Zobrazeno 1 - 10
of 159
pro vyhledávání: '"V. Ralph Algazi"'
Autor:
Richard O. Duda, V. Ralph Algazi
Publikováno v:
IEEE Signal Processing Magazine. 28:33-42
With its power to transport the listener to a distant real or virtual world, realistic spatial audio has a significant role to II play for immersive communications. Headphone-based rendering is particularly attractive for mobile communications system
Publikováno v:
Algazi, Ralph; Avadhanam, Niranjan; & Estes, Robert R.(1998). Quality Measurement and Use of Pre-processing in Image Compression. Signal Processing. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/87n0c77z
Traditional quality measures for image coding, such as the peak signal-to-noise ratio, assume that the preservation of the original image is the desired goal. However, pre-processing images prior to encoding, designed to remove noise or unimportant d
Digital Processing of Satellite Data: Information Extraction and Potential Applications to Hydrology
Autor:
V. Ralph Algazi
Publikováno v:
Precipitation Analysis for Hydrologic Modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293551b518db8523f4a8be5c01e70dff
https://doi.org/10.1029/sp004p0001
https://doi.org/10.1029/sp004p0001
Autor:
V. Ralph Algazi, Jonathan Brandt
Publikováno v:
CVGIP: Image Understanding. 55:329-338
The skeleton of a continuous shape can be approximated from the Voronoi diagram of points sampled along the shape boundary. To bound the error of this approximation, one must relate the spatial complexity of the shape to the boundary sampling density
Publikováno v:
Journal of Visual Communication and Image Representation. 2:151-165
The medial axis transform (MAT) is a sparse representation of shape, which, being reversible, has potential for binary image compression. The MAT also provides structural information not accessible with alternative binary image codes. This structural
Publikováno v:
Medical Imaging: Image Processing
Enhancements are described for an approach that unies edge preserving smoothing with segmentation of time sequences of volumetric images, based on dierential edge detection at multiple spatial and temporal scales. Potential applications of these 4-D
Approximating the head-related transfer function using simple geometric models of the head and torso
Publikováno v:
The Journal of the Acoustical Society of America. 112(5 Pt 1)
The head-related transfer function (HRTF) for distant sources is a complicated function of azimuth, elevation and frequency. This paper presents simple geometric models of the head and torso that provide insight into its low-frequency behavior, espec
Publikováno v:
Algazi, Ralph; Avendano, Carlos; & Duda, Richard O. (2001). Elevation Localization and Head-Related Transfer Function Analysis at Low Frequencies. J. Acoust. Soc. Am., 109. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/7rf421w9
Monaural spectral features due to pinna diffraction are the primary cues for elevation. Because these features appear above 3 kHz where the wavelength becomes comparable to pinna size, it is generally believed that accurate elevation estimation requi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33884e90594475a0212695839e6319d6
http://www.escholarship.org/uc/item/7rf421w9
http://www.escholarship.org/uc/item/7rf421w9
Autor:
V. Ralph Algazi, Niranjan Avadhanam
Publikováno v:
SPIE Proceedings.
Conventional mean squared error based methods for objective image quality assessment are not well correlated with human evaluation. The design of better objective measures of quality has attracted a lot of attention and several image quality metrics
Publikováno v:
SPIE Proceedings.
We are investigating the important physical factors for the reproduction of the high-order sensation, such as 'the sense of existence' and 'the naturalness', in a display of images. In our research, a key assessment word, 'image depth', is a useful i