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Grayscale

Known as: Gray-scale, Shades of gray (color), Grey level 
In photography and computing, a grayscale or greyscale digital image is an image in which the value of each pixel is a single sample, that is, it… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among… 
Highly Cited
2010
Highly Cited
2010
Brightness preserving dynamic fuzzy histogram equalization
This paper proposes a novel modification of the brightness preserving dynamic histogram equalization technique to improve its… 
Highly Cited
2010
Highly Cited
2010
Real-Time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid
We introduce a real-time stereo matching technique based on a reformulation of Yoon and Kweon's adaptive support weights… 
Highly Cited
2009
Highly Cited
2009
Time-of-Flight Sensors in Computer Graphics
A growing number of applications depend on accurate and fast 3D scene analysis. Examples are model and lightfield acquisition… 
Review
2008
Review
2008
Perceptual Evaluation of Color‐to‐Grayscale Image Conversions
Color images often have to be converted to grayscale for reproduction, artistic purposes, or for subsequent processing. Methods… 
Highly Cited
2005
Highly Cited
2005
Steganalysis of LSB matching in grayscale images
We consider the problem of detecting spatial domain least significant bit (LSB) matching steganography in grayscale images, which… 
Highly Cited
2004
Highly Cited
2004
Improved Detection of LSB Steganography in Grayscale Images
We consider methods for answering reliably the question of whether an image contains hidden data; the focus is on grayscale… 
Highly Cited
1994
Highly Cited
1994
Color Image Segmentation using Competitive Learning
Presents a color image segmentation method which divides the color space into clusters. Competitive learning is used as a tool… 
Review
1989
Review
1989
Object-background segmentation using new definitions of entropy
The definition of Shannon's entropy in the context of information theory is critically examined and some of its applications to… 
Highly Cited
1983
Highly Cited
1983
Histogram concavity analysis as an aid in threshold selection
A well-known heuristic for segmenting an image into gray level subpopulations is to select thresholds at the bottoms of valleys… 
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