Blind equalisation of an FIR multi-input multi-output channel system is an important task for numerous applications such as speech separation, de-reverberation, communication, signalprocessing and control, etc. In th...
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Blind equalisation of an FIR multi-input multi-output channel system is an important task for numerous applications such as speech separation, de-reverberation, communication, signalprocessing and control, etc. In this paper, a cost function with the knowledge of correlation is reconstructed and a new online algorithm derived with a natural gradient search method for blind source separation of convolutional mixtures. Its implementation is simple and practical. Furthermore, the equivariance property is possessed by the algorithm. Simulations indicate the ability of the algorithm to perform blind equalisation under the weaker condition (the FIR system is equalisable) and also to make speech separation and de-reverberation simultaneous.
This paper presents a review on Time-frequency, Time-scale and Scale-frequency domain signal analysis. The distinctive features of these techniques are discussed with respect to the decomposition of a signal at differ...
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This paper presents a review on Time-frequency, Time-scale and Scale-frequency domain signal analysis. The distinctive features of these techniques are discussed with respect to the decomposition of a signal at different resolutions. The concept of "Time-frequency", "Time-scale" and "Scale-frequency" analysis of a signal has been explained. Some examples are presented to reveal the suitability of these techniques. The main thrust is to focus the use of these techniques for different digital signal and imageprocessingapplications.
This paper presents new,developments of directional filterbanks (DFBs). The motivation for the paper is the existence of multiresolution and multidirection orthogonal transform for two-dimensional (2-D) discrete signa...
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This paper presents new,developments of directional filterbanks (DFBs). The motivation for the paper is the existence of multiresolution and multidirection orthogonal transform for two-dimensional (2-D) discrete signals. Based on the frequency supports of the ideal transform, a new uniformly, maximally decimated DFB with six highpass directional subbands and two lowpass subands is introduced. The uniform DFB (uDFB) can be implemented by a binary tree structure of two-channel filterbanks. The filterbank employed in the tree is shown to be alias-free decimation and permissible. The uDFB is then extended to a nonuniform case (nuDFB), which is still maximally decimated, by combining the two lowpass subbands. The nuDFB yields nonuniform frequency division, which composes of one lowpass filter with a decimation factor of one fourth and six highpass directional filters with a decimation factor of one eighth. The new DFBs offer alternative image decompositions, which overcome the limited directional selectivity of the separable wavelets and the limited multiresolution of the conventional DFB. The lowpass subband of the nuDFB can be used to obtain a multiresolution representation by simply reiterating the same nuDFB decomposition. On the other hand, the directional subbands can also be further refined by simply applying a two-channel conventional DFB at each highpass component. A simple design method yielding near orthogonal uniform and nonuniform multidimensional filterbanks is presented. Finally, the performances of the newly proposed nuDFB are compared with other conventional transforms in nonlinear approximation, image denoising, and texture classification to demonstrate its potential.
Most colour watermarking methods are realised by modifying the image luminance or by processing each component of colour space separately. This paper presents a novel and robust colour watermarking approach for applic...
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Most colour watermarking methods are realised by modifying the image luminance or by processing each component of colour space separately. This paper presents a novel and robust colour watermarking approach for applications in copy protection and digital archives. The proposed scheme considers chrominance information that can be utilised at information embedding. This work presents an approach for hiding the watermark into DC components of the colour image directly in the spatial domain, followed by a saturation adjustment technique performed in RGB space. The merit of the proposed approach is that it not only provides promising watermarking performance but also is computationally efficient. Experimental results demonstrate that this scheme successfully makes the watermark perceptually invisible and robust to imageprocessing operations such as general imageprocessing operations (JPEG2000, JPEG-loss compression, lowpass filtering, and medium filtering), image scaling and image cropping.
For stereo vision applications, projective geometry has proved to be a useful tool for solving the rectification problem without camera calibration. However, the criterion of minimisation for projective rectification ...
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For stereo vision applications, projective geometry has proved to be a useful tool for solving the rectification problem without camera calibration. However, the criterion of minimisation for projective rectification must be chosen properly in order to avoid unduly geometric distortion. In this paper, an improved algorithm to minimise the distortion by combining a newly developed projective transform with a properly chosen shearing transform is proposed. The emphasis on low geometric distortion makes this method not only appropriate for 3-D reconstruction but also for stereoscopic viewing applications. On the basis of relative modification, this new method contains fewer parameters (6 degrees of freedom) for minimisation, which reduces the processing time, and improves the rectification result. Several different types of image pairs were tested to demonstrate the applicability and reliability of the proposed algorithm visually and quantitatively. Comparisons with other methods are also provided to verify the improvement of this new scheme.
Today's digital signalprocessing (DSP) applications use computationally complex and/or adaptive algorithms and have stringent requirements in terms of speed size cost power consumption and throughput. Efficient h...
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In the literature 2D (or bivariate) wavelets are usually constructed as a tensor product of ID wavelets. Such wavelets are called separable. However, there are various applications, e.g. in imageprocessing, for which...
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In the literature 2D (or bivariate) wavelets are usually constructed as a tensor product of ID wavelets. Such wavelets are called separable. However, there are various applications, e.g. in imageprocessing, for which non-sepaxable 2D wavelets are prefered. In this paper, we investigate the class of compactly supported orthonormal 2D wavelets that was introduced by Belogay and Wang.(2) A characteristic feature of this class of wavelets is that the support of the corresponding filter comprises only two rows. We axe concerned with the biorthogonal extension of this kind of wavelets. It turns out that the 2D wavelets in this class are intimately related to some underlying ID wavelet. We explore this relation in detail, and we explain how the 2D wavelet transforms can be realized by means of a lifting scheme, thus allowing an efficient implementation. We also describe an easy way to construct wavelets with more rows and shorter columns.
We introduce new methods for construction and implementation of various parametric and hybrid orthogonal transforms, including generalized Haar-like, Daubechies, and Coiflet wavelet transforms. The corresponding fast ...
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We introduce new methods for construction and implementation of various parametric and hybrid orthogonal transforms, including generalized Haar-like, Daubechies, and Coiflet wavelet transforms. The corresponding fast algorithms of computations are briefly discussed and the variance properties of these transforms in analyzing 1-st order Markov processes are investigated. The designed hybrid transforms can be useful in various specific signalprocessingapplications where combining properties of Hadamard and wavelet transforms may be of particular benefit. We also present some numerical results pertaining to image zonal and threshold coding using these hybrid transforms and compare their efficacy with those of traditional orthogonal transforms.
Endovascular therapy describes a class of minimally invasive treatments for certain vascular diseases, including the placement of stents to correct arterial stenoses, and the administration of intra-arterial thromboly...
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Endovascular therapy describes a class of minimally invasive treatments for certain vascular diseases, including the placement of stents to correct arterial stenoses, and the administration of intra-arterial thrombolysis for ischemic stroke. Our objective is to develop a real-time system to guide interventional endovascular procedures with MR imaging. Our approach in developing this system is to mimic, where appropriate and possible, the functionality of current clinical x-ray fluoroscopy systems. Our endovascular MR system is comprised of two major components: a data acquisition module and an image reconstruction module. Data acquisition was performed using a 3-tesla MR scanner (Signa VH/i; General Electric Healthcare; Waukesha, WI). image reconstruction was performed on a separate dedicated workstation (2.2-GHz Athlon processor-equipped workstation running Windows xP). We achieved catheter visualization by filling catheters with MR contrast and imaging using a multi-cycle projection dephaser to suppress the background signal. We used image-processing filters available in the VTK library to isolate the catheter in the background-suppressed images. The output of this image-filtering pipeline was then used as a mask for an anatomical roadmap image. The image fusion process described herein has successfully been used to combine background-suppressed in vivo images of a catheter with anatomical roadmap images. The fusion process removed most of the noise and residual background signal from the background-suppressed image, leaving the catheter with improved conspicuity. Our endovascular MR system functions in a similar manner to x-ray fluoroscopic systems and has applications in the treatment of stroke and other vascular diseases.
Interest in multiresolution techniques for imageprocessing and coding is increasing steadily. An attractive instance is pyramid decomposition schemes due to their low computational complexity, simple parallel impleme...
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Interest in multiresolution techniques for imageprocessing and coding is increasing steadily. An attractive instance is pyramid decomposition schemes due to their low computational complexity, simple parallel implementation, and ability to produce acceptable color images at moderate data rates. We present an approach combining a modified pyramidal algorithm and mathematical morphology for color image coding applications denoted as the adaptive morphological pyramid coding (AMPC) algorithm. The proposed AMPC pyramidal strategy involves (1) building a multilevel pyramid based on a developed adaptive morphological filter that preserves the significant details (without shape bias) and does not require very high computational cost, and then (2) the resulting pyramid levels (images) are applied to suitable coding techniques including an adaptive 3-D vector quantization (AVQ). The proposed technique gives an average peak SNR (PSNP) in the range 46.78 to 50.7 dB when no additional coding is applied. When AVQ and differential pulse code modulation (DPCM) are applied to the pyramid levels an average PSNP varies in the range 22.2 to 37.8 dB) at bit rates in the range 0.07 to 1.51 bpp is obtained. When compared with JPEG/JPEG2000, embedded zero-tree wavelet (EZW) coding and set partition in hierarchical trees (SPIHT), the proposed algorithm provides comparable reconstruction quality. (c) 2005 SPIE and IS&T.
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