{"title":"An adaptive transform approach for image compression","authors":"L. Vandendorpe, B. Maison, F. Labeau","doi":"10.1109/DSPWS.1996.555455","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555455","url":null,"abstract":"A new transform/subband coding algorithm is proposed. Its original characteristic is that the transform operator is continuously updated during the encoding process on the base of previously decoded samples. Unlike other content based algorithms, no data overhead is implied and the method can be easily incorporated into most image compression schemes. Simulation results demonstrate that a substantial benefit can be derived from the method in the context of still image and video compression. We describe and justify an adaptation algorithm for fixed size orthogonal transforms suitable for video compression, showing how it can be applied to a particular class of time-varying filter banks, thereby eliminating the specific drawbacks of transform coding, while retaining the advantages of continuous adaptation.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122688207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A stable direct algorithm for image retrieval from its noisy Fourier transform phase","authors":"I.V. Lyuboshenko, A. M. Akhmetshin","doi":"10.1109/DSPWS.1996.555509","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555509","url":null,"abstract":"Owing to the essentially ill-posed nature of the problem of restoration of finite signals and images from their Fourier transform phases, the error in the phase results in large undesired fluctuations in the solution, obtained both by known iterative and direct approaches. The problem of restoration of images from their noisy Fourier transform phases is addressed in relation to the existing solution methods. A new regularizing algorithm is proposed that significantly improves the estimate of an image restored from its noisy phase.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122936710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wavelets in dynamics, optimal control and Galerkin approximations","authors":"A. Fedorova, M. Zeitlin","doi":"10.1109/DSPWS.1996.555548","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555548","url":null,"abstract":"We give the explicit time description of the following nonlinear (polynomial) problems: dynamics and optimal dynamics for some important electromechanical system, Galerkin approximation for beam equation, and detecting chaos in the Melnikov approach. We present the solution in a compactly supported wavelet basis. The solution is parameterized by solutions of two reduced algebraical problems, the first is nonlinear (polynomial), the second is a linear problem, which is obtained from one of the next wavelet construction: fast wavelet transform, stationary subdivision schemes, the method of connection coefficients.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121442029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Subband seismic data compression: optimization and evaluation","authors":"J. M. Lervik, T. Røsten, T. Ramstad","doi":"10.1109/DSPWS.1996.555461","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555461","url":null,"abstract":"A variable-length subband coder for seismic stack sections is presented. A parallel FIR filter bank is optimized to maximize the coding gain, while securing perfect reconstruction in the absence of quantization, assuming that the correlation properties of stack sections can be modelled by a separable autoregressive process. The entropy coding scheme, based on uniform quantization and dynamic arithmetic coder allocation, is optimized to maximize the rate distortion performance using a memoryless infinite Gaussian mixture distribution model for the subband signals. Comparison to a commercial wavelet based seismic coder shows that the proposed coder performs 30-70% better in terms of bit rate at a given signal-to-noise ratio. A paired comparison test verifies the superiority of the proposed subband coder, showing that the coder provides transparent visual quality at a compression ratio of 90:1.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115909083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correlation analysis of ultrasonic speckle for motion estimation","authors":"H.S. Bilge, M. Karaman","doi":"10.1109/DSPWS.1996.555498","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555498","url":null,"abstract":"Synthetic aperture techniques permit low-cost ultrasonic imaging systems, but are susceptible to motion artifacts. Motion compensation is crucial in imaging of non-stationary structures. In this study, correlation analysis of ultrasonic speckle signals for correlation based motion estimation is presented. Correlation measurements with different system parameters, such as the subaperture size, inter-firing distance and kernel size, are performed using experimental data acquired from a diffuse scattering phantom. The efficiency of the correlation based motion estimation is tested qualitatively on the phantom image.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117144998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spectral extrapolation in sub-band coding","authors":"C. Cafforio, E. Sciascio, C. Guaragnella","doi":"10.1109/DSPWS.1996.555448","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555448","url":null,"abstract":"We examine how feasible it is to extrapolate high-pass terms from the low-pass sub-image obtained by sub-band decomposition. Only very simple techniques like morphological filtering and contours extraction have been considered at this first stage, attempting to synthesize from the low-pass sub-image the attenuated transitions. The results point out that there is room for further investigation and improvements.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"8 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114122120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the exact recovery of higher-order moments of noisy signals","authors":"L. Cheded","doi":"10.1109/DSPWS.1996.555519","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555519","url":null,"abstract":"The importance of moments in science and engineering, as witnessed by the continuous and wide applicability of second-order moments (correlations) and the use of their higher-order brethren is clearly unquestionable. Due to the predominance of digital, rather than analogue, signal processing, it is of practical importance to investigate the impact of amplitude quantization on the exact recovery of unquantized moments from their quantized counterparts. We extend the results of Cheded (see IEEE ICASSP'95, p.1816-19, Detroit, USA) to the more general and interesting case where no a priori knowledge of the quantizer input's membership of the class L/sub p/ is available. We introduce a new moment-sense input/output function h/sub p/(x) that statistically characterizes the quantizer. Two new theorems are also stated that solve the exact moment recovery problem. Finally, two approaches to this problem are presented with some simulation results: based on a 1-bit quantizer, that substantiate very well the theory.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114807682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Noise tolerance of output-coded neural net","authors":"K. Al-Mashouq","doi":"10.1109/DSPWS.1996.555557","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555557","url":null,"abstract":"Error correcting codes were used previously to encode the output of feed-forward neural nets. We study the effect of additive noise on the performance of a coded net and compare it to an uncoded net. Some necessary analytical tools are developed to estimate the performance of a neural net in the presence of noise. Simulation examples (isolated word utterances recognition) are also included to show the advantage of coding in reducing the probability of classification error due to noise. In addition we point the use of the estimated performance as a lower limit to the performance of a multilayer neural net.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114752351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A distortion analysis of image VQ-based coding using a finite mixture distribution model","authors":"C. Natale, H. Cherifi","doi":"10.1109/DSPWS.1996.555512","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555512","url":null,"abstract":"Traditional coding schemes break an image into blocks prior to coding. It is possible to classify current algorithms according to the block construction. Either the block size is kept constant, or the block size is image dependent. Since most natural images can be divided into regions of high and low detail, variable block-size coding techniques exploit more efficiently the structure of the data. The superior performance of this scheme over fixed block ones has been observed experimentally. Rate-distortion analysis is carried out for compression systems using vector quantization. Using an appropriate model of the signal we derive analytical results that assess the superiority of variable block vector quantization algorithms.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127451506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A two-band linear-phase QMF lattice with an improved robustness to coefficient quantization","authors":"D. Pinchon, P. Siohan","doi":"10.1109/DSPWS.1996.555481","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555481","url":null,"abstract":"In this paper we examine the design problem of a new lattice structure for two-band perfect reconstruction filter banks with linear phase analysis and synthesis filters. The aim is to provide sets of lattice coefficients which are robust to quantization. Two complementary methods are presented which are key elements to derive low dynamic range solutions while satisfying given frequency specifications. The first possible technique is based on a rearrangement of the elementary blocks involved in the cascade structure, and the second is a sequential design method which, for given weighting factors related to the frequency specifications, leads to a minimal dynamic range of the lattice coefficients. Two design examples, illustrating each of these techniques, show quantisation results with a reduced number of bits which yield frequency results close to infinite precision solutions.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124848767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}