Error-resilience is an important feature of any image or video coding algorithm associated with transmission over noisy or multipath channels. in this paper, we present a robust coding algorithm based on a modified ve...
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ISBN:
(纸本)0819427497
Error-resilience is an important feature of any image or video coding algorithm associated with transmission over noisy or multipath channels. in this paper, we present a robust coding algorithm based on a modified version of the zerotree coding technique, The algorithm provides significantly improved error-resilience with minimum added redundancy while still. retaining the efficiency and scalability of tile original technique.
This paper deals with a class of morphological operators called connected operators. These operators interact with the signal by merging flat zones. As a result, they do not create any new contours and are very attrac...
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ISBN:
(纸本)0819424358
This paper deals with a class of morphological operators called connected operators. These operators interact with the signal by merging flat zones. As a result, they do not create any new contours and are very attractive for filtering tasks where the contours information has to be preserved. This paper focuses on a class of operators dealing with motion information. They remove from the original sequence the components that do not undergo a specific motion. They have a large number of applications including image sequence analysis with motion multiresolution decomposition and motion estimation.
The code generated by fractal coding of a digital image provides a resolution-independent representation of the image as this code can be decoded to generate a digital image at any resolution. When the image is decode...
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ISBN:
(纸本)0819424358
The code generated by fractal coding of a digital image provides a resolution-independent representation of the image as this code can be decoded to generate a digital image at any resolution. When the image is decoded at a size larger than the original encoded image, image details beyond the resolution of the original image are predicted by assuming local self-similarity in image at different scales. In this paper, we (1) present a formulation of how decoding may be done at a higher resolution, (2) evaluate the accuracy of the predicted details using a frequency analysis of fractally enlarged test images, and (3) propose a method for fractal resolution enhancement without the low-frequency loss of information due to fractal coding.
This paper presents an approach to realistic motion field estimation. In this approach, an image is first segmented into homogeneous regions using a new multiscale gradient algorithm followed by watershed transformati...
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ISBN:
(纸本)0819424358
This paper presents an approach to realistic motion field estimation. In this approach, an image is first segmented into homogeneous regions using a new multiscale gradient algorithm followed by watershed transformation. The multiscale gradient algorithm efficiently solves the over-segmentation problem of watershed transformation, increases segmentation accuracy and reduces the computational cost. The motion field is then estimated using block-matching with a consistency constraint. The consistency constraint function is defined by the neighboring motion vectors and the segmentation map. Simulation results show that the motion fields generated by the block-matching with consistency constraint are very smooth within each object, approaching realistic motion fields, even when a small block size is used.
We propose a new low-complexity entropy-coding method to be used for coding waveform signals. It is based on the combination of two schemes: (1) an alphabet partitioning method to reduce the complexity of the entropy-...
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ISBN:
(纸本)0819424358
We propose a new low-complexity entropy-coding method to be used for coding waveform signals. It is based on the combination of two schemes: (1) an alphabet partitioning method to reduce the complexity of the entropy-coding process;(2) a new recursive set partitioning entropy-coding process that achieves rates smaller than first order entropy even with fast Huffman adaptive codecs. Numerical results with its application for lossy and lossless image compression show the efficacy of the new method, comparable to the best known methods.
We address efficient context modeling in arithmetic coding for wavelet image compression. Quantized highpass wavelet coefficients are first mapped into a binary source, followed by high order context modeling in arith...
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ISBN:
(纸本)0819424358
We address efficient context modeling in arithmetic coding for wavelet image compression. Quantized highpass wavelet coefficients are first mapped into a binary source, followed by high order context modeling in arithmetic coding. A blending technique is used to combine results of context modeling of different orders into a single probability estimate. Experiments show that an arithmetic coder with efficient context modeling is capable of achieving a 10% bitrate saving (or 0.5 dB gain in PSNR) over a zeroth order adaptive arithmetic coder in high performance wavelet image coders.
This paper presents a new method for coding the chromatic component of a color image that exploits the piecewise-constant nature of chromatic information. The image is first transformed to a color space in which chrom...
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ISBN:
(纸本)0819427497
This paper presents a new method for coding the chromatic component of a color image that exploits the piecewise-constant nature of chromatic information. The image is first transformed to a color space in which chromatic information is nearly piecewise constant. The chromatic component is then represented by entries from a codebook of two-dimensional chromatic vectors adapted to the given image (two-dimensional vector quantization). Both memoryless quantization and quantization with spatial memory are considered. Finally, the field of labels is coded using a suitable lossless code with memory. we have used a context-dependent arithmetic code. Experimental results showing rate-distortion performance of-the method under various conditions are presented.
As 2-D image communication systems come into use widely, 3-D imaging technology enhancing the reality of visual communication is getting to be considered as a promising next-generation medium that can revolutionize in...
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ISBN:
(纸本)0819424358
As 2-D image communication systems come into use widely, 3-D imaging technology enhancing the reality of visual communication is getting to be considered as a promising next-generation medium that can revolutionize information systems. To date, 3-D image communication has not been discussed at a comprehensive level because several kinds of promising 3-D display technologies are still making rapid progress. Considering such a situation, this paper introduces the concept of the ''Integrated 3-D visual Communication System''. The key feature in this new concept is a display-independent neutral representation of visual data. The flexibility of this concept will promote the progress of 3-D image communication systems before the 3-D display technology reaches maturity. In this paper, for this purpose, ray-based approach is examined. In the present representation method, the whole ray data is equally treated as a set of orthogonal views of the scene objects. The advantage of this approach is to allow the synthesis of any perspective view by gathering appropriate ray data from the set of orthogonal views independently of any geometric representation. A real-time progressive transmission method has been also examined. The experimental results show how the present representation method could be applied to the next-generation 3-D image communication system.
In natural video sequences, object movement causes regions to be covered or uncovered. Conventional algorithms for region-based motion estimation do not take these regions into full account. Uncovered regions seriousl...
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ISBN:
(纸本)0819427497
In natural video sequences, object movement causes regions to be covered or uncovered. Conventional algorithms for region-based motion estimation do not take these regions into full account. Uncovered regions seriously decrease the accuracy of motion estimation. This paper presents an algorithm for increasing the motion estimation accuracy. This algorithm detects uncovered regions and uses them to improve image segmentation. Experimental results show that the presented algorithm is effective in reducing the displaced frame difference, without introducing any extra information for coding applications.
Model-supported exploitation is a new paradigam in image Understanding research. In this paradigm, three main technical areas have been identified: semi-automatic or automatic construction of site models, automated po...
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ISBN:
(纸本)0819424358
Model-supported exploitation is a new paradigam in image Understanding research. In this paradigm, three main technical areas have been identified: semi-automatic or automatic construction of site models, automated positioning of images to the sites, and monitoring of movable objects and construction activities. In this paper, we summarize recent progress in the detection and counting of vehicles in selected locales, monitoring and characterization of vehicle groupings. We present the algorithms used and the results obtained, The detection and counting method employs geometrical models and uses a spatial contour matching approach. The configuration detection method exploits knowledge of geometrical models in the frequency domain. The issues of parameter learning as well as sensitivity of the detection performance to misspecification of model and tuning parameters are briefly examined.
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