{"title":"Runway imaging from an approaching aircraft using synthetic aperture radar","authors":"J. A. Lee, D. Munson","doi":"10.1109/ICIP.1996.560942","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560942","url":null,"abstract":"We consider high-resolution radar imaging of an airport runway and environs from an approaching aircraft. Such a radar could provide successful imaging in all-weather conditions. We show the feasibility of using synthetic aperture radar (SAR) to achieve high-resolution reflectivity imagery of a runway region. A formula is given specifying the data collection time required to achieve a desired cross-range resolution. Traditional polar-format processing is inaccurate for this scenario because the required plane-wave assumption is violated. We explore two alternative approaches to SAR image formation based on the exact form of the range function: a general SAR inversion algorithm and the w-k algorithm. We present simulation results for these algorithms, based on realistic SAR parameters.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"3 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":"130011665","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":"Inverse halftoning using wavelets","authors":"Zixiang Xiong, M. Orchard, K. Ramchandran","doi":"10.1109/ICIP.1996.559560","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559560","url":null,"abstract":"This paper introduces a new approach to inverse halftoning using nonorthogonal wavelets. The distinct features of this wavelet-based approach are: a) edge information in the highpass wavelet images of a halftone is extracted and used to assist inverse halftoning, b) cross-scale correlations in the multiscale wavelet decomposition are used for removing background halftoning noise while preserving important edges in the wavelet lowpass image, c) experiments show that our simple wavelet-based approach outperforms the best results obtained from inverse halftoning methods published in the literature, which are iterative in nature.","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":"134008859","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":"Joint coding for multi-program transmission","authors":"Limin Wang, A. Vincent","doi":"10.1109/ICIP.1996.560866","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560866","url":null,"abstract":"This paper presents a method for joint coding of multiple video programs. By exploiting the statistical variations of program content, joint coding achieves a more optimal bit allocation, which results in a better and more uniform overall picture quality. The bit allocation strategy assigns the same quantization parameter to all the programs, and adjusts this quantization parameter from frame to frame so that the total number of bits is within a given bit budget. It is shown that using the same quantization parameter results in bit rates proportional to the program complexities. It is also shown that the use of the same quantization parameter guarantees the same upper bound of the coding distortion for all the programs.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"59 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":"134434728","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}
T. M. Jørgensen, A. W. Andersen, S. S. Christensen
{"title":"Shape recognition system for automatic disassembly of TV-sets","authors":"T. M. Jørgensen, A. W. Andersen, S. S. Christensen","doi":"10.1109/ICIP.1996.560962","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560962","url":null,"abstract":"A shape recognition system used to navigate a disassembly robot is being described. The task that the robotics system has to solve is that of dismantling TV sets. The image processing module operates on 2D and 3D data and uses a combination of image pre-processors and a RAM net architecture implemented in hardware.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"20 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":"134167615","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":"Motion characterization of unrigid objects by detecting and tracking feature points","authors":"J. Fayolle, C. Ducottet, T. Fournel, J. Schon","doi":"10.1109/ICIP.1996.560859","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560859","url":null,"abstract":"A new algorithm to determine the motion of unnrigid objects like smoke clouds is presented. It consists of two parts. The first one is the localisation of edges and feature points along them. The wavelet transform is used for each of these localisations. The determination of feature points is done through the characterisation of a quantity related to Lipschitz exponents. The second part is the tracking of the set of feature points obtained over an image sequence. We introduce a method which uses the gradient phase as characteristic to be tracked. Experimental results are presented to demonstrate the efficiency of the algorithm.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"80 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":"131494591","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":"Segmenting modulated line textures with S-Gabor filters","authors":"S. Hickinbotham, E. Hancock, J. Austin","doi":"10.1109/ICIP.1996.560405","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560405","url":null,"abstract":"This paper describes a novel technique for segmenting frequency modulated line-textures. Textures of this sort abound in nature and are typified by growth patterns in which the deposition rate varies over time. The basic idea underpinning the technique is to use the S-Gabor kernel as a frequency modulated channel response function. According to this channel model, the central frequency changes exponentially with distance from the centre of the kernel. In order to segment the resulting texture response, we use fuzzy clustering to locate peaks in the Fourier power spectrum. In this way we estimate both the centre-frequency and the modulation parameters of the filter bank. We illustrate the effectiveness of our technique on the segmentation of growth patterns on fish scales.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"27 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":"130935051","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 new embedded image codec based on the wavelet transform and binary position coding","authors":"Hongsheng Cai, G. Mirchandani","doi":"10.1109/ICIP.1996.560910","DOIUrl":"https://doi.org/10.1109/ICIP.1996.560910","url":null,"abstract":"A new approach for an embedded image codec based on the wavelet transform (WT) and auto-adaptive block coding of binary position information is presented. The method, which treats sub-bands independently is simple and efficient. Experimental results show its performance to be close to that of the zero-tree codec even without further entropy coding. In addition, the codec is scalable with no corresponding implementation loss of coding efficiency.","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":"130953195","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":"Multiple resolution image segmentation using four QP supports of 2D autoregressive model","authors":"O. Alata, P. Baylou, M. Najim","doi":"10.1109/ICIP.1996.559487","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559487","url":null,"abstract":"In the framework of a model based approach and using Bayesian estimation techniques, one can improve the results of image segmentation algorithms. In such cases, the texture field is modeled by a 2D autoregressive model. In previous works, segmentation algorithm derivation was based on the prediction error calculated from the first quadrant quarter plane support [Bouman and Liu, 1992]. In this paper, we introduce information extracted from the estimation of the four linear prediction errors calculated from the four quarter plane supports in order to solve boundary problems and to propose isotropic local criteria. Simulation results using the multiple resolution segmentation algorithm [Bouman and Liu] with single quarter plane and four quarter plane criteria are provided.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"144 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":"133067412","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":"Knowledge representation for the generation of quantified natural language descriptions of vehicle traffic in image sequences","authors":"R. Gerber, H. Nagel","doi":"10.1109/ICIP.1996.561027","DOIUrl":"https://doi.org/10.1109/ICIP.1996.561027","url":null,"abstract":"Our image sequence interpretation process, which generates conceptual descriptions of the behaviour of vehicles in real-world traffic scenes, essentially treated only a single vehicle (the agent) so far. Simultaneous behaviours of other vehicles in the scene have been formulated only relative to the agent. The approach discussed in this contribution allows us to quantify occurrences and thus to generate more global conceptual descriptions of behaviour by using natural language quantifiers. The semantics of such quantified occurrences are represented by special logic structures. Natural language descriptions are derived from these internal knowledge representations.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"603 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":"133433773","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":"Supra-threshold perceptual image coding","authors":"T. Pappas, Thomas A. Michel, R. O. Hinds","doi":"10.1109/ICIP.1996.559477","DOIUrl":"https://doi.org/10.1109/ICIP.1996.559477","url":null,"abstract":"We investigate different algorithms and performance criteria for supra-threshold image compression. The algorithms include JPEG and perceptual JPEG, the Safranek-Johnston perceptual subband image coder (PIC), and the Said-Pearlman algorithm which is based on Shapiro's embedded zerotree wavelet algorithm. We also consider a number of performance criteria. These include mean-squared error, Watson's perceptual metric, a metric based on the PIC coder, as well as an eye-filter weighted mean-squared-error metric. Our experiments indicate that the PIC metric provides the best correlation with subjective evaluations. The metric predicts that at very low bit rates the Said-Pearlman algorithm and the 8/spl times/8 subband PIC coder perform the best, while at high bit rates the 4/spl times/4 subband PIC coder dominates.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"11 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":"133680460","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}