Zobrazeno 1 - 8
of 8
pro vyhledávání: '"David M. Berfanger"'
Publikováno v:
APSIPA
Ipsilateral and contralateral head-related transfer functions (HRTF), $H_{\mathbf{ipsi}}(\omega, r,\phi,\theta)$ and $H_{\mathbf{contra}}(\omega, r,\phi,\theta)$ , are used for creating the perception of a virtual sound source at an arbitrary distanc
Publikováno v:
IEEE Transactions on Image Processing. 19:363-373
The information about the blur and noise of an original image is lost when a standard image thumbnail is generated by filtering and subsampling. Image browsing becomes difficult since the standard thumbnails do not distinguish between high-quality an
Publikováno v:
Color and Imaging Conference. 11:232-237
Publikováno v:
SPIE Proceedings.
The present disclosure relate generally to color science and digital watermarking. A full color visibility model has been developed which has good correlation to subjective visibility tests for color patches degraded with a watermark. A relatively be
Autor:
Nicholas George, David M. Berfanger
Publikováno v:
Applied optics. 38(2)
An all-digital ring-wedge detector system is presented that simulates the analog multielement array commonly used in coherent optoelectronic processors. The system is applicable with either hard-copy or digital imagery. Using neural-network software,
Publikováno v:
Human Vision and Electronic Imaging
Image thumbnails are used in most imaging products and applications, where they allow quick preview of the content of the underlying high resolution images. The question: "How would you best represent a high resolution original image given a fixed nu
Autor:
David M. Berfanger, Nicholas George
The focus of this study was theoretical and experimental research on topics in the fields of color half toning, image processing and compression, and image quality. Our goals in this research were to advance the understanding in image science for our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0beb7f9c4b237431c53897d9c7c7e56
https://doi.org/10.21236/ada369915
https://doi.org/10.21236/ada369915
Autor:
David M. Berfanger, Nicholas George
Publikováno v:
Applied Optics. 39:4080
In the automatic assessment of image quality we obtained a high accuracy in the classification of image degradations in a manner that is widely independent of scene content. Using an all-digital ring-wedge detector system combined with neural-network