Compressed sensing is a widely used framework for signal reconstruction. In order to handle some practical cases in which the sparsity level is unknown, we present an improved sparsity adaptive matching pursuit (SAMP)...
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The dyes of common photographic three-color materials are chemically rather unstable. Restoration of faded materials by chemical processes, while possible for black-and-white photography, is not possible for color pho...
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The dyes of common photographic three-color materials are chemically rather unstable. Restoration of faded materials by chemical processes, while possible for black-and-white photography, is not possible for color photography, because dye fading is an irreversible process. A method to reconstruct faded color materials by digital imageprocessing is presented. The algorithms used for reconstruction are based on photographic experiments, i.e., accelerated fading tests of various photographic materials. Based on these tests, a mathematical model for the fading process can be determined. The method shows good results for color slides, prints, and motion pictures.
With the rapid growth of imageprocessing technologies, objective image Quality Assessment (IQA) is a topic where considerable research effort has been made over the last two decades. IQA algorithms based on image str...
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Urinary Tract Infections (UTIs) represent a significant health problem, both in hospital and community-based settings. Normally, UTIs are diagnosed by traditional methods, based on cultivation of bacteria on Petri dis...
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ISBN:
(数字)9783319198576
ISBN:
(纸本)9783319198576;9783319198569
Urinary Tract Infections (UTIs) represent a significant health problem, both in hospital and community-based settings. Normally, UTIs are diagnosed by traditional methods, based on cultivation of bacteria on Petri dishes, followed by a visual evaluation by human experts. In this paper, we present a fully automated system for the screening, that can provide quick and traceable results of UTIs. Actually, based on imageprocessing techniques and machine learning tools, the recognition of bacteria and the colony count are automatically carried out, yielding accurate results. The proposed system, called AID (Automatic Infections Detector) provides support during the whole analysis process: first digital color images of the Petri dishes are automatically captured, then specific preprocessing and spatial clustering algorithms isolate the colonies from the culture ground, finally an accurate classification of the infection types and their severity is performed. Some important aspects of AID are: reduced time, results repeatability, reduced costs.
Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Tr...
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This paper presents a study on the multilayer bottleneck autoencoder applied for thumbnail color image compression task using quaternionic neural nets (QNN). Existing state-of-the-art real-valued autoencoder architect...
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Summary form only given. The growing total cost of ownership has resulted in a shift away from the distributed model of desktop computing toward a more centralized server-based computing (SBC) model. In SBC, all appli...
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After giving a description of the three underlying standards of the digital video broadcasting system (DVB-S: satellite, DVB-C: cable and DVB-T: terrestrial), this paper discusses the synergy effects, which can be use...
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After giving a description of the three underlying standards of the digital video broadcasting system (DVB-S: satellite, DVB-C: cable and DVB-T: terrestrial), this paper discusses the synergy effects, which can be used to design a versatile multistandard digital television encoder with minimum hardware requirements. The paper shows the implementation possibilities of the signal-processingalgorithms in Complex Programmable Logic Devices (CPLDs) at the example of a highly integrated digital TV encoder, which has been realized at the Chair of Communications Technology for measurement purposes.
An optical design of digital light processing projector accommodating three pieces of micro digital mirror array display panels is presented. The system is configured by the combination of a color separation unit and ...
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ISBN:
(纸本)0819457140
An optical design of digital light processing projector accommodating three pieces of micro digital mirror array display panels is presented. The system is configured by the combination of a color separation unit and a color re-combination prism, which combines light signals from individual display panels and then directs the synthesized full color images projected onto the screen. The color separation unit comprises two dichroic filters set at 40 degrees with respect to the optical axis of the system and two reflecting mirrors with relay lens for guiding light. The color re-combination unit is constructed in the form of a modified x-prism for better achievement of image contrast, color saturation, and light efficiency. The present system out-performs systems based on the configuration of Philips prism in less occurrence of degraded image quality associated with the thermal influence of the optical engine, short optical path in prism and back focal length of the projection lens, and the physical size and weight of the unit. Comparisons in overall optical characteristics of the proposed system and those designed by means of various modules of single prism, which operates color separation and color combination processes along same optical path through the prism block will also be presented.
In recent years, driven by new standards and image brand, product quality has become highly critical in the food industry. Particularly concerning the beverage industry, the potential presence of very small foreign ob...
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In recent years, driven by new standards and image brand, product quality has become highly critical in the food industry. Particularly concerning the beverage industry, the potential presence of very small foreign objects, especially glass fragments, has to be checked. The visible optical domain offers an advantageous alternative solution to the expensive and intrusive x-ray systems. However, such a solution requires the development of robust processingalgorithms satisfying real-time industrial constraints, which is a very challenging task. A detection method based on kurtosis and local information that emphasizes connected components is proposed, as well as two robust criteria that give a greater robustness to the detector. A specific kurtosis is calculated using an inclined frame definition that is based on both time and spatial dimensions. Such kurtosis increases the detection capacity of the moving objects and allows the estimation of their direction without adding more costs. The kurtosis being very sensitive to outliers, noisy objects that are very small are filtered, allowing efficient detection of foreign objects, such as glass fragments, as long as they are bigger than the noisy objects. In case of big foreign objects, the low sensitivity of the kurtosis is compensated for by the large detected surface. The proposed detection method can be directly applied on video sequences acquired by a standard RGB camera in industrial environments. The experimental results show the effectiveness of the method in detecting real random foreign objects, regardless of their size or their transparency, in various semiopaque bottles. (C) 2020 SPIE and IS&T
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