{"title":"Color-grayscale image registration using hypercomplex phase correlation","authors":"C. E. Moxey, S. Sangwine, T. Ell","doi":"10.1109/ICIP.2002.1039968","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1039968","url":null,"abstract":"Phase correlation has been used for the registration of grayscale images for the past 25 years. A previously published hypercomplex generalization of phase correlation has been applied to the registration of vector, or color, images. This paper demonstrates phase-correlation between a grayscale and a color image using the two possibilities for encoding the grayscale image in a quaternion image format. By implementing both the scalar and vector forms of the grayscale image this paper compares, for the first time, vector-vector to scalar-vector hypercomplex correlation. While both are found to give a similar performance, for this application, the analysis of the hypercomplex response finds that the inherent geometry of the quaternionic encoding hides the underlying processing and the phase and axis information. The choice of which method to employ in such applications should therefore be considered with due respect to the encoding of the data in either case.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"150 1","pages":"II-Ii"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72793644","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":"Enhancement of lossy compressed images by modeling with Bernstein polynomials","authors":"J. Mayer","doi":"10.1109/ICIP.2002.1038152","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038152","url":null,"abstract":"A non-iterative post-processing enhancement technique is proposed for images degraded by either the JPEG-DCT or the JPEG-LS (LOCO) lossy coding algorithm. A degraded image is classified into active and smooth regions. A distance transform is applied to the resulting classification, and is used to determine the size and order of a Bezier surface patch. These Bezier blending surfaces, built with Bernstein polynomials, provide an interesting representation for the image. This approach mitigates the quantization noise while preserving strong edges and textures. Results illustrate the significant visual improvement achieved with a computational complexity of O(n).","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"10 1","pages":"I-I"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72795972","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":"Adjoint field methods for non-linear tomographic medical imaging problems","authors":"E. L. Miller, Kate Boverman","doi":"10.1109/ICIP.2002.1040030","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1040030","url":null,"abstract":"We show results for full three-dimensional non-linear inversion of the parameters of a diffusive partial differential equation, specifically for an optical tomography application. We compute functional derivatives of the parameters with respect to the mean-squared error using the adjoint field method, and implement two forms of regularization. In the first, a penalty term is introduced into the error functional, and in the second, the solution to the inverse problem is assumed to belong to a parametrized class of functions. In the case where this assumption is correct, our results demonstrate that the parameters can recovered with high accuracy, yielding a better inversion result than the traditional Tikhonov-type approach.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"30 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72840248","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":"Protocols for distributed video streaming","authors":"Thinh P. Q. Nguyen, A. Zakhor","doi":"10.1109/ICIP.2002.1038936","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038936","url":null,"abstract":"With the explosive growth of video applications over the packet switched networks, many approaches have been proposed to stream video effectively over packet switched, best-effort networks. In our previous work, we proposed a framework with a receiver driven protocol to coordinate simultaneous video streaming from multiple senders to a single receiver in order to achieve higher throughput, and to increase tolerance to packet loss and delay due to network congestion. The receiver-driven protocol employs two algorithms: the rate allocation and packet partition. The rate allocation algorithm determines the sending rate for each sender while the packet partition algorithm ensures no sender sends the same packets, and at the same time, minimizes the probability of late packets. We extend the rate allocation scheme to be used with forward error correction (FEC) in order to minimize the probability of packet loss in a bursty loss environment such as one due to network congestion. Using both simulations and actual Internet experiments, we demonstrate the effectiveness of our rate allocation scheme in reducing packet loss, and hence, achieving higher visual quality for the streamed video.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"352 1","pages":"III-III"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76594585","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":"Color image compression using inter-color correlation","authors":"Larisa Goffman-Vinopal, M. Porat","doi":"10.1109/ICIP.2002.1039960","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1039960","url":null,"abstract":"Natural images are characterized by high correlation between their RGB color components. Most representation and compression techniques reduce the redundancies between color components by transforming the color primaries into a decorrelated color space, such as YIQ or YUV. In this paper a different approach to color information analysis is considered. Since the high correlation of color channels implicitly suggests a localized functional relation between the components, it could be used in an alternative framework by approximating subordinate colors as functions of a base color. This way, only a reduced number of parameters is required for coding the color information. Compression results are presented and compared with JPEG, and the parameters that affect the coding quality are studied and discussed. The results show the advantages of the new correlation-based approach over the YIQ/YUV decorrelation techniques as used in JPEG and related applications.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"221 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82146014","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":"Flexible, dynamic and compliant region of interest coding in JPEG2000","authors":"R. Rosenbaum, H. Schumann","doi":"10.1109/ICIP.2002.1038914","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038914","url":null,"abstract":"Image transmission with JPEG2000 can be speeded up by using regions of interest (RoIs). By such a mechanism, parts of an image not belonging to RoIs can be transmitted later or encoded at a lower bit rate. This paper describes a flexible dynamic RoI-scheme which supports the definition and handling of arbitrarily-shaped RoIs in JPEG2000. The scheme supports the dynamic definition and prioritization of new and existing RoIs at any time during image transmission. This can be done without having to decode and re-encode the JPEG2000 datastream. To reach this, we use the flexible precinct/layer-mechanism of the standard. The proposed scheme is fully compliant with the JPEG2000-baseline-codec.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"4 1","pages":"III-III"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82475531","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":"Shared-boundary fusion for estimation of noisy multi-modality atherosclerotic plaque imagery","authors":"Robert A. Weisenseel, W. C. Karl, R. Chan","doi":"10.1109/ICIP.2002.1038929","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038929","url":null,"abstract":"Our work focuses on applying boundary-preserving smoothing techniques to the fusion of multiple image modalities in an effort to improve image-based classification of atherosclerotic lesions. No single imaging modality has yet demonstrated the ability to reliably detect \"vulnerable\" lesions. We present an approach for estimating multi-modality biomedical imagery when tissue classes are sharply delimited by boundaries. Our approach is based on the Mumford-Shah framework for edge-preserving smoothing. We exploit this framework to fuse heterogeneous sensing modalities that image unrelated physicochemical parameters of a piecewise-homogeneous tissue field. We demonstrate this approach by fusing boundary field estimates from MR and CT atherosclerotic lesion imagery into a single estimated underlying tissue boundary field, while simultaneously estimating the original imagery to better estimate tissue characteristics and structure.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"7 1","pages":"III-III"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82082967","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":"JANIS: Just Another n-order Side-Informed Watermarking Scheme","authors":"T. Furon, B. Macq, N. Hurley, G. Silvestre","doi":"10.1109/ICIP.2002.1039910","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1039910","url":null,"abstract":"This paper deals with some detection issues of watermark signals. We propose an easy way to implement an informed watermarking embedder whatever the detection function. This method shows that a linear detection function is not suitable for side information. This is the reason why we build a family of nonlinear functions named JANIS. Used with a side-informed embedder, its performance is much better than the classical spread spectrum method.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"41 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82346852","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":"Robust turbo-based data hiding for image and video sources","authors":"J. Chou, K. Ramchandran","doi":"10.1109/ICIP.2002.1039905","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1039905","url":null,"abstract":"Channel coding with side information (CCSI) provides a powerful framework for constructing data embedding codes. As a result, there has been a considerable amount of work done in trying to apply these CCSI codes to the field of image and video watermarking. The CCSI codes that exist in the literature however, are relatively far from theoretical bounds. Furthermore, these codes, by themselves, are not well-suited for dealing with geometrical distortions which often appear in watermarking attacks. In this paper we propose a CCSI code that is closer to the theoretical bounds (within 2.0 dB) than the codes that exist in the literature. In addition, we show how this code construction can be combined with a synchronization code to deal with geometrical distortions.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"1 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78639613","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":"Model based rotation-invariant texture classification","authors":"P. Campisi, A. Neri, G. Scarano","doi":"10.1109/ICIP.2002.1038918","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038918","url":null,"abstract":"In this paper a model based texture classification procedure robust to sample rotation is presented. The texture is modeled as the output of a linear system driven by a binary image. This latter retains the morphological characteristics of the texture and it is specified by its spatial autocorrelation function (ACF). We show that features extracted from the ACF of the binary excitation suffice to represent the texture for classification purposes. Specifically, we employ a classical moment invariants based technique to classify the ACF and the resulting classification procedure is thus inherently rotation invariant. Experimental results show that this approach allows obtaining high correct rotation-invariant classification rates while reducing the size of the feature space and the computational burden.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"17 1","pages":"III-III"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78795445","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}