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Sharon Urieli

dblp:61/1375 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 33% Audio and music processing · 33% Image and video coding · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding
image compression		 0.011998
Optimal reconstruction of images from localized phase · IEEE Trans. Image Process. 1998
Image and video processing
image reconstruction		 0.011998
Optimal reconstruction of images from localized phase · IEEE Trans. Image Process. 1998
Audio and music processing › acoustic signal processing › audio signal reconstruction
phase reconstruction		 0.011998
Optimal reconstruction of images from localized phase · IEEE Trans. Image Process. 1998

Methods — techniques the papers use, named apart from their topics

projection onto convex sets · 0.0convergence analysis · 0.0
YearPublicationVenuePosition
1998 Optimal reconstruction of images from localized phase
abstract
The importance of localized phase in signal representation is investigated. The convergence rate of the POCS algorithm (projection onto convex sets) used for image reconstruction from spectral phase is defined and analyzed, and the characteristics of images optimally reconstructed from phase-only information are presented. It is concluded that images of geometric form are most efficiently reconstructed from their spectral phase, whereas images of symmetric form have the poorest convergence characteristics. The transition between the two extremes is shown to be continuous. The results provide a new approach and analysis of the previously reported advantages of the localized phase representation over the global approach, and suggest possible compression schemes.
Sharon Urieli, Moshe Porat, Nir Cohen
 IEEE Trans. Image Process.1
1996 Optimal representation of images by localized phase
abstract
The POCS algorithm (projection onto convex sets) used for image reconstruction from spectral phase is investigated. The convergence rate of the algorithm is defined and analyzed, and the characteristics of images optimally represented by phase-only information are presented. It is concluded that images of geometric form are most efficiently represented by their spectral phase whereas images of symmetric form have the poorest convergence characteristics. The transition between the two extremes is shown to be continuous. The results provide a new approach and analysis of the reported advantages of the localized phase representation over the global approach, and suggest possible compression schemes.
Sharon Urieli, Moshe Porat, Nir Cohen
 ICASSP1
1996 Image characteristics and representation by phase: from symmetric to geometric structure
abstract
The representation of images by phase-only information is investigated. The iterative algorithm used for image reconstruction from phase is analyzed, and the characteristics of images optimally represented by phase-only information are presented. It is concluded that images of geometric structure are most efficiently represented by their spectral phase, whereas images of symmetric form have the poorest convergence characteristics.
Sharon Urieli, Moshe Porat, Nir Cohen
 ICIP (1)1