The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code b...
详细信息
ISBN:
(纸本)1424414377
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code based distributed video coding;encoder rate control for transform domain Wyner-Ziv video coding;image authentication based on distributed source coding;codec-independent scalable distributed video coding;a novel image re-indexing by self organizing motor maps;multichannel image decomposition by using pseudo-linear Haar wavelets;a feature analysis approach to mass detection in mammography based on RF-SVM;time reversal beamforming for microwave breast cancer detection;automatic quality analysis for film and video restoration;unscented kalman filter for image estimation in film-grain noise;detection and recovery of film dirt for archive restoration applications;and restoration of variable area soundtracks.
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code b...
详细信息
ISBN:
(纸本)1424414377
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code based distributed video coding;encoder rate control for transform domain Wyner-Ziv video coding;image authentication based on distributed source coding;codec-independent scalable distributed video coding;a novel image re-indexing by self organizing motor maps;multichannel image decomposition by using pseudo-linear Haar wavelets;a feature analysis approach to mass detection in mammography based on RF-SVM;time reversal beamforming for microwave breast cancer detection;automatic quality analysis for film and video restoration;unscented kalman filter for image estimation in film-grain noise;detection and recovery of film dirt for archive restoration applications;and restoration of variable area soundtracks.
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code b...
详细信息
ISBN:
(纸本)1424414377
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code based distributed video coding;encoder rate control for transform domain Wyner-Ziv video coding;image authentication based on distributed source coding;codec-independent scalable distributed video coding;a novel image re-indexing by self organizing motor maps;multichannel image decomposition by using pseudo-linear Haar wavelets;a feature analysis approach to mass detection in mammography based on RF-SVM;time reversal beamforming for microwave breast cancer detection;automatic quality analysis for film and video restoration;unscented kalman filter for image estimation in film-grain noise;detection and recovery of film dirt for archive restoration applications;and restoration of variable area soundtracks.
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code b...
详细信息
ISBN:
(纸本)1424414377
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code based distributed video coding;encoder rate control for transform domain Wyner-Ziv video coding;image authentication based on distributed source coding;codec-independent scalable distributed video coding;a novel image re-indexing by self organizing motor maps;multichannel image decomposition by using pseudo-linear Haar wavelets;a feature analysis approach to mass detection in mammography based on RF-SVM;time reversal beamforming for microwave breast cancer detection;automatic quality analysis for film and video restoration;unscented kalman filter for image estimation in film-grain noise;detection and recovery of film dirt for archive restoration applications;and restoration of variable area soundtracks.
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code b...
详细信息
ISBN:
(纸本)1424414377
The proceedings contain 841 papers. The topics discussed include: scalable coding of high dynamic range video;bit-depth scalable video coding;the super hi-vision codec;inverse bit plane decoding order for turbo code based distributed video coding;encoder rate control for transform domain Wyner-Ziv video coding;image authentication based on distributed source coding;codec-independent scalable distributed video coding;a novel image re-indexing by self organizing motor maps;multichannel image decomposition by using pseudo-linear Haar wavelets;a feature analysis approach to mass detection in mammography based on RF-SVM;time reversal beamforming for microwave breast cancer detection;automatic quality analysis for film and video restoration;unscented kalman filter for image estimation in film-grain noise;detection and recovery of film dirt for archive restoration applications;and restoration of variable area soundtracks.
Nowadays multichannel (multi and hyperspectral) remote sensing (RS) is widely used in different areas. One of the basic factors that can deteriorate original image quality and prevent retrieval of useful information f...
详细信息
ISBN:
(纸本)0819463949
Nowadays multichannel (multi and hyperspectral) remote sensing (RS) is widely used in different areas. One of the basic factors that can deteriorate original image quality and prevent retrieval of useful information from RS data is noise. Thus, image filtering is a typical stage of multichannel image pre-processing. Among known filters, the most efficient ones commonly require a priori information concerning noise type and its statistical characteristics. This explains a great need in automatic (blind) methods for determination of noise type and its characteristics. Several such methods already exist, but majority of them do not perform appropriately well if analyzed images contain a large percentage of texture regions, details and edges. Besides, many blind methods are multistage where some preliminary and appropriately accurate estimate of noise variance is required for next stages. To get around aforementioned shortcomings, below we propose a new method based on using inter-quantile distance and its minimization for obtaining appropriately accurate estimates of noise variance. It is shown that mathematically this task can be formulated as finding a mode of contaminated asymmetric distribution. And this task can be met for other applications. The efficiency of the proposed method is studied for a wide set of model distribution parameters. Numerical simulation results that confirm applicability of the proposed approach are presented. They also allow evaluating the designed method accuracy. Recommendations on method parameter selection are given.
For nonseparable bidimensional wavelet transforms, the choice of the dilation matrix is all-important, since it governs the downsampling and upsampling steps, determines the cosets that give the positions of the filte...
详细信息
ISBN:
(纸本)3540446303
For nonseparable bidimensional wavelet transforms, the choice of the dilation matrix is all-important, since it governs the downsampling and upsampling steps, determines the cosets that give the positions of the filters, and defines the elementary set that gives a tesselation of the plane. We introduce nonseparable bidimensional wavelets, and give formulae for the analysis and synthesis of images. We analyze several dilation matrices, and show how the wavelet transform operates visually. We also show some distorsions produced by some of these matrices. We show that the requirement of their eigenvalues being greater than 1 in absolute value is not enough to guarantee their suitability for imageprocessingapplications, and discuss other conditions.
In magnetic resonance (MR) imaging, there is a tradeoff between the spatial resolution, temporal resolution and signal to noise ratio (SNR). MR images usually suffer from low SNR and low resolutions. In order to make ...
详细信息
ISBN:
(纸本)0819464236
In magnetic resonance (MR) imaging, there is a tradeoff between the spatial resolution, temporal resolution and signal to noise ratio (SNR). MR images usually suffer from low SNR and low resolutions. In order to make it practical for MR imaging with higher resolutions as well as sufficient SNR, it is necessary to reduce noise efficiently while preserving important image features. In this paper, we propose to use the wavelet-based multiscale level-set curve evolution algorithm to reduce noise for MR imaging. Experimental results demonstrate that this denoising algorithm can significantly improve the SNR and contrast to noise ratio (CNR) for MR images while preserving edges with good visual quality. The denoising results indicate that in MR imaging applications, we can almost doubly improve the temporal resolution or improve the spatial resolution while achieving sufficient SNR, CNR, and satisfactory image quality.
Multi-scale transforms have got a lot of applications in imageprocessing, in recent years. Wavelet transform is a powerful multiscale transform for denoising noisy signals and images, but the usual two-dimensional se...
详细信息
ISBN:
(纸本)0819464236
Multi-scale transforms have got a lot of applications in imageprocessing, in recent years. Wavelet transform is a powerful multiscale transform for denoising noisy signals and images, but the usual two-dimensional separable wavelets are sub-optimal. These separable wavelet transforms can successfully identify zero dimensional singularities in images, but can weakly identify one dimensional singularities such as edges, curves and lines. In this sense, non-separable transforms such as Ridgelet and Curvelet transforms are proposed by Candes and Donoho. The coefficients produced by these non-separable transforms have shown to be sparser than wavelet coefficients. This fact results in better denoising capabilities than wavelet transform. These new non-separable transforms can identify direction in lines and curves, because of special structure of their basis elements. Basically, Magnetic Resonance images are probable to have Rician noise. In some special cases, this kind of noise can be supposed to be white Gaussian noise. In this paper, a new method for denoising MR images is proposed. This method is based on Monoscale Ridgelet transform. It is shown that this transform can successfully denoise MR images embedded in white Gaussian noise. The results are better in comparison with usual wavelet denoising methods, based on both visual perception and signal-to-noise ratio.
We present the experimental evidence of spatial coherence moiré, produced by the superposition of uncorrelated spatial coherence wavelets. We show that it can be modulated using a procedure called filtering of cl...
详细信息
暂无评论