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Tinwai D. Lam

dblp:191/1238 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1984
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 · 50% Computational photography and imaging · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image preprocessing › image correction
shading correction
0.011984
Imaging system response linearization and shading correction · ICRA 1984

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

lookup table · 0.0analytical function fitting · 0.0
YearPublicationVenuePosition
1984 Imaging system response linearization and shading correction
abstract
Shading correction of image sensors is a very important operation in visual inspection applications. The generation and application of shading correction with and without imaging system response linearization is discussed and demonstrated. The linearization is achieved by subtracting the dark current image and by applying a lookup table operation. The content of the lookup table is obtained by fitting an analytical function to the measured system response. The linearization enables the shading correction to be a linear operation. The quality of the linearization and the shading correction was evaluated using statistical parameters of the processed images. The results showed a substantial decrease in the standard deviation of the gray level distribution of uniform reference images.
Its'hak Dinstein, Fritz Merkle, Tinwai D. Lam, Kwan Y. Wong
ICRA3