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Eden Sassoon

dblp:259/5373 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 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 · 61% Computational photography and imaging · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging › spectral imaging
hyperspectral imaging
0.412019
Flare in Interference-Based Hyperspectral Cameras · ICCV 2019
Image and video processing
image restoration
0.412019
Flare in Interference-Based Hyperspectral Cameras · ICCV 2019
Image and video processing › image restoration › artifact removal
lens flare removal
0.412019
Flare in Interference-Based Hyperspectral Cameras · ICCV 2019
Computational photography and imaging › spectral imaging
snapshot spectral imaging
0.112019
Flare in Interference-Based Hyperspectral Cameras · ICCV 2019

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

image formation model · 0.4deflaring · 0.4
YearPublicationVenuePosition
2019 Flare in Interference-Based Hyperspectral Cameras
abstract
Stray light (flare) is formed inside cameras by internal reflections between optical elements. We point out a flare effect of significant magnitude and implication to snapshot hyperspectral imagers. Recent technologies enable placing interference-based filters on individual pixels in imaging sensors. These filters have narrow transmission bands around custom wavelengths and high transmission efficiency. Cameras using arrays of such filters are compact, robust and fast. However, as opposed to traditional broad-band filters, which often absorb unwanted light, narrow band-pass interference filters reflect non-transmitted light. This is a source of very significant flare which biases hyperspectral measurements. The bias in any pixel depends on spectral content in other pixels. We present a theoretical image formation model for this effect, and quantify it through simulations and experiments. In addition, we test deflaring of signals affected by such flare.
Eden Sassoon, Tali Treibitz, Yoav Y. Schechner
ICCV1