Demo Data from EDBT 2026 / reviewers in the wild / expert
Eden Sassoon
dblp:259/5373
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational photography and imaging › spectral imaging
hyperspectral imaging |
0.4 | 1 | 2019 | Flare in Interference-Based Hyperspectral Cameras · ICCV 2019 |
Image and video processing
image restoration |
0.4 | 1 | 2019 | Flare in Interference-Based Hyperspectral Cameras · ICCV 2019 |
Image and video processing › image restoration › artifact removal
lens flare removal |
0.4 | 1 | 2019 | Flare in Interference-Based Hyperspectral Cameras · ICCV 2019 |
Computational photography and imaging › spectral imaging
snapshot spectral imaging |
0.1 | 1 | 2019 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Flare in Interference-Based Hyperspectral CamerasabstractStray 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 |
ICCV | 1 |