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Gaussian blur

Known as: Blur, Gaussian interpolation, Gaussian smoothing 
In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function. It is a widely… 
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Related topics

Related topics

39 relations
Affective computingAliasingBilateral filterBlade Runner

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Image partial blur detection and classification
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images… 
Highly Cited
2007
Highly Cited
2007
Tailoring of arbitrary optical vector beams
We present a robust interferometric method to generate arbitrary vector beam modes by diffracting a Gaussian laser beam from a… 
Highly Cited
2005
Highly Cited
2005
Researching Entrepreneurship through Phenomenological Inquiry
In recent years, the study of entrepreneurship and small business has witnessed an emerging body of research that operates within… 
Highly Cited
1998
Highly Cited
1998
A new technique for interpolating the reflectance red edge position
The point of maximum slope on the reflectance spectrum of vegetation between red and near-infrared wavelengths, termed the red… 
Highly Cited
1995
Highly Cited
1995
Wavelets and image fusion
This paper describes an approach to image fusion using the wavelet transform. When images are merged in wavelet space, we can… 
Highly Cited
1994
Highly Cited
1994
Interprocedural may-alias analysis for pointers: beyond k-limiting
Existing methods for alias analysis of recursive pointer data structures are based on two approximation techniques: k-limiting… 
Highly Cited
1992
Highly Cited
1992
High-resolution image reconstruction from a low-resolution image sequence in the presence of time-varying motion blur
We address the problem of reconstruction of a high-resolution image from a sequence of low-resolution images containing arbitrary… 
Review
1989
Review
1989
Confocal scanning optical microscopy and its applications for biological specimens
Confocal scanning optical microscopy (CSOM) is a new optical microscopic technique, which offers significant advantages over… 
Highly Cited
1988
Highly Cited
1988
Image restoration using a neural network
An approach for restoration of gray level images degraded by a known shift invariant blur function and additive noise is… 
Highly Cited
1987
Highly Cited
1987
Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm
Convergence analysis of stochastic gradient adaptive filters using the sign algorithm is presented in this paper. The methods of… 
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