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Proceedings. International Conference on Image Processing最新文献

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Color image compression using inter-color correlation 彩色图像压缩利用色间相关
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1039960
Larisa Goffman-Vinopal, M. Porat
{"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}
引用次数: 56
Flexible, dynamic and compliant region of interest coding in JPEG2000 灵活、动态、兼容的JPEG2000感兴趣区域编码
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1038914
R. Rosenbaum, H. Schumann
{"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}
引用次数: 32
Shared-boundary fusion for estimation of noisy multi-modality atherosclerotic plaque imagery 共享边界融合估计噪声多模态动脉粥样硬化斑块图像
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1038929
Robert A. Weisenseel, W. C. Karl, R. Chan
{"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}
引用次数: 2
JANIS: Just Another n-order Side-Informed Watermarking Scheme JANIS:只是另一个n阶侧通知水印方案
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1039910
T. Furon, B. Macq, N. Hurley, G. Silvestre
{"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}
引用次数: 36
Robust turbo-based data hiding for image and video sources 鲁棒的基于涡轮的数据隐藏图像和视频源
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1039905
J. Chou, K. Ramchandran
{"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}
引用次数: 20
Model based rotation-invariant texture classification 基于模型的旋转不变纹理分类
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1038918
P. Campisi, A. Neri, G. Scarano
{"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}
引用次数: 15
Image restoration under wavelet-domain priors: an expectation-maximization approach 小波域先验下的图像恢复:期望最大化方法
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1038029
R. Nowak, Mário A. T. Figueiredo
{"title":"Image restoration under wavelet-domain priors: an expectation-maximization approach","authors":"R. Nowak, Mário A. T. Figueiredo","doi":"10.1109/ICIP.2002.1038029","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038029","url":null,"abstract":"This paper describes an expectation-maximization (EM) algorithm for wavelet-based image restoration (deconvolution). The observed image is assumed to be a convolved (e.g., blurred) and noisy version of the original image. Regularization is achieved by using a complexity penalty/prior in the wavelet domain, taking advantage of the well known sparsity of wavelet representations. The EM algorithm herein proposed combines the efficient image representation offered by the discrete wavelet transform (DWT) with the diagonalization of the convolution operator in the discrete Fourier domain. The algorithm alternates between an FFT-based E-step and a DWT-based M-step, resulting in a very efficient iterative process requiring O(N log N) operations per iteration (where N stands for the number of pixels). The algorithm, which also estimates the noise variance, is called WAFER, standing for wavelet and Fourier EM restoration. The conditions for convergence of the proposed algorithm are also presented.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"16 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":"87891199","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}
引用次数: 4
Biased reconstruction of wavelet coefficients in JPEG2000 decoding JPEG2000解码中小波系数的偏置重构
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1038951
A. Deever
{"title":"Biased reconstruction of wavelet coefficients in JPEG2000 decoding","authors":"A. Deever","doi":"10.1109/ICIP.2002.1038951","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038951","url":null,"abstract":"Lossy wavelet compression with JPEG2000 results in the loss of information through coefficient quantization. When decoding a lossy JPEG2000 compressed image, the exact original value of a quantized coefficient is unknown to the decoder, which must try to optimally assign a reconstruction value to the coefficient within the appropriate quantization interval. Typically, JPEG2000 decoders reconstruct a wavelet coefficient at the midpoint of its quantization interval. In this paper, alternative reconstruction algorithms are proposed that utilize statistics accumulated throughout decoding to improve the selection of reconstruction points. Biased reconstruction algorithms are described for zero-quantized coefficients as well as non-zero-quantized coefficients. The computational complexity of the algorithms is also analyzed. At bit rates ranging from 0.25-2 bits per pixel, the proposed techniques yield PSNR improvements on average of 0.1-0.15 dB relative to midpoint reconstruction.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"147 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":"86908792","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}
引用次数: 0
A new algorithm for target tracking using fuzzy-edge-based feature matching and robust statistic 基于模糊边缘特征匹配和鲁棒统计的目标跟踪新算法
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1038089
A. Behrad, S. Motamedi, K. Madani, M. Esnaashari
{"title":"A new algorithm for target tracking using fuzzy-edge-based feature matching and robust statistic","authors":"A. Behrad, S. Motamedi, K. Madani, M. Esnaashari","doi":"10.1109/ICIP.2002.1038089","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038089","url":null,"abstract":"We present a new algorithm for real-time tracking of moving targets in terrestrial scenes using a mobile camera. We used the fuzzy edge of the target and the modified LMedS statistic for robust tracking. In this method, we first select proper feature points from the edge of the target. These feature points are then matched with points in the region of interest in the next frame using fuzzy-edge-based feature matching. Then using the modified LMedS statistic and affine transformation, a motion model is calculated for the target. Using this model the location of the target is identified in the next frame. In addition to the robust statistic, the use of reflectance information for edge detection has made our tracking algorithm reliable against high illumination changes. The tracking system is also capable of target shape recovery and therefore it can successfully track targets with varying distance from camera or while the camera is zooming.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"7 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":"87025187","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}
引用次数: 3
Joint space-time image sequence segmentation based on volume competition and level sets 基于体积竞争和水平集的空时图像序列联合分割
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1038088
Mirko Ristivojevic, J. Konrad
{"title":"Joint space-time image sequence segmentation based on volume competition and level sets","authors":"Mirko Ristivojevic, J. Konrad","doi":"10.1109/ICIP.2002.1038088","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038088","url":null,"abstract":"We address the issue of joint space-time segmentation of image sequences. Typical approaches to such segmentation consider two image frames at a time, and perform tracking of individual segments across time. We propose to perform this segmentation jointly over multiple frames. This leads to a 3D segmentation, i.e., a search for a volume \"carved out\" by a moving object in the (3D) image sequence domain. We pose the problem in a Bayesian framework and use the MAP criterion. Under suitable structural and segmentation/motion models we convert MAP estimation to a functional minimization. The resulting problem can be viewed as volume competition, a 3D generalization of region competition. We parameterize the unknown surface to be estimated, but rather than solving for it using an active-surface approach, we embed it into a higher-dimensional function and use the level-set methodology. We show experimental results for the simpler case of object motion against a still background although, given suitable models, the general formulation can handle complex motion too.","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":"88340608","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}
引用次数: 14
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