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… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image… (More)
  • table 1
  • table 2
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
2011
Highly Cited
2011
This paper presents a no-reference image blur metric that is based on the study of human blur perception for varying contrast… (More)
  • figure 1
  • figure 2
  • figure 3
  • table I
  • table II
Is this relevant?
Highly Cited
2010
Highly Cited
2010
Blur is caused by a pixel receiving light from multiple scene points, and in many cases, such as object motion, the induced blur… (More)
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 5
Is this relevant?
Highly Cited
2009
Highly Cited
2009
This work presents a perceptual-based no-reference objective image sharpness/blurriness metric by integrating the concept of just… (More)
  • figure 1
  • figure 2
  • table II
  • table I
  • table III
Is this relevant?
Highly Cited
2008
Highly Cited
2008
In this paper, we propose a new descriptor for texture classification that is robust to image blurring. The descriptor utilizes… (More)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
2007
Highly Cited
2007
To achieve the best image quality, noise and artifa cts re generally removed at the cost of a loss of details generating the blur… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2004
Highly Cited
2004
We present a fulland no-reference blur metric as well as a full-reference ringing metric. These metrics are based on an analysis… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2002
Highly Cited
2002
In this paper, we present a no-reference blur metric for images and video. The blur metric is based on the analysis of the spread… (More)
  • figure 2
  • figure 1
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2001
Highly Cited
2001
We address the problem of finding point correspondences in images by way of an approach to template matching that is robust under… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1997
Highly Cited
1997
The three main tools in the single image restoration theory are the maximum likelihood (ML) estimator, the maximum a posteriori… (More)
  • figure 1
  • figure 2
  • table I
  • figure 3
  • figure 4
Is this relevant?