Abstract
Textures are being extensively used in next-generation video coding, image restoration and computer graphics wherein the stochastic and perceptual properties of textures are exploited. Given the prominence of texture content in image and video processing applications, texture quality assessment and objective quality metrics geared specifically towards texture are of particular importance. This paper outlines an extensive subjective study in which a total of 340 distorted images extracted from 10 reference images were evaluated by a group of 20 human subjects. The subjective Mean Opinion Scores (MOS) thus obtained from the study were used to evaluate several existing mainstream full reference quality metrics with the help of a recently developed quality assessment framework (IVQUEST). Based on the results obtained, it can be concluded that traditional objective metrics do not perform well on texture images and there is a need for specialized texture quality metrics.
| Original language | English (US) |
|---|---|
| Title of host publication | 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010 |
| DOIs | |
| State | Published - 2010 |
| Event | 44th Annual Conference on Information Sciences and Systems, CISS 2010 - Princeton, NJ, United States Duration: Mar 17 2010 → Mar 19 2010 |
Other
| Other | 44th Annual Conference on Information Sciences and Systems, CISS 2010 |
|---|---|
| Country | United States |
| City | Princeton, NJ |
| Period | 3/17/10 → 3/19/10 |
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ASJC Scopus subject areas
- Information Systems
- Information Systems and Management
Cite this
On the assessment of the quality of textures in visual media. / Gide, Milind S.; Karam, Lina.
2010 44th Annual Conference on Information Sciences and Systems, CISS 2010. 2010. 5464741.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - On the assessment of the quality of textures in visual media
AU - Gide, Milind S.
AU - Karam, Lina
PY - 2010
Y1 - 2010
N2 - Textures are being extensively used in next-generation video coding, image restoration and computer graphics wherein the stochastic and perceptual properties of textures are exploited. Given the prominence of texture content in image and video processing applications, texture quality assessment and objective quality metrics geared specifically towards texture are of particular importance. This paper outlines an extensive subjective study in which a total of 340 distorted images extracted from 10 reference images were evaluated by a group of 20 human subjects. The subjective Mean Opinion Scores (MOS) thus obtained from the study were used to evaluate several existing mainstream full reference quality metrics with the help of a recently developed quality assessment framework (IVQUEST). Based on the results obtained, it can be concluded that traditional objective metrics do not perform well on texture images and there is a need for specialized texture quality metrics.
AB - Textures are being extensively used in next-generation video coding, image restoration and computer graphics wherein the stochastic and perceptual properties of textures are exploited. Given the prominence of texture content in image and video processing applications, texture quality assessment and objective quality metrics geared specifically towards texture are of particular importance. This paper outlines an extensive subjective study in which a total of 340 distorted images extracted from 10 reference images were evaluated by a group of 20 human subjects. The subjective Mean Opinion Scores (MOS) thus obtained from the study were used to evaluate several existing mainstream full reference quality metrics with the help of a recently developed quality assessment framework (IVQUEST). Based on the results obtained, it can be concluded that traditional objective metrics do not perform well on texture images and there is a need for specialized texture quality metrics.
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UR - http://www.scopus.com/inward/citedby.url?scp=77953697758&partnerID=8YFLogxK
U2 - 10.1109/CISS.2010.5464741
DO - 10.1109/CISS.2010.5464741
M3 - Conference contribution
AN - SCOPUS:77953697758
SN - 9781424474172
BT - 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010
ER -