectral information that can be used for various applications in data exploitation. How effectively such information is used affects the way image analysis ...
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Spectral measures have been used in material identification and discrimination. They are effective if the spectral signatures are calibrated and not contaminated. However, it may not be true in many real applications,...
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It is know that the adaptively regularized constrained total least squares (ARCTLS) outperforms the constrained total least squares (CTLS) or the regularized CTLS in image restoration. In this paper, a wavelet domain ...
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ISBN:
(纸本)0780386876
It is know that the adaptively regularized constrained total least squares (ARCTLS) outperforms the constrained total least squares (CTLS) or the regularized CTLS in image restoration. In this paper, a wavelet domain image restoration approach, using ARCTLS is presented. The degraded image is first decomposed into subband images by using a wavelet transform. The ARCTLS algorithm is then applied to each of the subband images. The proposed restoration method is simulated and compared with the conventional RCTLS and ARCTLS techniques. It is shown that the proposed method yields a better improved signal-to-noise ratio (SNR).
We present a wavelet-based image watermarking algorithm that is able to embed the watermark information into objects within an image. In the proposed algorithm, the zerotrees in the wavelet coefficient domain correspo...
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We present a wavelet-based image watermarking algorithm that is able to embed the watermark information into objects within an image. In the proposed algorithm, the zerotrees in the wavelet coefficient domain corresponding to the selected object(s) are identified. Then the watermark is embedded into the bandpass wavelet coefficients with large amplitudes within these zerotrees by using an appropriate quantization process. The bitmap of the zerotrees corresponding to the selected objects, the wavelet used for the transform, and the parameters for the transform and quantization are chosen as the keys for the proposed algorithm. The effectiveness of the proposed watermarking technique and its robustness against some commonly encountered image processing operations are demonstrated through simulation studies.
The nonlinear distortion of an acoustic signal caused by the nonlinearity of a power amplifier and/or loudspeaker may give rise to a nonlinear component in acoustic echo cancellation systems. A conventional acoustic e...
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ISBN:
(纸本)0780385608
The nonlinear distortion of an acoustic signal caused by the nonlinearity of a power amplifier and/or loudspeaker may give rise to a nonlinear component in acoustic echo cancellation systems. A conventional acoustic echo canceller (AEC) using linear adaptive filtering is not able to eliminate the nonlinear echo component to a satisfactory degree. In this paper, we present a nonlinear echo cancellation technique that uses a nonlinear transformation along with a regular linear adaptive filter for the compensation of the nonlinear echo component. A raised-cosine function is used to derive the nonlinear transformation and the parameters of the nonlinear compensator are updated to adapt to the nonlinearity of the unknown distorting path. The proposed method is simulated in conjunction with the conventional normalized least mean squared algorithm, showing a superior performance of the proposed acoustic echo canceller.
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