A no-reference objective image sharpness metric based on just-noticeable blur and probability summation

Rony Ferzli, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

33 Citations (Scopus)

Abstract

This work presents a perceptual-based no-reference objective image sharpness/blurriness metric by integrating the concept of Just Noticeable Blur (JNB) into a probability summation model. Unlike existing objective no-reference image sharpness/blurriness metrics, the proposed metric is able to predict the relative amount of blurriness in images with different content. Results are provided to illustrate the performance of the proposed perceptual-based sharpness metric. These results show that the proposed sharpness metric correlates well with the perceived sharpness.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Volume3
DOIs
StatePublished - 2006
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • HVS
  • Image assessment
  • Image quality
  • No-reference
  • Objective
  • Perception
  • Sharpness metric

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ferzli, R., & Karam, L. (2006). A no-reference objective image sharpness metric based on just-noticeable blur and probability summation. In Proceedings - International Conference on Image Processing, ICIP (Vol. 3). [4379342] https://doi.org/10.1109/ICIP.2007.4379342

A no-reference objective image sharpness metric based on just-noticeable blur and probability summation. / Ferzli, Rony; Karam, Lina.

Proceedings - International Conference on Image Processing, ICIP. Vol. 3 2006. 4379342.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ferzli, R & Karam, L 2006, A no-reference objective image sharpness metric based on just-noticeable blur and probability summation. in Proceedings - International Conference on Image Processing, ICIP. vol. 3, 4379342, 14th IEEE International Conference on Image Processing, ICIP 2007, San Antonio, TX, United States, 9/16/07. https://doi.org/10.1109/ICIP.2007.4379342
Ferzli R, Karam L. A no-reference objective image sharpness metric based on just-noticeable blur and probability summation. In Proceedings - International Conference on Image Processing, ICIP. Vol. 3. 2006. 4379342 https://doi.org/10.1109/ICIP.2007.4379342
Ferzli, Rony ; Karam, Lina. / A no-reference objective image sharpness metric based on just-noticeable blur and probability summation. Proceedings - International Conference on Image Processing, ICIP. Vol. 3 2006.
@inproceedings{580cc45b328b470cbf088788315a7f53,
title = "A no-reference objective image sharpness metric based on just-noticeable blur and probability summation",
abstract = "This work presents a perceptual-based no-reference objective image sharpness/blurriness metric by integrating the concept of Just Noticeable Blur (JNB) into a probability summation model. Unlike existing objective no-reference image sharpness/blurriness metrics, the proposed metric is able to predict the relative amount of blurriness in images with different content. Results are provided to illustrate the performance of the proposed perceptual-based sharpness metric. These results show that the proposed sharpness metric correlates well with the perceived sharpness.",
keywords = "HVS, Image assessment, Image quality, No-reference, Objective, Perception, Sharpness metric",
author = "Rony Ferzli and Lina Karam",
year = "2006",
doi = "10.1109/ICIP.2007.4379342",
language = "English (US)",
isbn = "1424414377",
volume = "3",
booktitle = "Proceedings - International Conference on Image Processing, ICIP",

}

TY - GEN

T1 - A no-reference objective image sharpness metric based on just-noticeable blur and probability summation

AU - Ferzli, Rony

AU - Karam, Lina

PY - 2006

Y1 - 2006

N2 - This work presents a perceptual-based no-reference objective image sharpness/blurriness metric by integrating the concept of Just Noticeable Blur (JNB) into a probability summation model. Unlike existing objective no-reference image sharpness/blurriness metrics, the proposed metric is able to predict the relative amount of blurriness in images with different content. Results are provided to illustrate the performance of the proposed perceptual-based sharpness metric. These results show that the proposed sharpness metric correlates well with the perceived sharpness.

AB - This work presents a perceptual-based no-reference objective image sharpness/blurriness metric by integrating the concept of Just Noticeable Blur (JNB) into a probability summation model. Unlike existing objective no-reference image sharpness/blurriness metrics, the proposed metric is able to predict the relative amount of blurriness in images with different content. Results are provided to illustrate the performance of the proposed perceptual-based sharpness metric. These results show that the proposed sharpness metric correlates well with the perceived sharpness.

KW - HVS

KW - Image assessment

KW - Image quality

KW - No-reference

KW - Objective

KW - Perception

KW - Sharpness metric

UR - http://www.scopus.com/inward/record.url?scp=48149094784&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=48149094784&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2007.4379342

DO - 10.1109/ICIP.2007.4379342

M3 - Conference contribution

AN - SCOPUS:48149094784

SN - 1424414377

SN - 9781424414376

VL - 3

BT - Proceedings - International Conference on Image Processing, ICIP

ER -