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Image Processing, IEEE Transactions on

Issue 3 • Date March 2004

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Displaying Results 1 - 24 of 24
  • Table of contents

    Publication Year: 2004 , Page(s): c1 - c4
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  • IEEE Transactions on Image Processing publication information

    Publication Year: 2004 , Page(s): c2
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  • Guest Editorial Special Issue on Image Processing for Cultural Heritage

    Publication Year: 2004 , Page(s): 273 - 276
    Cited by:  Papers (1)
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  • Retrieval of images from artistic repositories using a decision fusion framework

    Publication Year: 2004 , Page(s): 277 - 292
    Cited by:  Papers (18)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1276 KB) |  | HTML iconHTML  

    The large volumes of artistic visual data available to museums, art galleries, and online collections motivate the need for effective means to retrieve :relevant information from such repositories. The paper proposes a decision making framework for content-based retrieval of art images based on a combination of low-level features. Traditionally, the similarity between two images has been calculated as a weighted distance between two feature vectors. This approach, however, may not be mathematically and computationally appropriate, and does not provide enough flexibility in modeling user queries. The paper proposes a framework that generalizes a wide set of previous approaches to similarity calculation, including the weighted distance approach. Image similarities are obtained through a decision making process based on low-level feature distances using fuzzy theory. The analysis and results indicate that the presented aggregation technique provides an effective, general, and flexible tool for similarity calculation based on the combination of individual descriptors and features. View full abstract»

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  • JPEG2000 and dissemination of cultural heritage over the Internet

    Publication Year: 2004 , Page(s): 293 - 301
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (692 KB) |  | HTML iconHTML  

    By applying the latest technologies in image compression for managing the storage of massive image data within cultural heritage databases and by exploiting the universality of the Internet, we are now able not only to digitize, record and preserve cultural heritage effectively, but also to promote its dissemination. We present an application of the latest image compression standard JPEG2000 in managing and browsing image databases, focusing on the image transmission aspect rather than database management and indexing. We combine the technologies of JPEG2000 image compression with client-server socket connections and client browser plug-in, so as to provide an all-in-one package for remote browsing of JPEG2000 compressed image databases, suitable for the effective dissemination of cultural heritage. View full abstract»

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  • An integrated content and metadata based retrieval system for art

    Publication Year: 2004 , Page(s): 302 - 313
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (716 KB) |  | HTML iconHTML  

    A new approach to image retrieval is presented in the domain of museum and gallery image collections. Specialist algorithms, developed to address specific retrieval tasks, are combined with more conventional content and metadata retrieval approaches, and implemented within a distributed architecture to provide cross-collection searching and navigation in a seamless way. External systems can access the different collections using interoperability protocols and open standards, which were extended to accommodate content based as well as text based retrieval paradigms. After a brief overview of the complete system, we describe the novel design and evaluation of some of the specialist image analysis algorithms, including a method for image retrieval based on sub-image queries, retrievals based on very low quality images and retrieval using canvas crack patterns. We show how effective retrieval results can be achieved by real end-users consisting of major museums and galleries, accessing the distributed, but integrated, digital collections. View full abstract»

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  • Content-based retrieval of historical Ottoman documents stored as textual images

    Publication Year: 2004 , Page(s): 314 - 325
    Cited by:  Papers (19)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (844 KB) |  | HTML iconHTML  

    There is an accelerating demand to access the visual content of documents stored in historical and cultural archives. Availability of electronic imaging tools and effective image processing techniques makes it feasible to process the multimedia data in large databases. A framework for content-based retrieval of historical documents in the Ottoman Empire archives is presented. The documents are stored as textual images, which are compressed by constructing a library of symbols occurring in a document, and the symbols in the original image are then replaced with pointers into the codebook to obtain a compressed representation of the image. The features in wavelet and spatial domains, based on angular and distance span of shapes, are used to extract the symbols. In order to make content-based retrieval in the historical archives, a query is specified as a rectangular region in an input image and the same symbol-extraction process is applied to the query region. The queries are processed on the codebook of documents and the query images are identified in the resulting documents using the pointers in the textual images. The query process does not require decompression of images. The new content-based retrieval framework is also applicable to many other document archives using different scripts. View full abstract»

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  • Retrieval for color artistry concepts

    Publication Year: 2004 , Page(s): 326 - 339
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (688 KB) |  | HTML iconHTML  

    The paper presents work on the retrieval of artworks for color artistry concepts. First, we confirm the view that the query-by-example paradigm, fundamental to current content-based retrieval systems, is able to extend only limited usefulness. We then propose a concept-based retrieval engine based on the generative grammar of elemental concepts methodology. In the latter, the language by which color artistry concepts are communicated in artworks is used to operate semantic searches. The color artistry language is explicated as elemental concepts and the associated generative grammar. The elemental concepts are used to index the artworks, while the generative grammar is used to facilitate post-coordinate expression of color artistry concept queries by using the elemental concepts. View full abstract»

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  • Studying digital imagery of ancient paintings by mixtures of stochastic models

    Publication Year: 2004 , Page(s): 340 - 353
    Cited by:  Papers (38)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (906 KB) |  | HTML iconHTML  

    The paper addresses learning-based characterization of fine art painting styles. The research has the potential to provide a powerful tool to art historians for studying connections among artists or periods in the history of art. Depending on specific applications, paintings can be categorized in different ways. We focus on comparing the painting styles of artists. To profile the style of an artist, a mixture of stochastic models is estimated using training images. The two-dimensional (2D) multiresolution hidden Markov model (MHMM) is used in the experiment. These models form an artist's distinct digital signature. For certain types of paintings, only strokes provide reliable information to distinguish artists. Chinese ink paintings are a prime example of the above phenomenon; they do not have colors or even tones. The 2D MHMM analyzes relatively large regions in an image, which in turn makes it more likely to capture properties of the painting strokes. The mixtures of 2D MHMMs established for artists can be further used to classify paintings and compare paintings or artists. We implemented and tested the system using high-resolution digital photographs of some of China's most renowned artists. Experiments have demonstrated good potential of our approach in automatic analysis of paintings. Our work can be applied to other domains. View full abstract»

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  • Automatic 3D modeling of textured cultural heritage objects

    Publication Year: 2004 , Page(s): 354 - 369
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1313 KB) |  | HTML iconHTML  

    A widespread use of three-dimensional (3D) models in cultural heritage application requires low cost equipment and technically simple modeling procedures. In this context, methods for automatic 3D modeling of textured objects can play a central role. Such methods need fully automatic techniques for 3D view registration and for the removal of texture artifacts. The paper proposes an image processing based procedure that is very robust and simple. It does not require special equipment or skill in order to make textured 3D models. These proposals, originally conceived to address the cost issues of cultural heritage modeling, can be profitably exploited also in other modeling applications. View full abstract»

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  • High-accuracy 3D modeling of cultural heritage: the digitizing of Donatello's "Maddalena"

    Publication Year: 2004 , Page(s): 370 - 380
    Cited by:  Papers (23)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (626 KB) |  | HTML iconHTML  

    Three-dimensional digital modeling of heritage works of art through optical scanners, has been demonstrated in recent years with results of exceptional interest. However, the routine application of three-dimensional (3D) modeling to heritage conservation still requires a systematic investigation of a number of technical problems. The paper describes the process of acquiring a 3D digital model of the Maddalena by Donatello, a wooden statue representing one of the major masterpieces of the Italian Renaissance which was swept away by the Florence flood of 1966, and subsequently restored. The paper reports all the steps of the acquisition procedure, from the project planning to the solution of the various problems due to range camera calibration and to optically noncooperative material. Since the scientific focus is centered on the 3D model's overall dimensional accuracy, a methodology for its quality control is described. Such control has demonstrated how, in some situations, the ICP-based alignment can lead to incorrect results. To circumvent this difficulty, we propose an alignment technique based on the fusion of ICP (iterative closest point) with close-range digital photogrammetry and a noninvasive procedure in order to generate a final accurate model. Detailed results are presented, demonstrating the improvement of the final model, and how the proposed sensor fusion ensures a prespecified level of accuracy. View full abstract»

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  • Reconstruction of sculpture from its profiles with unknown camera positions

    Publication Year: 2004 , Page(s): 381 - 389
    Cited by:  Papers (22)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (662 KB) |  | HTML iconHTML  

    Profiles of a sculpture provide rich information about its geometry, and can be used for shape recovery under known camera motion. By exploiting correspondences induced by epipolar tangents on the profiles, a successful solution to motion estimation from profiles has been developed in the special case of circular motion. The main drawbacks of using circular motion alone, namely the difficulty in adding new views and part of the object always being invisible, can be overcome by incorporating arbitrary general views of the object and registering its new profiles with the set of profiles resulting from the circular motion. We describe a complete and practical system for producing a three-dimensional (3D) model from uncalibrated images of an arbitrary object using its profiles alone. Experimental results on various objects are presented, demonstrating the quality of the reconstructions using the estimated motion. View full abstract»

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  • Low-cost optoelectronic system for three-dimensional artwork texture measurement

    Publication Year: 2004 , Page(s): 390 - 396
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (573 KB) |  | HTML iconHTML  

    A new optoelectronic system is proposed for three-dimensional (3D) texture measurement. It is based on a projection unit in which light, coming from a laser diode coupled to an optical fiber, impinges on a diffractive optical element (DOE) to produce sinusoidal fringes. If the projected fringe pattern is viewed at an angle different from the projection angle, the fringe profile is phase-modulated by the 3D object shape. The 3D map information is obtained with the aid of a fringe analyzer based on phase-shifting a synthetic moire pattern, fast Fourier transform (FFT), signal demodulation techniques and a robust and fast phase unwrapping performed by specially developed software. The proposed system is based on simple and low cost equipment; furthermore, it is suitable for in situ measurements by nonskilled operators. Some experimental examples illustrate its performance. View full abstract»

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  • On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach

    Publication Year: 2004 , Page(s): 397 - 415
    Cited by:  Papers (40)  |  Patents (9)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (943 KB)  

    Image sequence restoration has been steadily gaining in importance with the increasing prevalence of visual digital media. The demand for content increases the pressure on archives to automate their restoration activities for preservation of the cultural heritage that they hold. There are many defects that affect archived visual material and one central issue is that of dirt and sparkle, or "blotches". Research in archive restoration has been conducted for more than a decade and this paper places that material in context to highlight the advances made during that time. The paper also presents a new and simpler Bayesian framework that achieves joint processing of noise, missing data, and occlusion. View full abstract»

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  • Virtual restoration of ancient Chinese paintings using color contrast enhancement and lacuna texture synthesis

    Publication Year: 2004 , Page(s): 416 - 429
    Cited by:  Papers (41)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1689 KB) |  | HTML iconHTML  

    This work presents a novel algorithm using color contrast enhancement and lacuna texture synthesis is proposed for the virtual restoration of ancient Chinese paintings. Color contrast enhancement based on saturation and de-saturation is performed in the u'v'Y color space, to change the saturation value in the chromaticity diagram, and adaptive histogram equalization then is adopted to adjust the luminance component. Additionally, this work presents a new patching method using the Markov random field (MRF) model of texture synthesis. Eliminating undesirable aged painting patterns, such as stains, crevices, and artifacts, and then filling the lacuna regions with the appropriate textures is simple and efficient. The synthesization procedure integrates three key approaches, weighted mask, annular scan and auxiliary, with neighborhood searching. These approaches can maintain a complete shape and prevent edge disconnection in the final results. Moreover, the boundary between original and synthesized paintings is seamless, and we are unable to distinguish in which the undesirable pattern appears. View full abstract»

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  • Dual domain watermarking for authentication and compression of cultural heritage images

    Publication Year: 2004 , Page(s): 430 - 448
    Cited by:  Papers (39)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1191 KB) |  | HTML iconHTML  

    This paper proposes an approach for the combined image authentication and compression of color images by making use of a digital watermarking and data hiding framework. The digital watermark is comprised of two components: a soft-authenticator watermark for authentication and tamper assessment of the given image, and a chrominance watermark employed to improve the efficiency of compression. The multipurpose watermark is designed by exploiting the orthogonality of various domains used for authentication, color decomposition and watermark insertion. The approach is implemented as a DCT-DWT dual domain algorithm and is applied for the protection and compression of cultural heritage imagery. Analysis is provided to characterize the behavior of the scheme under ideal conditions. Simulations and comparisons of the proposed approach with state-of-the-art existing work demonstrate the potential of the overall scheme. View full abstract»

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  • IEEE Transactions on Image Processing Edics

    Publication Year: 2004 , Page(s): 449
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  • IEEE Transactions on Image Processing Information for authors

    Publication Year: 2004 , Page(s): 450 - 451
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  • IEEE Transactions on Signal Processing Supplement on Secure Media

    Publication Year: 2004 , Page(s): 452
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  • Special issue on data mining of speech, audio and dialog

    Publication Year: 2004 , Page(s): 453
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  • Special issue on speech-to-speech machine translation

    Publication Year: 2004 , Page(s): 454
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  • Join IEEE

    Publication Year: 2004 , Page(s): 455
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  • Quality without compromise [advertisement]

    Publication Year: 2004 , Page(s): 456
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  • IEEE Signal Processing Society Information

    Publication Year: 2004 , Page(s): c3
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Aims & Scope

IEEE Transactions on Image Processing focuses on signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing.

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Meet Our Editors

Editor-in-Chief
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu 
Phone: +1 434-982-2003