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Lossy coding techniques for high resolution images

Lossy coding techniques for high resolution images

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conference on image and signal processing for Remote Sensing IX

作者： Serra-Sagristà, J Fernández-Córdoba, C Aulí-Llinàs, F García-Vílchez, F Minguillón, J Univ Autonoma Barcelona Dept Comp Sci E-08193 Barcelona Spain

ISBN: (纸本)0819451215

High resolution images are nowadays a common source of data for many different applications;let us consider, for instance, hyperspectral images for remote sensing and geographic information systems. This kind of images allows for exhaustive analysis and provides good classification performance due to their high resolution (either bits per pixel, spatial, or spectral resolution). Nevertheless, this same high resolution, as well as their huge size, imposes a large demand of memory capability and channel bandwidth. To deal with this problem, lossy encoding of such images may be devised. Well known lossless and lossy image coding techniques have been used, but remote sensing and geographic information systems applications have some particular requirements that are not taken into account by the classical methods. There is therefore a need to investigate new approaches of image coding for these applications.

关键词： Lossy compression embedded encoding wavelet transform high resolution images hyperspectral images remote sensing geographic information systems

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Color image scalable coding with Matching Pursuit

Color image scalable coding with Matching Pursuit

引用

Proceedings - IEEE International conference on Acoustics, Speech, and signal processing

作者： Figueras i Ventura, Rosa M. Vandergheynst, Pierre Frossard, Pascal Cavallaro, Andrea Swiss Fed. Institute of Technology Signal Processing Institute Queen Mary University of London Department of Electronic Engineering

This paper presents a new scalable and highly flexible color image coder based on a Matching Pursuit expansion. The Matching Pursuit algorithm provides an intrinsically progressive stream and the proposed coder allows us to reconstruct color information from the first bit received. In order to efficiently capture edges in natural images, the dictionary of atoms is built by translation, rotation and anisotropic refinement of a wavelet-like mother function. This dictionary is moreover invariant under shifts and isotropic scaling, thus leading to very simple spatial resizing operations. This flexibility and adaptivity of the MP coder makes it appropriate for asymmetric applications with heterogeneous end user terminals.

关键词： image coding

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image fusion using the expectation-maximization algorithm and a hidden markov model

Image fusion using the expectation-maximization algorithm an...

引用

2004 IEEE 60th Vehicular Technology conference, VTC2004-Fall: Wireless Technologies for Global Security

作者： Yang, Jinzhong Blum, Rick S. ECE Department Lehigh University 19 Memorial Drive West Bethlehem PA 18015

A statistical signal processing approach to multisensor image fusion is presented. This approach is based on an image formation model in which the sensor images are described as the true scene corrupted by additive non-Gaussian distortion. A hidden Markov model (HMM) is fitted to the wavelet transforms of the sensor images to describe the correlations between the coefficients across wavelet decomposition scales. A set of iterative equations was developed using the expectation-maximization (EM) algorithm to estimate the model parameters and produce the fused images. We demonstrated the efficiency of this approach by applying this method to visual and radiometric images in concealed weapon detection (CWD) cases and night vision applications. © 2004 IEEE.

关键词： image processing

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Developing a cryptology algorithm by using wavelet Transform

Developing a cryptology algorithm by using Wavelet Transform

引用

Proceedings of the IEEE 12th signal processing and Communications applications conference, SIU 2004

作者： Küçük, Firat Küçük, Murat Şeker, Serhat Sakarya Üniversitesi Mühendislik Fakültesi Elektrik-Elektronik Müh. Böl.Sakarya Istanbul Teknik Üniversitesi Inşaat Fakültesi Inşaat Mühendisliǧi Bölümü Istanbul Teknik Üniv. Elektrik-Elektronik Fak. Elektrik Müh. Böl. 34469 Maslak/Istanbul

ISBN: (纸本)0780383184

Since II. World War, IT security and cryptology systems are getting important day by day. Beside DES and Triple DES of IBM Inc., RCX series of symmetric algorithms and MD5 variant HASH algorithms of RSA Inc. have widely used in cryptology research area. However, recent technology concepts such as faster microprocessors, nano-technology and quantum computers make the change inevitable. In the present study, wavelet Transform method, preferring signal processing and image compression areas, is used as data scrambling procedure. The results were compared by parameters such as reliability, algorithm speed. © 2004 IEEE.

关键词： Algorithms

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Monitoring of a sludge dewatering equipment by image classification

Monitoring of a sludge dewatering equipment by image classif...

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conference on wavelet applications in Industrial processing II

作者： de Souza, SM Grandvalet, Y Denoeux, T Univ Technol Compiegne Lab Heudiasyc F-60205 Compiegne France

ISBN: (纸本)0819455601

Belt filter presses represent an economical means to dewater the residual sludge generated in wastewater treatment plants. In order to assure maximal water removal, the raw sludge is mixed with a chemical conditioner prior to being fed into the belt filter press. When the conditioner is properly dosed, the sludge acquires a coarse texture, with space between flocs. This information was exploited for the development of a software sensor, where digital images are the input signal, and the output is a numeric value proportional to the dewatered sludge dry content. Three families of features were used to characterize the textures. Gabor filtering, wavelet decomposition and co-occurrence matrix computation were the techniques used. A database of images, ordered by their corresponding dry contents, was used to calibrate the model that calculates the sensor output. The images were separated in groups that correspond to single experimental sessions. With the calibrated model, all images were correctly ranked within an experiment session. The results were very similar regardless of the family of features used. The output can be fed to a control system, or, in the case of fixed experiment conditions, it can be used to directly estimate the dewatered sludge dry content.

关键词： Gabor filters co-occurrence matrix wavelet transform texture analysis belt filter press residual sludge sludge dewatering software sensor wastewater treatment

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Performance evaluation of wavelet transform algorithm on star graph connected multiprocessor systems

Performance evaluation of wavelet transform algorithm on sta...

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Proceedings of the 16th IASTED International conference on Parallel and Distributed Computing and Systems

作者： Das, B.K. ITR Chandipur India

wavelet Transform has attracted much of the research attention for its ability to analyse rapidly changing transient signals. Any application using the Fourier Transform can be formulated using wavelet Transform. Like Fourier Analysis, wavelet Analysis deals with expansion of functions in terms of a set of Basis Functions. But unlike Fourier Transform, wavelet Transform expands the functions in terms of wavelets, which are generated by translation and dilation of a fixed function called the Mother wavelet. The wavelets obtained in this way have got special scaling properties. These have got incredible versatility of applications in pattern recognition, transient signal analysis and image processing. The present work deals with the mathematical formulation of wavelet Transform Algorithm and design of its signal flow graph. The flow graph has been designed keeping in view its application to the parallel processing domain. The mathematical treatment of the wavelet Transform Algorithm has been carried out for Filter Analysis. The computational complexity has been estimated in single processor environment. The paper has made an attempt to formalise the wavelet Transform for Parallel processing Environment. In this paper, the flow graph of the wavelet Transform has been analysed and modelled on Star Graph Architecture. The decomposition and ordering has been computed for efficient execution of the algorithm. The necessary theory has been developed for mapping the Task Assignment Graph to the processing Nodes of Star Graph. The general mathematical formulation has been generated for a varying complexity wavelet with a variable node Star Graph. Various performance parameters like Speedup, Efficiency and Cost Effectiveness have been computed. The results are given as various closed form formulae.

关键词： Multiprocessing systems

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Implementation of wavelet decomposition and reconstruction for an image using TMS320C6701

Implementation of wavelet decomposition and reconstruction f...

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ASEE 2004 Annual conference and Exposition, "Engineering Researchs New Heights"

作者： Leung, Chung S. Kulkarni, Sunil Electrical Engineering Department Texas A and M University-Kingsville Kingsville TX 78363

The discrete wavelet transform provides sufficient information both for analysis and synthesis of the original image with a significant reduction in the computation time. There are two approaches for working on the above algorithm, one being by using two dimensional filters and the other one by using separable transforms that can be implemented using one-dimensional filter on the rows first and then on the columns. In this research, we have implemented wavelet decomposition and reconstruction-using one-dimensional transform applied on the rows first and then the columns. For an N×M image size, we filter each row and then columns withr the analysis pair of low-pass and high-pass filters and down sample successively to obtain four bands after decomposition. Later during image reconstruction, we up sample and filter each column and then rows with pair of synthesis low pass and high pass filters to obtain the original image size. This algorithm has been implemented in real-time by using the floating-point processor TMS320C6701 chip manufactured by Texas Instruments (TI) that is widely used for image processing applications. The wavelet transform has become the most powerful tool for still image analysis. Yet there are many, parameters within a wavelet analysis and synthesis that govern the quality of the image. In this paper, we discuss the wavelet decomposition and reconstruction strategies for a two-dimensional signal and their implications on the reconstruction of the image. A pool of grey scale image has been wavelet transformed using a set of bi-orthogonal filters (wavelet filter bank) that undergoes the decomposition and reconstruction process.

关键词： image reconstruction

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Shiftability and filter bank design using Morlet wavelet

Shiftability and filter bank design using Morlet Wavelet

引用

XXIV International conference of the Chilean Computer Science Society, SCCC 2004

作者： Hernández, Gonzalo Reusch, Bernd Mendoza, Marcelo Salinas, Luis Informatics Department Technical University Federico Santa María Av. España 1680 Casilla 110-V Valparaíso Computer Science Department Dortmund Universität Otto-Hahn-Str. 16 44227 Dortmund Computer Science Department Valparaíso University Av. Gran Bretaña 1091 Playa Ancha Valparaíso

A multi-resolution representation through wavelet transform has proved to be beneficial for many signal processing applications. For example, Morlet wavelet has shown good performance in tasks like audio coding and image enhancement. Unfortunately, wavelet transforms are unstable when the input signal is shifted in position. Prior works formalize this problem by defining a type of translation invariance called shiftability. Shiftability constraint is equivalent to the constraint that the response power of the transform in the sub-band is preserved with respect to translations of the input signal. In this paper, we propose constraints for filter bank design that guarantee shiftability. Also, we use the proposed constraints to design a filter bank that implements the Morlet wavelet transform. We use the Morlet wavelet based on the fact that it has good properties in joint time-frequency localization and it has shown approximate shiftability. The filter bank proposed presents good results with respect to shiftability. © 2004 IEEE.

关键词： wavelet transforms

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Rate-distortion-complexity adaptive video compression and streaming

Rate-distortion-complexity adaptive video compression and st...

引用

2004 International conference on image processing, ICIP 2004

作者： Van Der Schaar, Mihaela Turaga, Deepak Akella, Venkatesh Department of Electrical and Computer Engineering University of California Davis United States Sony Electronics San Jose United States

ISBN: (纸本)0780385543

In this paper, we discuss the benefits of complexity-driven streaming and define a realistic Rate-Complexity-Distortion framework that can assist multimedia streaming systems. We show an illustrative example for the modeling of the decoding complexity of state-of-the-art motion-compensated wavelet coding schemes. We also present a concrete system that uses these complexity metrics, which can help us quantify the performance that can be gained for multimedia streaming applications by considering complexity constraints and architectural features. Finally, we show results obtained using the proposed complexity-driven streaming architecture. ©2004 IEEE.

关键词： Video signal processing

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Error-resilient video coding performance analysis of motion JPEG 2000 and MPEG-4

Error-resilient video coding performance analysis of motion ...

引用

conference on Visual Communications and image processing 2004

作者： Dufaux, F Ebrahimi, T Swiss Fed Inst Technol Signal Proc Inst Lausanne Switzerland

ISBN: (纸本)0819452114

The new Motion JPEG 2000 standard is providing with some compelling features. It is based on an intra-frame wavelet coding. which makes it very well suited for wireless applications. Indeed, the state-of-the-art wavelet coding scheme achieves very high coding efficiency. In addition, Motion JPEG 2000 is very resilient to transmission errors as frames are coded independently (intra coding). Furthermore, it requires low complexity and introduces minimal coding delay. Finally, it supports very efficient scalability. In this paper, we analyze the performance of Motion JPEG 2000 in error-prone transmission. We compare it to the well-known MPEG-4 video coding scheme, in terms of coding efficiency, error resilience and complexity. We present experimental results which show that Motion JPEG 2000 outperforms MPEG-4 in the presence of transmission errors.

关键词： JPEG2000 Video wavelets Video coding Computer programming Error analysis image compression Motion analysis Video compression Standards development

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