A medical database has been developed in the pediatric clinic of the University Hospital of Alexandroupolis in order to organize and manipulate all clinical information in digital form. A compression technique that tr...
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A medical database has been developed in the pediatric clinic of the University Hospital of Alexandroupolis in order to organize and manipulate all clinical information in digital form. A compression technique that trades between the amount of data stored/transmitted and the quality of the image may be used in order to reduce the amount of stored/transmitted image data. A comparative evaluation of JPEG and JPEG2000 compression standards by means of both subjective and objective criteria was performed in order to select the appropriate compression technique for the database medical images. JPEG 2000 proves to be an ideal file format for the pediatric DB application, since it compresses the image data up to 98.4% without any loss in the diagnostic information of the image.
J. Daugman and C. Downing introduced a new method (see "Spatial Vision in Humans and Robots: The Proceedings of the 1991 York conference on Spatial Vision in Humans and Robots", ch.5, p.63-87, Cambridge Univ...
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J. Daugman and C. Downing introduced a new method (see "Spatial Vision in Humans and Robots: The Proceedings of the 1991 York conference on Spatial Vision in Humans and Robots", ch.5, p.63-87, Cambridge University Press, 1993) for decomposing textures using a demodulation transform that they claimed had its basis in human visual perception. We argue that their transform may be applied to mammograms for image texture analysis and tissue characterization. An adaptation made to their demodulation transform is presented for the purpose of highlighting circumscribed mass lesions on mammograms. Three major modifications are introduced: (a) Fourier half-plane selection; (b) amplitude-only and phase-only reconstruction; (c) image subtraction to highlight masses on mammograms. This adapted algorithm exhibits high sensitivity for detecting circumscribed mass lesions and initial results are promising.
In a multiuser chaotic communications scheme, each user's information is modulated with a chaotic system and then transmitted independently over a common communication channel. The receiver sees the superposition ...
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In a multiuser chaotic communications scheme, each user's information is modulated with a chaotic system and then transmitted independently over a common communication channel. The receiver sees the superposition of the distorted transmitted signals with additive noise. In this paper, a novel channel equalization algorithm is proposed for multiuser chaotic communications systems where each user's information is encoded using symbolic dynamics. The goal is to recover the chaotic signal being sent by each individual user so that its information can be estimated. This paper begins with the symbolic dynamics representation of chaotic systems being exploited to enable the representation of the multiuser chaotic system with an equivalent trellis diagram. Then, the trellis diagram is expanded to accommodate FIR channel distortions. Finally, the Viterbi algorithm is used to obtain maximum-likelihood estimates of the transmitted sequences. The performance of this algorithm in terms of bit-error rate (BER) is simulated for different channel distortions.
A method of improving the traditional polygonal approximation methods is described. It has properties such as scalability, resilience to noise, controlled levels of approximation and good visual representation. These ...
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A method of improving the traditional polygonal approximation methods is described. It has properties such as scalability, resilience to noise, controlled levels of approximation and good visual representation. These properties are a direct result of the use of scale space information to derive the vertices positions of the polygonal approximation. The vertices are situated on the contour points where the changes of the contour directions are at their major sharp positions. An encoding method with a scalable polygonal approximation of shapes is defined, which results in a good relation between the distortion and the bit rate.
The emerging MPEG-7 standard embodies a visual descriptor that is associated with the dominant colors of an image. A threshold adaptation method for region based image and video segmentation that takes advantage of th...
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The emerging MPEG-7 standard embodies a visual descriptor that is associated with the dominant colors of an image. A threshold adaptation method for region based image and video segmentation that takes advantage of the MPEG-7 dominant color descriptor is presented. This method enables assignment of region growing parameters without any low-level processing. In the standard, it is proposed that the dominant colors be extracted by clustering of color histograms. This property is used to determine color homogeneity that is formulated into the Lorentzian-based color distance norm and corresponding thresholds. The proposed algorithm is compared with other region growing algorithms, and results show that the threshold adaptation performs faster and more robustly.
This paper presents a new version of the exact discrete Radon [1] transform denoted as Mojette transform. Whereas the Mojette transform backprojects a single bin into a grey value pixel at each iteration, the proposed...
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This paper presents a new version of the exact discrete Radon [1] transform denoted as Mojette transform. Whereas the Mojette transform backprojects a single bin into a grey value pixel at each iteration, the proposed version backprojects a bin onto an entire segment of binary pixels. Implementation of this discrete exact backprojector is presented and used for specific binary images of incomplete contours giving a new representation of 2D edges images.
Digital watermarking consists of hiding subliminal information into digital media content, also called host data. It can be the basis of many applications, including security and media asset management. In this paper,...
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Digital watermarking consists of hiding subliminal information into digital media content, also called host data. It can be the basis of many applications, including security and media asset management. In this paper, we focus on the imperceptibility requirement for image watermarking. We present the main features of the human visual system (HVS) to be translated into watermarking technology. This paper highlights the need for dedicated inputs from the human vision community. The human visual system (HVS) is very complex and able to deal with a huge amount of information. Roughly speaking, it is composed of a receiver with a pre-processing stage, the eye and the retina, a transmission channel, the optic nerve, and a processing engine, the visual cortex. Mainly because of our lack of knowledge about brain behavior, i.e. about the way a stimulus is processed through its huge neural network, the large effort to understand and model the HVS behavior has partly remained fruitless. The aim of this paper is not to provide a thorough description of the HVS. For complete HVS models and more specific details, the reader is referred to existing literature. Here, we only try to understand, in a synthetic way and from an engineering perspective, the HVS features on which the designer of a watermarking algorithm can rely, i.e. its sensitivity and masking capabilities.
We present a multi-resolution space carving algorithm that reconstructs a 3D model of a visual scene photographed by a calibrated digital camera placed at multiple viewpoints. Our approach employs a level set framewor...
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We present a multi-resolution space carving algorithm that reconstructs a 3D model of a visual scene photographed by a calibrated digital camera placed at multiple viewpoints. Our approach employs a level set framework for reconstructing the scene. Unlike most standard space carving approaches, our level set approach produces a smooth reconstruction composed of manifold surfaces. Our method outputs a polygonal model, instead of a collection of voxels. We texture-map the reconstructed geometry using the photographs, and then render the model to produce photo-realistic new views of the scene.
In this paper, we are interested in using multiwavelet transforms in the context of progressive and lossless coding of multi component images. More precisely, multiwavelet decompositions that map integers to integers ...
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In this paper, we are interested in using multiwavelet transforms in the context of progressive and lossless coding of multi component images. More precisely, multiwavelet decompositions that map integers to integers are considered since they guarantee a perfect reconstruction in the absence of quantizers. Generally, these decompositions are performed separately on each spectral component of a multicomponent image. Therefore, they fail to exploit the spectral redundancies. Our main contribution in this paper consists in modifying multiwavelet decompositions in order to take into account simultaneously the spatial and the spectral redundancies contained in a multicomponent image. Simulation tests carried out on natural multicomponent images show that the the generalized interband decomposition outperforms the state-of-art lossless coders.
Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viabl...
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Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viable compression algorithm. In this paper, we propose an extension of the zerotree-based space-frequency quantization (SFQ) algorithm by adding a wedgelet symbol to its tree-pruning optimization. This incorporates wedgelets into a rate-distortion compression framework and allows simple, coherent descriptions of the wavelet coefficients near edges. The resulting method yields improved visual quality and increased compression efficiency over the standard SFQ technique.
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