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Your search keyword '"Reichenbach, Stephen E."' showing total 349 results
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349 results on '"Reichenbach, Stephen E."'

22. GCxGC--TOF-MS and Comprehensive Fingerprinting of Volatiles in Food: Capturing the Signature of Quality

Author

Stilo, Federico, Liberto, Erica, Bicchi, Carlo, Reichenbach, Stephen E., and Cordero, Chiara

Subjects
Olive oil -- Quality management, Data processing, Chromatography, Spectroscopy, Cocoa, Backup software, Production management, Gas chromatography, Food additives industry, Chemistry, Science and technology
Abstract

Chemical fingerprinting can provide evidence for quality differences resulting from botanical and geographical origins of primary food ingredients, post-harvest practices, production processes (such as traditional versus industrial processes), and the [...]

Published
2019

35. UNLOCKING THE FUTURE OF COMPREHENSIVE TWO-DIMENSIONAL CHROMATOGRAPHY IN FOOD-OMICS BY ARTIFICIAL INTELLIGENCE ALGORITHMS

Author

Cordero, C., Squara, S., Caratti, A., Alladio, E., Vincenti, M., RIBEIRO BIZZO, Humberto, Reichenbach, Stephen E., and Bicchi, C.

Subjects
comprehensive two-dimensional gas chromatography, food sensory quality, comprehensive two-dimensional gas chromatography, Artificial Intelligence (AI), computer vision, food sensory quality, Artificial Intelligence (AI), computer vision
Published
2022

36. PROGRESS IN HAZELNUT QUALITY ASSESSMENT VIA ARTIFICIAL INTELLIGENCE (AI) SMELLING BASED ON GC×GC

Author

Squara, Simone, Caratti, Andrea, Liberto, Erica, Bicchi, Carlo, Reichenbach, Stephen E., and Cordero, Chiara Emilia Irma

Subjects
AI smelling machine, comprehensive two-dimensional gas chromatography, headspace solid-phase microextraction, hazelnut, headspace solid-phase microextraction, hazelnut, AI smelling machine, comprehensive two-dimensional gas chromatography
Published
2022

38. Study of the high quality extra-virgin olive oils volatilome: potentiality of 'comprehensive' two-dimensional gas chromatography for the discrimination of olive cultivation methodologies

Author

Caratti, Andrea, Squara, Simone, Liberto, Erica, Bicchi, Carlo, Reichenbach, Stephen E., Raquel Maria Callejon Fernandez, Luis Cuadros Rodriguez, and Cordero, Chiara Emilia Irma

Subjects
comprehensive two-dimensional gas chromatography, untargeted/targeted UT fingerprinting, extra-virgin olive oil, organic cultivation, aroma blueprint, untargeted/targeted UT fingerprinting, organic cultivation, extra-virgin olive oil, aroma blueprint
Published
2022

46. Image interpolation by two-dimensional parametric cubic convolution

Author

Jiazheng Shi and Reichenbach, Stephen E.

Subjects
Image processing -- Analysis, Autocorrelation (Statistics) -- Usage, Interpolation -- Usage, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Nonseparable cubic convolution for image interpolation is investigated and two nonseparable, two-dimensional cubic -convolution kernels are derived. A closed-form solution is also developed for determining the optimal parameter values for parametric cubic-convolution kernels with respect to ensembles of scenes characterized by autocorrelation (or power spectrum), establishing a practical foundation for adaptive interpolation based on local autocorrelation estimates.

Published
2006

47. Small-kernel superresolution methods for microscanning imaging systems

Author

Shi, Jiazheng, Reichenbach, Stephen E., and Howe, James D.

Subjects
Imaging systems -- Analysis, Imaging technology, Astronomy, Physics
Abstract

Two computationally efficient methods for superresolution reconstruction and restoration of microscanning imaging systems are presented. Microscanning creates multiple low-resolution images with slightly different sample--scene phase shifts. The digital processing methods developed here combine the low-resolution images to produce an image with higher pixel resolution (i.e., superresolution) and higher fidelity. The methods implement reconstruction to increase resolution and restoration to improve fidelity in one-pass convolution with a small kernel. One method uses a small-kernel Wiener filter and the other method uses a parametric cubic convolution filter. Both methods are based on an end-to-end, continuous--discrete--continuous microscanning imaging system model. Because the filters are constrained to small spatial kernels they can be efficiently applied by convolution and are amenable to adaptive processing and to parallel processing. Experimental results with simulated imaging and with real microscanned images indicate that the small-kernel methods efficiently and effectively increase resolution and fidelity. OCIS codes: 100.6640, 100.3020, 100.2000.

Published
2006

49. An effective chromatographic fingerprinting workflow based on comprehensive two-dimensional gas chromatography – Mass spectrometry to establish volatiles patterns discriminative of spoiled hazelnuts (Corylus avellana L.)

Author

Stilo, Federico, primary, Liberto, Erica, additional, Spigolon, Nicola, additional, Genova, Giuseppe, additional, Rosso, Ginevra, additional, Fontana, Mauro, additional, Reichenbach, Stephen E., additional, Bicchi, Carlo, additional, and Cordero, Chiara, additional

Published
2021
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50. Two-dimensional cubic convolution

Author

Reichenbach, Stephen E. and Geng, Frank

Subjects
Image processing -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Two-dimensional (2-D), nonseparable, piecewise cubic convolution (PCC) for image interpolation is described and discussed.

Published
2003

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