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Daniel Klöck

dblp:61/7559 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1

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 · 87% Visualization and visual analytics · 13%

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

TopicWeightPapersLastEvidence papers
Image and video processing › image enhancement
contrast enhancement
0.112011
Closed-Loop Feedback Illumination for Optical Inverse Tone-Mapping in Light Microscopy · IEEE Trans. Vis. Comput. Graph. 2011
Image and video processing
image enhancement
0.112011
Closed-Loop Feedback Illumination for Optical Inverse Tone-Mapping in Light Microscopy · IEEE Trans. Vis. Comput. Graph. 2011
Visualization and visual analytics › biological data visualization
microscopy visualization
0.012011
Closed-Loop Feedback Illumination for Optical Inverse Tone-Mapping in Light Microscopy · IEEE Trans. Vis. Comput. Graph. 2011

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

real-time modulation estimation · 0.1closed-loop illumination control · 0.1
YearPublicationVenuePosition
2011 Closed-Loop Feedback Illumination for Optical Inverse Tone-Mapping in Light Microscopy
abstract
In this paper, we show that optical inverse tone-mapping (OITM) in light microscopy can improve the visibility of specimens, both when observed directly through the oculars and when imaged with a camera. In contrast to previous microscopy techniques, we premodulate the illumination based on the local modulation properties of the specimen itself. We explain how the modulation of uniform white light by a specimen can be estimated in real time, even though the specimen is continuously but not uniformly illuminated. This information is processed and back-projected constantly, allowing the illumination to be adjusted on the fly if the specimen is moved or the focus or magnification of the microscope is changed. The contrast of the specimen's optical image can be enhanced, and high-intensity highlights can be suppressed. A formal pilot study with users indicates that this optimizes the visibility of spatial structures when observed through the oculars. We also demonstrate that the signal-to-noise (S/N) ratio in digital images of the specimen is higher if captured under an optimized rather than a uniform illumination. In contrast to advanced scanning techniques that maximize the S/N ratio using multiple measurements, our approach is fast because it requires only two images. This can improve image analysis in digital microscopy applications with real-time capturing requirements.
Oliver Bimber, Daniel Klöck, Toshiyuki Amano, Anselm Grundhöfer, Daniel Kurz
IEEE Trans. Vis. Comput. Graph.2