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Grayscale Color Map

Known as: Grayscale 
A color map composed of shades of gray, varying from black at the weakest intensity to white at the strongest.
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
An Underwater Color Image Quality Evaluation Metric
Quality evaluation of underwater images is a key goal of underwater video image retrieval and intelligent processing. To date, no… 
Highly Cited
2013
Highly Cited
2013
Electrically tunable excitonic light-emitting diodes based on monolayer WSe2 p-n junctions.
The development of light-emitting diodes with improved efficiency, spectral properties, compactness and integrability is… 
Highly Cited
2013
Highly Cited
2013
Processing
Processing: Creative Coding and Generative Art in Processing 2is a fun and creative approach to learning programming. Using the… 
Highly Cited
2012
Highly Cited
2012
Distance Transforms of Sampled Functions
We describe linear-time algorithms for solving a class of problems that involve transforming a cost function on a grid using… 
Review
2010
Review
2010
Assessment of myocardial mechanics using speckle tracking echocardiography: fundamentals and clinical applications.
Highly Cited
2007
Highly Cited
2007
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of… 
Highly Cited
2007
Highly Cited
2007
Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images
The shape-adaptive discrete cosine transform (SA-DCT) transform can be computed on a support of arbitrary shape, but retains a… 
Highly Cited
2000
Highly Cited
2000
Cortical Regions Involved in Perceiving Object Shape
The studies described here use functional magnetic resonance imaging to test whether common or distinct cognitive and/or neural… 
Highly Cited
1999
Highly Cited
1999
Pyramidal implementation of the lucas kanade feature tracker
1 Problem Statement Let I and J be two 2D grayscaled images. The two quantities I(x) = I(x, y) and J(x) = J(x, y) are then the… 
Review
1993
Review
1993
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
Two different formal definitions of gray-scale reconstruction are presented. The use of gray-scale reconstruction in various… 
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