The proceedings contains 7 papers from the iee colloquium on fractals in signal and image processing. Topics discussed include: retinotic maps;domain block pixels;Jacquin coding method;fractal interpolation function (...
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The proceedings contains 7 papers from the iee colloquium on fractals in signal and image processing. Topics discussed include: retinotic maps;domain block pixels;Jacquin coding method;fractal interpolation function (FIF) codes;iterated function system (IFS) codes;multiresolution approximation;and fractal transforms.
The proceedings contains 14 papers. Topics discussed include nonlinear processing techniques, video and film restoration, system identification, filtering, film sequences, image distortions, colour images and signal m...
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The proceedings contains 14 papers. Topics discussed include nonlinear processing techniques, video and film restoration, system identification, filtering, film sequences, image distortions, colour images and signal modeling.
Iterated function system (IFS)-based fractal image compression algorithm stands out as the most promising direction for further research and development. The basic idea is to represent an image by fractals. Each fract...
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Iterated function system (IFS)-based fractal image compression algorithm stands out as the most promising direction for further research and development. The basic idea is to represent an image by fractals. Each fractal is then represented by a so called IFS which consists of a group of affine transformations. An input image can virtually represented by a group of IFS codes rather than pixels. In this way, a compression ratio as high as 10000:1 can be achieved. Since the image is represented by fractals and each IFS consists of affine transformations, the key point for this algorithm is to find the affine transformation for each fractal and to find fractals which can best describe the original image.
A multiresolution approximation framework, provided by fractal transforms to any function in L2(Rd) for d≥1 and which is quite similar to the framework provided by wavelets, is presented. A theoretical support is giv...
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A multiresolution approximation framework, provided by fractal transforms to any function in L2(Rd) for d≥1 and which is quite similar to the framework provided by wavelets, is presented. A theoretical support is given for the success of the signal/image compression algorithm using the fractal transform. For the sake of simplicity, only a one-dimensional case is discussed.
A fractal analysis procedure for the processing of visual textures is investigated. The method uses second-order spatial statistics to calculate the rate of change of a local estimate of the fractal dimension over dif...
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A fractal analysis procedure for the processing of visual textures is investigated. The method uses second-order spatial statistics to calculate the rate of change of a local estimate of the fractal dimension over different scales and orientations. Possible deficiencies caused by aliasing within a known technique are examined, together with the performance of a modified version which incorporates appropriate filtering. Results with the modified technique show that it is able to test the validity of the fractal model for real visual textures.
Fractal coding offers many promising qualities, such as high compression ratio, good image quality and resolution independence of the decoded image. The encoding process suffers, however, from the long search time of ...
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Fractal coding offers many promising qualities, such as high compression ratio, good image quality and resolution independence of the decoded image. The encoding process suffers, however, from the long search time of the domain block pool. A scheme to speed up the search is presented, as well as an incremental procedure which limits the domain block pixels, given range block and an upper bound on their distance. The domain blocks are arranged in a tree and navigated to select a small number of candidate blocks. Experiments show that the encoding process speeds up by up to 50 times.
Fractal dimension has the potential to be a useful measure of short term irregularity in fetal heart rate (FHR) recordings. It can provide a quantitative measure of short term variability superior to first order stati...
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Fractal dimension has the potential to be a useful measure of short term irregularity in fetal heart rate (FHR) recordings. It can provide a quantitative measure of short term variability superior to first order statistics and is simple to calculate. The parameter D provides an analysis of what the clinician is looking at. However, because of the complex nature of FHR variation, D should not be used in isolation but a complete analysis should include the calculation of areas above and below the baseline in order that important features such as accelerations and decelerations can be recognized and assessed.
A VLSI architecture for flexible-size fractal image coding is proposed. The main features of this architecture are that it is capable of performing fractal image coding based on quadtree partitioning without the exter...
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A VLSI architecture for flexible-size fractal image coding is proposed. The main features of this architecture are that it is capable of performing fractal image coding based on quadtree partitioning without the external memory for the fixed domain pool and uses only local data communication. Since large domain blocks consist of small domain blocks, the calculations of distortion for all kinds of domain block are performed using only the domain pool, which is extracted from the smallest range blocks of the neighbouring processors. This architecture has a fast comparison module which can compute the distortions between a range block and the eight isometric transformations of domain blocks by one full rotation around the centre.
The colloquium proceedings contains 14 papers on optical signalprocessing, electrooptical devices and their applications in diverse areas. Photorefractive materials for optical processing applications, optical fiber ...
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The colloquium proceedings contains 14 papers on optical signalprocessing, electrooptical devices and their applications in diverse areas. Photorefractive materials for optical processing applications, optical fiber signalprocessing, electrooptical sensors, optical synthetic aperture radar processing, real-time optical pattern recognition, spatial light modulators, and optical correlator systems are the main topics of the papers.
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