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No-reference blur estimation based on the average cone ratio in the wavelet domain

Ljiljana Platisa UGent, Aleksandra Pizurica UGent, Ewout Vansteenkiste UGent and Wilfried Philips UGent (2011) Quality of Multimedia Experience, 3rd International workshop, Abstracts.
abstract
We propose a wavelet based metric of blurriness in the digital images named CogACR – Center of gravity of the Average Cone Ratio. The metric is highly robust to noise and able to distinguish between a great range of blurriness. To automate the CogACR estimation of blur in a no-reference scenario, we introduce a novel method for image classification based on edge content similarity. Our results indicate high accuracy of the CogACR metric for a range of natural scene images distorted with the out-of-focus blur. Within the considered range of blur radius of 0 to 10 pixels, varied in steps of 0.25 pixels, the proposed metric estimates the blur radius with an absolute error of up to 1 pixel in 80 to 90% of the images.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
image quality, CogACR estimation, edge detection, degradation free image, image restoration, average cone ratio, estimation theory, wavelet transform, blur estimation, electronic imaging, natural scene image, image distortion
in
Quality of Multimedia Experience, 3rd International workshop, Abstracts
conference name
3rd International workshop on Quality of Multimedia Experience (QoMEX - 2011)
conference location
Mechelen, Belgium
conference start
2011-09-07
conference end
2011-09-09
language
English
UGent publication?
yes
classification
C3
copyright statement
I have transferred the copyright for this publication to the publisher
id
1081506
handle
http://hdl.handle.net/1854/LU-1081506
date created
2010-12-02 09:35:07
date last changed
2012-11-13 16:35:23
@inproceedings{1081506,
  abstract     = {We propose a wavelet based metric of blurriness in the digital images named CogACR -- Center of gravity of the Average Cone Ratio. The metric is highly robust to noise and able to distinguish between a great range of blurriness. To automate the CogACR estimation of blur in a no-reference scenario, we introduce a novel method for image classification based on edge content similarity. Our results indicate high accuracy of the CogACR metric for a range of natural scene images distorted with the out-of-focus blur. Within the considered range of blur radius of 0 to 10 pixels, varied in steps of 0.25 pixels, the proposed metric estimates the blur radius with an absolute error of up to 1 pixel in 80 to 90\% of the images.},
  author       = {Platisa, Ljiljana and Pizurica, Aleksandra and Vansteenkiste, Ewout and Philips, Wilfried},
  booktitle    = {Quality of Multimedia Experience, 3rd International workshop, Abstracts},
  keyword      = {image quality,CogACR estimation,edge detection,degradation free image,image restoration,average cone ratio,estimation theory,wavelet transform,blur estimation,electronic imaging,natural scene image,image distortion},
  language     = {eng},
  location     = {Mechelen, Belgium},
  title        = {No-reference blur estimation based on the average cone ratio in the wavelet domain},
  year         = {2011},
}

Chicago
Platisa, Ljiljana, Aleksandra Pizurica, Ewout Vansteenkiste, and Wilfried Philips. 2011. “No-reference Blur Estimation Based on the Average Cone Ratio in the Wavelet Domain.” In Quality of Multimedia Experience, 3rd International Workshop, Abstracts.
APA
Platisa, L., Pizurica, A., Vansteenkiste, E., & Philips, W. (2011). No-reference blur estimation based on the average cone ratio in the wavelet domain. Quality of Multimedia Experience, 3rd International workshop, Abstracts. Presented at the 3rd International workshop on Quality of Multimedia Experience (QoMEX - 2011).
Vancouver
1.
Platisa L, Pizurica A, Vansteenkiste E, Philips W. No-reference blur estimation based on the average cone ratio in the wavelet domain. Quality of Multimedia Experience, 3rd International workshop, Abstracts. 2011.
MLA
Platisa, Ljiljana, Aleksandra Pizurica, Ewout Vansteenkiste, et al. “No-reference Blur Estimation Based on the Average Cone Ratio in the Wavelet Domain.” Quality of Multimedia Experience, 3rd International Workshop, Abstracts. 2011. Print.