{"title":"A multi-scale approach for seismic tomography","authors":"Bin Wang, L. Braile","doi":"10.1109/ICIP.1996.560978","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560978","url":null,"abstract":"The goal of seismic tomography is to derive a velocity model. In this paper, we describe a multi-scale approach which iteratively derives a velocity model. In the early stage of the iterative process, we apply large smoothing constraints to derive the large scale features of the velocity model. As the data misfit reduces, we gradually reduce the smoothing constraints, adding finer details to the derived model. The key component of our approach is effective control of the smoothness of a derived model. To achieve this, we have developed a new implementation of smoothing constraints based on stochastic inversion. For a discrete and uniformly gridded model, it can be shown that our new implementation based on the stochastic inversion is equivalent to the conventional implementation based on the regularization method.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132669343","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":"Perceptual adaptive JPEG coding","authors":"R. Rosenholtz, A. Watson","doi":"10.1109/ICIP.1996.559645","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559645","url":null,"abstract":"An extension to the JPEG standard (ISO/IEC DIS 10918-3) allows spatial adaptive coding of still images. As with baseline JPEG coding, one quantization matrix applies to an entire image channel, but in addition the user may specify a multiplier for each 8/spl times/8 block, which multiplies the quantization matrix, yielding the new matrix for that block. MPEG 1 and 2 use much the same scheme, except there the multiplier changes only on macroblock boundaries. We propose a method for perceptual optimization of the set of multipliers. We compute the perceptual error for each block based upon the DCT quantization error adjusted according to the contrast sensitivity, light adaptation, and contrast masking, and pick the set of multipliers which yield maximally flat perceptual error over the blocks of the image. We investigate the bit rate savings due to this adaptive coding scheme and the relative importance of the different sorts of masking on adaptive coding.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699655","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":"Evaluation of an iterative algorithm for three dimensional X-ray cone beam reconstruction","authors":"J. G. Donaire, Javier Roca Piera, I. García","doi":"10.1109/ICIP.1996.560560","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560560","url":null,"abstract":"This article is concerned with the use of iterative methods for image reconstruction from projections in 3D cone beam emission tomography. It is aimed at the analysis of some of the parameters which likely play an important role in the accuracy of the results. These parameters are related to three stages of the global acquisition/reconstruction procedure; the tomographic data acquisition geometry, the sampling frequency of the projection data and the reconstruction algorithm.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128833269","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":"Conditions and design examples for instantaneous and simultaneous switching of filter banks","authors":"H. Theunis","doi":"10.1109/ICIP.1996.559571","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559571","url":null,"abstract":"We give a necessary and sufficient condition for instantaneous and simultaneous switching of analysis and synthesis filter banks in subband-coding systems. By means of a design example we show that under this condition sets of filter banks can be found that-within a set-can be interchanged randomly, and hence can be used for simultaneous and instantaneous switching.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131427579","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":"Coding using Gaussian mixture and generalized Gaussian models","authors":"Jonathan K. Su, R. Mersereau","doi":"10.1109/ICIP.1996.559472","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559472","url":null,"abstract":"In transform image coding, the histograms of transform coefficients can be approximately modeled by generalized Gaussian (GG) random variables. However, the GG models may not fit the DC distribution. One approach uses DPCM for the DC data, which greatly complicates bit allocation; another assumes a single Gaussian (SG) model, which may be a poor model. As an alternative, this paper proposes a finite Gaussian mixture (GM) model for the DC data. The GM approach does not require tweaking of the DPCM quantizer stepsize and can allocate bits optimally between the DC and AC data; it is also more flexible than the SG model. Experimentally, the GM method matched DPCM at medium rates and gave 1-5 dB higher PSNR at low and high rates. The GM method also matched the performance of the SG model and gave 0.5-2 dB higher PSNR when the SG assumption failed.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"21 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131874052","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":"Range image processing based on multiresolution analysis","authors":"M. Djebali, K. Melkemi, M. Melkemi, D. Vandorpe","doi":"10.1109/ICIP.1996.559488","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559488","url":null,"abstract":"We propose some aspects of range image processing (filtering, segmentation) based on multiresolution analysis, where we use discrete coiflet transforms. The interesting property of this kind of wavelets is the interpolating characteristic of their associated scaling functions. This characteristic is due to the fact that both coiflets and their scaling functions moments vanish. We give some definitions of range images, how they are acquired and treated. Then we present a new filtering method for such images, where we outline the importance of the interpolation property of the coiflet scaling function. We also describe an accelerating method for the range image segmentation process which uses region-growing techniques based on functions approximation and the local neighborhood property. Experimental results are given as examples.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127245727","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":"Hidden signatures in images","authors":"Chiou-Ting Hsu, Ja-Ling Wu","doi":"10.1109/ICIP.1996.560424","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560424","url":null,"abstract":"An image authentication technique by embedding each image with a signature so as to discourage unauthorized copying is proposed. The proposed technique could actually survive several kinds of image processing and the JPEG lossy compression.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133809690","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 global asymptotic stability of the NAS-RIF algorithm for blind image restoration","authors":"D. Kundur, D. Hatzinakos","doi":"10.1109/ICIP.1996.560372","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560372","url":null,"abstract":"In this paper, the authors present a convergence analysis for the NAS-RIF (nonnegativity and support constraints recursive inverse filtering) algorithm used in blind image restoration. A novel approach is presented to determine sufficient conditions for the global convergence of the technique. The approach is general to many signal processing algorithms and incorporates Lyapunov's direct method used commonly in nonlinear system analysis. The sufficient conditions for convergence are determined to be in the form of constraints on the blurred image pixels which can be tested for prior to the use of the NAS-RIF algorithm. An apparent trade-off between the quality of the restoration and the uniqueness of the solution is found.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133819817","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 robust on-line restoration algorithm for fingerprint segmentation","authors":"M. Ghassemian","doi":"10.1109/ICIP.1996.560632","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560632","url":null,"abstract":"Smudged furrows and cut ridges in the image of a fingerprint is the major problem in the fingerprint identification or verification systems. This paper investigates a new on-line unsupervised ridges detection method that reduces the complexity and costs associated with the fingerprint identification procedure. A new detection algorithm for restoration of the ridges of fingerprint is described. This algorithm is based on fuzzy classification technique. The proposed algorithm is compared with several segmentation algorithms. With no cost of time, some new features, such as direction of ridges, have been extracted. The results show a significant improvement in identification performance. Also, the CPU time required for the identification procedure is reduced.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115190687","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":"Spatially-varying, adaptive subband image coding","authors":"V. Nuri, R. Bamberger","doi":"10.1109/ICIP.1996.560836","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560836","url":null,"abstract":"In this paper, the design and analysis of adaptive subband coders is discussed. Both the analysis/synthesis filters and quantizers of the subband coding system are adapted to exploit non-stationarities of the image data. These adaptive systems are designed so that theoretical coding gain (TCG) is maximized, thereby minimizing mean-squared-error. The relative merits of adapting various components of a subband codec are investigated.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115389207","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}