1,721,218 research outputs found
Perceptual comparison of demosaicing algorithms and in-camera demosaicing with JPEG compression
No full textColor image acquisition in digital cameras is often performed by using CCD or CMOS sensor chips with a color filter array on the top of a single monochromatic sensor. In this paper, a perceptual comparison is per- formed among three well known demosaicing algorithms plus in-camera demosaicing with lossy compression JPEG, by means of subjective tests, that is with the help of human beings. The novelty of the approach is that chosen algorithms have been selected as representative of those used in commercial raw image converters used by professionals in graphics and that the test has been performed on a large number of people, achieving results only partially similar to the results got by means of computed metrics. The results show that in the greatest part of conditions and for non particularly expert users, the capability of the most advanced demosaic- ing algorithms of producing an almost perfect reconstruction on the full-color image is not strictly required. Only for selected categories of images it is possible to find a clear winner among the algorithm
Toner savings based on quasi-random sequences and a perceptual study for green printing
No full textToner savings in monochromatic printing are an important target for improving green computing performance and more specifically green printing. In order to extend the lifetime of the printer cartridge some options are available for laser printers, usually reducing the number of dots with respect to the normal print quality. However available algorithms and patents do not provide a method for dynamically adapting the percentage of toner savings to the required printing quality. In this paper, we introduce a new quasi-random sequence based algorithm for reducing the number of dots in the printing process, able to achieve optimal discrepancy and low computational complexity, for all print quality levels. In order to reduce patterns in the removed dots, blue noise dithering is applied when the desired percentage of toner savings is moderate. The proposed solution can be easily implemented in the printer firmware, given its low computational complexity. In order to verify the results from a perceptual point of view, an extended test with 135 volunteers and more than 5000 comparisons has been performed, besides checking that toner is effectively saved. Results show that the proposed approach can produce a reduction of the perceived quality almost directly proportional to the number of monochromatic dots skipped, with only a reduced influence from the font used. The perceptual results are better in the proposal than in previous approaches. The proposed algorithm appears to be a promising technique for improving green printing in monochromatic laser printers without using custom fonts
Ubiquitous real-time monitoring of critical-care patients in intensive care units
No full textThis paper presents the preliminary results in the development of a framework for ubiquitous monitoring in a Intensive Care Unit environment, which aims at enabling mobile access to real-time bedside monitoring data and to a comprehensive electronic patient's clinical record at any moment in time and from any location, by means of a PDA device capable of secure wireless communications. The main goal of the proposed architecture is to optimise the employment of human resources involved in monitoring activities, while at the same time enhancing the quality of delivered services and improving the level of attention to patients
Segmentation of in-vitro endothelial cell networks
No full textVasculogenesis is defined as the sprouting of new blood vessels by expansion of the endothelium by proliferation, migration and remodeling. Vasculogenesis is fundamental to wound healing, reproduction as well as embryonic development. Moreover, it is involved in tumor growth, tumor metastasis and other pathological processes. The availability of dedicated image-based analysis systems would constitute an invaluable support in understanding biological phenomena regulating vasculogenesis processes. In this paper we present an unsupervised segmentation technique which allows for accurate classification of blood vessel networks in in-vitro microscopy images. Results achieved through the proposed technique are validated and compared with experimental observations
On Improving Automation by Integrating RFID in the Traceability Management of the Agri-Food Sector
Full text linkTraceability is a key factor for the agri-food sector. RFID technology, widely adopted for supply chain management, can be used effectively for the traceability management. In this paper, a framework for the evaluation of a traceability system for the agri-food industry is presented and the automation level in an RFID-based traceability system is analyzed and compared with respect to traditional ones. Internal and external traceability are both considered and formalized, in order to classify different environments, according to their automation level. Traceability systems used in a sample sector are experimentally analyzed, showing that by using RFID technology, agri-food enterprises increase their automation level and also their efficiency, in a sustainable wa
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