Object

Title: A Novel Technique for No-Reference Image Quality

Abstract:

In this paper, a new measure for no-reference assessment of image quality based on the use of the structural properties of an image is proposed. As a measure, it is proposed to use the estimate of the Weibull distribution shape parameter, obtained by the set of image gradient magnitudes. This measure was previously successfully used to estimate the blurriness of the image. To test the effectiveness of the proposed measure, we used the data from the well-known TID2013 image database, which includes images of various types of distortions and corresponding mean opinion scores of the humans. The ability of the proposed measure is shown to distinguish the types of image distortions, which change the structural properties of an image.

Publisher:

IEEE

Identifier:

oai:noad.sci.am:136195

DOI:

10.1109/CSITechnol.2019.8895039

Language:

English

Journal or Publication Title:

2019 Computer Science and Information Technologies (CSIT)

URL:

click here to follow the link

Affiliation:

Institute for Informatics and Automation Problems of NAS RA

Country:

Armenia

Time period:

23-27 Sept. 2019

Place:

Yerevan, Armenia

Indexing:

WOS

Object collections:

Last modified:

May 3, 2021

In our library since:

Apr 20, 2021

Number of object content hits:

7

All available object's versions:

https://noad.sci.am/publication/149760

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