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In this paper we address the problem of producing an enlarged picture from a given digital image (zooming). We propose a method that tries to take into account information about discontinuities or sharp luminance variations while doubling the input picture. This is realized by a multiple scan of the zoomed image and could hence be implemented with limited(More)
This paper presents a video stabilization algorithm based on the extraction and tracking of scale invariant feature transform features through video frames. Implementation of SIFT operator is analyzed and adapted to be used in a feature-based motion estimation algorithm. SIFT features are extracted from video frames and then their trajectory is evaluated to(More)
The aims of the study were to evaluate the role of beauty treatments in the spread of acute viral hepatitis B (HBV) and acute viral hepatitis C (HCV) in Italy. Data from the surveillance system for acute viral hepatitis (SEIEVA) during the period 1997-2002 were used. After exclusion of subjects <15 years or >55 years old and reporting intravenous drug use(More)
BACKGROUND Little is known about the prevalence of heart failure among very old people, although hospitalisation rates for chronic heart failure are very high. Recently, brain natriuretic peptides have emerged as important diagnostic and prognostic serum markers for congestive heart failure. AIMS The main purpose of our study was to determine whether(More)
In this paper we present some analysis techniques and indexing strategies aimed to support classification and retrieval of textures using only perceptual features. The goal of this research is to provide a visual system that starting from graphical cues representing relevant perceptual features of texture, interactively searches the most similar texture in(More)
We present a multi-GPU version of GPUSPH, a CUDA implementation of fluid-dynamics models based on the smoothed particle hydrodynamics (SPH) numerical method. The SPH is a well-known Lagrangian model for the simulation of free-surface fluid flows; it exposes a high degree of parallelism and has already been successfully ported to GPU. We extend the GPU-based(More)
Art often provides valuable hints for technological innovations especially in the field of Image Processing and Computer Graphics. In this paper we survey in an unified framework several methods to transform a raster input image into good quality mosaics. The common and different ideas among the methods are reported and described. Finally we try to address(More)
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We propose the microarray image rotation algorithm (MIRA) and the statistical gridding pipeline (SGRIP) as two advanced modules devoted to restoring the original microarray grid(More)
An innovative algorithm for automatic generation of Huffman coding tables for semantic classes of digital images is presented. Collecting statistics over a large dataset of corresponding images, we generated Huffman tables for three images classes: landscape, portrait and document. Comparisons between the new tables and the JPEG standard coding tables,(More)