Neural network based system for assessing image quality

E. Vicario; I.E.J. Heynderickx; P. Gastaldo; R. Zunino

doi:10.1889/1.1832255

Neural network based system for assessing image quality

E. Vicario, I.E.J. Heynderickx, P. Gastaldo, R. Zunino

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This paper presents a system that applies neural‐network technologies to image quality assessment. The work addresses the estimation of perceived quality when an enhancement algorithm is applied to a static image. Objective features describing the image feed the neural network, which mimics the human perception and yields the estimated rating.

Original language	English
Title of host publication	SID03 DIGEST
Place of Publication	Hoboken
Publisher	Wiley
Chapter	P-19
Pages	272-275
Number of pages	4
DOIs	https://doi.org/10.1889/1.1832255
Publication status	Published - 2003
Externally published	Yes

Access to Document

10.1889/1.1832255

Cite this

@inproceedings{8dbc467e7ff9446bb95a269961a4ad03,

title = "Neural network based system for assessing image quality",

abstract = "This paper presents a system that applies neural‐network technologies to image quality assessment. The work addresses the estimation of perceived quality when an enhancement algorithm is applied to a static image. Objective features describing the image feed the neural network, which mimics the human perception and yields the estimated rating.",

author = "E. Vicario and I.E.J. Heynderickx and P. Gastaldo and R. Zunino",

year = "2003",

doi = "10.1889/1.1832255",

language = "English",

pages = "272--275",

booktitle = "SID03 DIGEST",

publisher = "Wiley",

address = "United States",

}

TY - GEN

T1 - Neural network based system for assessing image quality

AU - Vicario, E.

AU - Heynderickx, I.E.J.

AU - Gastaldo, P.

AU - Zunino, R.

PY - 2003

Y1 - 2003

N2 - This paper presents a system that applies neural‐network technologies to image quality assessment. The work addresses the estimation of perceived quality when an enhancement algorithm is applied to a static image. Objective features describing the image feed the neural network, which mimics the human perception and yields the estimated rating.

AB - This paper presents a system that applies neural‐network technologies to image quality assessment. The work addresses the estimation of perceived quality when an enhancement algorithm is applied to a static image. Objective features describing the image feed the neural network, which mimics the human perception and yields the estimated rating.

U2 - 10.1889/1.1832255

DO - 10.1889/1.1832255

M3 - Conference contribution

SP - 272

EP - 275

BT - SID03 DIGEST

PB - Wiley

CY - Hoboken

ER -

Neural network based system for assessing image quality

Abstract

Access to Document

Fingerprint

Cite this