2012
DOI: 10.3788/gzxb20124104.0472
|View full text |Cite
|
Sign up to set email alerts
|

A White Balance Method for Digital Microscope

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0

Year Published

2014
2014
2015
2015

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
1
0
Order By: Relevance
“…[7][8][9] GW hypothesis suggests that a color image is composed of three color components -R, G, and B; and the ratio of these components should tend to the same. This method estimates the illuminant using average color of the pixels and assumes that the average reflectance in a scene is achromatic.…”
Section: The Traditional Approachesmentioning
confidence: 99%
“…[7][8][9] GW hypothesis suggests that a color image is composed of three color components -R, G, and B; and the ratio of these components should tend to the same. This method estimates the illuminant using average color of the pixels and assumes that the average reflectance in a scene is achromatic.…”
Section: The Traditional Approachesmentioning
confidence: 99%
“…According to traditional methods, for a 24-bit RGB image, AWB needs to estimate scene color temperature and calculate chromatic aberration parameters. The Gary-world assumption and Perfect reflect theory are the most prevalent algorithms [6,7]. However, these assumptions involve a series of hypothesizes which are difficult to keep consistent with real scene.…”
Section: The Design Of Awb Algorithmmentioning
confidence: 99%