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Accurate Tools for Analyzing the Behavior of Impulse Noise Reduction Filters in Color Images  [PDF]
Fabrizio Russo
Journal of Signal and Information Processing (JSIP) , 2013, DOI: 10.4236/jsip.2013.41005

Effective cancellation of noise and preservation of color/structural information are features of paramount importance for any filter devoted to impulse noise removal in color images. In this paper novel full-reference tools for analyzing the behavior of this family of filters are presented. The proposed approach is based on the classification of color errors into two main classes that separately take into account the inaccuracy in removing noise pulses and the filtering distortion. The distortion errors are then classified into two subclasses for a deeper analysis of the filtering behavior. Computer simulations show that the proposed method gives more accurate results than using other measures of filtering performance in the literature. Furthermore, the method can easily yield the spatial location of the different filtering features in the image.

Piecewise Linear Model-Based Image Enhancement
Fabrizio Russo
EURASIP Journal on Advances in Signal Processing , 2004, DOI: 10.1155/s1687617204404041
Abstract: A novel technique for the sharpening of noisy images is presented. The proposed enhancement system adopts a simple piecewise linear (PWL) function in order to sharpen the image edges and to reduce the noise. Such effects can easily be controlled by varying two parameters only. The noise sensitivity of the operator is further decreased by means of an additional filtering step, which resorts to a nonlinear model too. Results of computer simulations show that the proposed sharpening system is simple and effective. The application of the method to contrast enhancement of color images is also discussed.
Performance Evaluation of Noise Reduction Filters for Color Images through Normalized Color Difference (NCD) Decomposition
Fabrizio Russo
ISRN Machine Vision , 2014, DOI: 10.1155/2014/579658
Abstract: Removing noise without producing image distortion is the challenging goal for any image denoising filter. Thus, the different amounts of residual noise and unwanted blur should be evaluated to analyze the actual performance of a denoising process. In this paper a novel full-reference method for measuring such features in color images is presented. The proposed approach is based on the decomposition of the normalized color difference (NCD) into three components that separately take into account different classes of filtering errors such as the inaccuracy in filtering noise pulses, the inaccuracy in reducing Gaussian noise, and the amount of collateral distortion. Computer simulations show that the proposed method offers significant advantages over other measures of filtering performance in the literature, including the recently proposed vector techniques. 1. Introduction It is known that removal of noise and preservation of color/structural information are very difficult and challenging issues in the design of image denoising filters [1]. Indeed, the quality of a filtered image is typically impaired by the superposition of two different effects: insufficient noise cancellation and unwanted collateral distortion produced by the filtering. Since the different amounts of these effects should separately be taken into account to analyze the behavior of any image denoising technique, the development of appropriate metrics is of paramount importance. Until recently, the most common methods to evaluate the quality of denoised images were combinations of visual inspection and objective measurements based on the computation of pixelwise differences between the original and the processed image. Typically, the mean squared error (MSE) or the peak signal-to-noise ratio (PSNR) was adopted to measure the noise cancellation, whereas the mean absolute error (MAE) represented the most commonly used metrics to evaluate the edge preservation. All the aforementioned measures are typically evaluated in the RGB coordinate system, that is, the most popular color space for a variety of applications. In order to deal with the human perception of colors (not adequately described by the RGB space), another kind of metrics, namely, the normalized color difference (NCD), was proposed [1–3]. Such measure is evaluated in the perceptually uniform CIE Luv (or CIE Lab) color spaces in order to appraise the perceptual closeness of a filtered picture to the uncorrupted original. The results of most filters in the literature have been evaluated by resorting to the aforementioned measures or
A fluid dynamics multidimensional model of biofilm growth: stability, influence of environment and sensitivity
Fabrizio Clarelli,Cristiana Di Russo,Roberto Natalini,Magali Ribot
Physics , 2014,
Abstract: In this article, we study in details the fluid dynamics system proposed in Clarelli et al (2013) to model the formation of cyanobacteria biofilms. After analyzing the linear stability of the unique non trivial equilibrium of the system, we introduce in the model the influence of light and temperature, which are two important factors for the development of cyanobacteria biofilm. Since the values of the coefficients we use for our simulations are estimated through information found in the literature, some sensitivity and robustness analyses on these parameters are performed. All these elements enable us to control and to validate the model we have already derived and to present some numerical simulations in the 2D and the 3D cases.
Differential Expression of IRS-1 and IRS-2 in Uterine Leiomyosarcomas with Distinct Oncogenic Phenotypes: Lack of Correlation with Downstream Signaling Events
Alfonso Colombatti,Pietro Russo,Marta Cervi,Laura Bogetto,Bruna Wassermann,Fabrizio Mainiero,Paola Spessotto
Sarcoma , 2002, DOI: 10.1080/1357714021000065387
Abstract: Purpose: Insulin receptor substrates (IRSs) are essential for insulin-induced mitogenic effects on several cell types but they also are involved in cell transformation.We investigated whether the differential constitutive expression and potential distinct downstream signaling events of IRS-1 and IRS-2 might be related to discrete tumourigenic phenotypes of three human uterine leiomyosarcoma cell lines, one of which was specifically isolated for the present study.
Relativistic Derivations of de Broglie and Planck-Einstein Equations  [PDF]
Fabrizio Logiurato
Journal of Modern Physics (JMP) , 2014, DOI: 10.4236/jmp.2014.51001

Special Relativity sets tight constraints on the form of the possible relations between the four-momentum of a particle and the wave four-vector. In fact, we demonstrate that there is just one way, according to Special Relativity, to relate the energy and the momentum of a corpuscle with the characteristics of a plane wave, frequency and wave vector, if the momentum has to flow in the same direction of the wave propagation: the laws must be of direct proportionality like de Broglie \"\" and Planck-Einstein \"\" equations.

Antinutritive Compounds in Twelve Camelina sativa Genotypes  [PDF]
Roberto Russo, Remo Reggiani
American Journal of Plant Sciences (AJPS) , 2012, DOI: 10.4236/ajps.2012.310170
Abstract: Camelina sativa is an oilseed crop becoming important in North America and Europe for biodiesel production. The use of Camelina flours in animal diet may be limited by antinutritive compounds. The content of glucosinolates, phytic acid, sinapine and condensed tannins was evaluated in twelve accessions of Camelina sativa. All compounds showed significant differences among genotypes. Only the concentration of glucosinolates in the flour deserves attention, while the content of phytic acid, sinapine and condensed tannins are to acceptable levels. Camelina showed the presence of three different glucosinolates (GSL1, GSL2 and GSL3) in the flour, with differences among genotypes regarding the relative abundance of each glucosinolate. The content of glucosinolates is inversely correlated with that of sinapine. The glucosinolate content in Camelina flour has to be reduced to increase the use of this flour in animal diet, but avoiding altering the sinapine content.
Problems of Connectivity between the Sylow Graph,the Prime Graph and the Non-Commuting Graph of a Group  [PDF]
Francesco G. Russo
Advances in Pure Mathematics (APM) , 2012, DOI: 10.4236/apm.2012.26058
Abstract: The Sylow graph of a finite group originates from recent investigations on certain classes of groups, defined in terms of normalizers of Sylow subgroups. The connectivity of this graph has been proved only last year with the use of the classification of finite simple groups (CFSG). A series of interesting questions arise naturally. First of all, it is not clear whether it is possible to avoid CFSG or not. On the other hand, what happens for infinite groups? Since the status of knowledge of the non-commuting graph and of the prime graph is satisfactory, is it possible to find relations between these two graphs and the Sylow graph? In the present note we make the point of the situation and formulate the above questions in appropriate way.
Variation in the Content of Cyanogenic Glycosides in Flaxseed Meal from Twenty-One Varieties  [PDF]
Roberto Russo, Remo Reggiani
Food and Nutrition Sciences (FNS) , 2014, DOI: 10.4236/fns.2014.515159

Flaxseed meal from twenty-one varieties has been evaluated for content of cyanogenic glycosides (linamarin, linustatin and neolinustatin). Varieties belonging to three different groups of productive attitude (oil, fiber and intermediate) were considered. The total content of cyanogenic glycosides ranged from 0.74 to 1.60 g?Kg?1 CN?. As expected, linamarin was a minority component accounting for only 2% - 14% of total glycosides. Linustatin resulted statistically lower in the intermediate group than that in the other groups and, in particular, it was the lowest in the Festival variety. Neolinustatin resulted lower in the fiber group although the variety Ventimiglia (belonging to oil group) showed a negligible level of this compound. Neolinustatin was positively correlated to total cyanogenic glycosides (r = 0.709) and inversely correlated to linustatin (r = ?0.326). The variability observed in the content of the various forms of glycosides could be exploited in breeding programs to reduce the content of these toxic compounds in flaxseed meal.

Evaluation of Protein Concentration, Amino Acid Profile and Antinutritional Compounds in Hempseed Meal from Dioecious and Monoecious Varieties  [PDF]
Roberto Russo, Remo Reggiani
American Journal of Plant Sciences (AJPS) , 2015, DOI: 10.4236/ajps.2015.61003
Abstract: Hempseed meal from three dioecious and three monoecious varieties has been evaluated for content and quality of the protein and for the concentration of antinutritional compounds. Hemp seeds were obtained from plants grown in two experimental fields for two consecutive years (2011-2012). For all the varieties, hempseed meal resulted in a rich source of protein (34% mean content) with an amino acid profile extremely rich in arginine and slightly poor in lysine. Differences between dioecious and monoecious varieties were observed in the content of antinutritional compounds. They were more concentrated in monoecious varieties in comparison with those dioecious. The concentration of phytic acid in hempseed meal deserves attention in both groups, being 63 and 75.4 g·kg-1 of dry matter in dioecious and monocieous varieties, respectively. The results show that, besides the recognized value of hemp oil, also the hempseed cake could find application in animal feed as a substitute of other cakes (soybean, rapeseed). From this point of view, the dioecious varieties showing lower contents of antinutritional compounds with respect to the monoecious varieties would be preferred.
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