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Bi-orthogonal filter banks with directional vanishing moments [image representation applications]

Bi-orthogonal filter banks with directional vanishing moment...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： A.L. da Cunha M.N. Do Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign Urbana-Champaign IL USA

In this paper we study 2D nonseparable filter banks that annihilate information along a certain discrete direction. This is done by having filters with directional vanishing moments (DVM). We study the approximation property of such filters and the design problem providing conditions for its solvability. In particular, we completely characterize the solution and propose a design procedure utilizing the mapping technique. Nonlinear approximation experiments with the contourlet transform indicate that compared with the traditional filters, the new filters designed with DVM provide gains in SNR and visual quality due to their short size.

关键词： Channel bank filters Filter bank wavelet transforms image representation image recognition Geometry Tree data structures Frequency Information filtering Information filters

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High capacity watermarking using balanced multiwavelet transforms

High capacity watermarking using balanced multiwavelet trans...

引用

IEEE International conference on image processing

作者： L. Ghouti A. Bouridane S. Boussakta Department of Information and Computer Science King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia School of Computer Science Queen''s University Belfast UK School of Electronic and Electrical Engineering University of Leeds UK

The emergence of digital multimedia and the proliferation of its use have raised major concerns about the protection of intellectual property. In response to these concerns, digital watermarks have emerged as a possible solution for protecting the intellectual property of digital content. In this paper, we derive estimates of data-hiding capacity of balanced multiwavelet transforms. This class of transforms, relatively new, has useful properties for image processing applications as shown in this paper. Furthermore, we investigate the relevance of two closely related statistical models, developed for scalar wavelets, for modeling the statistics of balanced multiwavelet transform coefficients. Finally, we present performance results of a spread spectrum watermarking system that is based on this new transform.

关键词： Watermarking Protection Intellectual property image processing wavelet transforms Spread spectrum communication image coding signal processing Computer science Statistical distributions

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Summation invariant and its applications to shape recognition

Summation invariant and its applications to shape recognitio...

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International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Wei-Yang Lin N. Boston Yu Hen Hu Department of Electrical and Computer Engineering University of Wisconsin Madison WI USA

A novel summation invariant of curves under transformation group action is proposed. This new invariant is less sensitive to noise than the differential invariant and does not require an analytical expression for the curve as the integral invariant does. We exploit this summation invariant to define a shape descriptor called a semi-local summation invariant and use it as a new feature for shape recognition. Tested on a database of noisy shapes of fish, it was observed that the summation invariant feature exhibited superior discriminating power compared to that of wavelet-based invariant features.

关键词： Application software Noise shaping Marine animals Shape measurement Testing image databases Spatial databases Computer vision Neural networks Equations

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On the structure of 2-channel paraunitary finite field multirate filter banks

On the structure of 2-channel paraunitary finite field multi...

引用

European conference on Circuit Theory and Design, ECCTD

作者： C.M. Lucey C.C. Murphy Department of Elec Engineering University College Cork Ireland

Finite field multirate filter banks can be used to implement the finite field wavelet transform. The finite field wavelet transform has recently found applications in lossless image compression, error control coding and cryptography. Over the real field the polyphase form of the paraunitary multirate filter bank can be factored into lattice structures to reduce implementation complexity. Here we examine the factorisation of the paraunitary polyphase matrix over finite fields of characteristic two, i.e. (GF(2/sup r/)), and identify further improvements when compared to a direct polyphase implementation. Implementation complexity in terms of MPUs and APUs is examined.

关键词： Galois fields Channel bank filters Filter bank Lattices wavelet transforms Finite impulse response filter image coding Error correction Cryptography signal processing

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Memory analysis and throughput enhancement for cost effective bit-plane coder in JPEG2000 applications

Memory analysis and throughput enhancement for cost effectiv...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Lien-Fei Chen Tai-Lun Huang Yeong-Kang Lai Department of Electrical Engineering National Chung Hsing University Taiwan

ISBN: (纸本)0780388747

A cost effective bit-plane coder with throughput enhancement in JPEG2000 applications is proposed. Many papers and the results of chip implementation show that memory requirement dominates the hardware cost of the bit-plane coder. In order to reduce the memory size, a memory-free algorithm is proposed to eliminate state variable memories by calculating three coding state variables (/spl gamma//sub p+1/[n], /spl sigma//sub p+1/[n], and /spl pi//sub p/[n]) on the fly. We also propose a stripe-column-based pass-parallel operation to perform three coding passes in pipeline operation and to encode four samples within the stripe-column concurrently for the high throughput requirement. Experimental results show that the hardware cost and memory size of the proposed architecture is smaller than other existing architectures because of the proposed memory-free algorithm. Furthermore, the proposed architecture has 3 times greater throughput than other familiar architectures.

关键词： Throughput Costs Hardware Discrete wavelet transforms IEC standards ISO standards Pipelines Standards development image coding Entropy coding

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wavelets in industrial applications: a review

Wavelets in industrial applications: a review

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conference on wavelet applications in Industrial processing II

作者： Truchetet, F Laligant, O Univ Bourgogne F-21004 Dijon France

ISBN: (纸本)0819455601

This paper aims at reviewing the recent published works dealing with industrial applications of wavelet and, more generally speaking, multiresolution analysis. After a quick recall in a simple overview of the basics of wavelet transform and of its main variations, some of its applications are reviewed domain by domain, beginning with signal processing, continuous and discrete wavelet transform proceeding with image processing and applications. More than 150 recent papers are presented in these two sections.

关键词： wavelets wavelet transforms signal processing Discrete wavelet transforms image compression image processing Analytical research Feature extraction Statistical analysis Video compression

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image denoising using neighbouring wavelet coefficients

Image denoising using neighbouring wavelet coefficients

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IEEE International conference on Acoustics, Speech, and signal processing

作者： Chen, GY Bui, TD Krzyzak, A Concordia Univ Dept Comp Sci Montreal PQ H3G 1M8 Canada

The denoising of a natural image corrupted by Gaussian noise is a classical problem in signal or image processing. Donoho and his coworkers at Stanford pioneered a wavelet denoising scheme by thresholding the wavelet coefficients arising from the standard discrete wavelet transform. This work has been widely used in science and engineering applications. However, this denoising scheme tends to kill too many wavelet coefficients that might contain useful image information. In this paper, we propose one wavelet image thresholding scheme by incorporating neighbouring coefficients, namely NeighShrink. This approach is valid because a large wavelet coefficient will probably have large wavelet coefficients as its neighbours. Experimental results show that NeighShrink is better than the Wiener filter and the conventional wavelet denoising approaches: VisuShrink and SUREShrink. We also investigate different neighbourhood sizes and find that a size of 3 x 3 is the best among all window sizes.

关键词： image processing

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The fast parametric slantlet transform with applications

The fast parametric slantlet transform with applications

引用

conference on image processing - Algorithms and Systems III

作者： Agaian, S Tourshan, K Noonan, JP Univ Texas Coll Engn Dept Elect & Comp Engn San Antonio TX 78249 USA

ISBN: (纸本)0819452017

Transform methods have played an important role in signal and image processing applications. Recently, Selesnick has constructed the new orthogonal discrete wavelet transform, called the slantlet wavelet, with two zero moments and with improved time localization. The discrete slantlet wavelet transform is carried out by an existing filterbank which lacks a tree structure and has a complexity problem. The slantlet wavelet has been successfully applied in compression and denoising. In this paper, we present a new class of orthogonal parametric fast Haar slantlet transform system where the slantlet wavelet and Haar transforms are special cases of it. We propose designing the slantlet wavelet transform using Haar slantlet transform matrix. A new class of parametric filterbanks is developed. The behavior of the parametric Haar slantlet transforms in signal and image denoising is presented. We show that the new technique performs better than the slantlet wavelet transform in denoising for piecewise constant signals. We also show that the parametric Haar slantlet transform performs better than the cosine and Fourier transforms for grey level images.

关键词： parametric slantlet transform image/signal denoising

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applications of wavelet transform in medical image processing

Applications of wavelet transform in medical image processin...

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Proceedings of 2004 International conference on Machine Learning and Cybernetics

作者： Tian, Da-Zeng Ha, Ming-Hu Fac. of Math. and Computer Science Hebei University Baoding 071002

ISBN: (纸本)0780384032

The wavelet transform and inverse transform algorithm are introduced. The medical image plays an important role in clinical diagnosis and therapy of doctor and teaching and researching. This paper gives reviews of some applications in medical image with wavelet, such as ECG signal processing, EEG signal processing, medical image compression, medical image reinforcing and edge detection, medical image register. With the further development of wavelet theory, wavelet transform will be widely applied to the domain of medical image.

关键词： Medical imaging

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A multiscale fragile watermark based on the Gaussian mixture model in the wavelet domain

A multiscale fragile watermark based on the Gaussian mixture...

引用

IEEE International conference on Acoustics, Speech, and signal processing

作者： Yuan, H Zhang, XP Ryerson Univ Dept Elect & Comp Engn 350 Victoria St Toronto ON M5B 2K3 Canada

The wavelet coefficients in 2-D discrete wavelet transform (DWT) subspaces have a peaky, heavy-tailed marginal distribution that can be well described by a Gaussian mixture statistical model. In this paper, a multiscale implementation of fragile watermarks based on the Gaussian mixture model is presented. The presented new method can embed a message bit stream, such as personal signatures or copyright logos, into a host image. With the embedded message bits spreading over the whole image area, the new method can detect and localize any image tampering since it will inevitably destroy a certain message bits. Compared with some other fragile watermark techniques, the statistical model based method modifies only a very small amount of image data to embed watermarks and the modification is hardly perceived by human vision because it occurs at texture edges. Besides, the multiscale implementation of fragile watermarks based on the presented method can help distinguish some normal image operations such as compression from malicious attacks, which is meaningful in terms of semi-fragile watermarking applications.

关键词： Digital watermarking

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