The Impact of Spatial Masking in Image Quality Meters

M.T. Qadri; M. Ghanbari; K.T. Tan

The Impact of Spatial Masking in Image Quality Meters

M.T. Qadri * §

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M. Ghanbari

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K.T. Tan

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Univerity of Essex

The Impact of Spatial Masking in Image Quality Meters

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Abstract

Compression of digital image and video leads to block-based visible distortions like blockiness. The PSNR quality metric doesn’t correlate well with the subjective metric as it doesn’t take into consideration the impact of human visual system. In this work, we study the impact of human visual system in masking the coding distortions and its effect on the accuracy of the quality meter. We have chosen blockiness which is the most common coding distortion in DCTbased JPEG or intra-coded video. We have studied the role of spatial masking by applying different masking techniques on full, reduced and no reference meters. As the visibility of distortion is content dependent, the distortion needs to be masked according to the spatial activity of the image. The results show that the complexity of spatial masking may be reduced by using the reference information efficiently. For full and reduced reference meters the spatial masking hasn’t much importance, if the blockiness detection is accurate, while for the no reference meter spatial masking is required to compensate the absence of any required reference information.

References

14 Cites in Article

Reference Format

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Live website for subjective scores MOS.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

M.T. Qadri, M. Ghanbari, K.T. Tan. 1970. "The Impact of Spatial Masking in Image Quality Meters". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 20).

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GJCST Volume 11 Issue 20

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Blockiness Measurement Frequency Domian Analysis Image Quality Assessment Spatial Masking

Classification

GJCST Classification I.4.8

I.4.7

Submission ReceivedOctober 27, 2011
Peer Review Double Blind
Handling Editor
Accepted November 22, 2011
Published December 2, 2011

Version of record

v1.2

Language

English

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Article Matrices

Total Score: 173

Country: United Kingdom

Subject: Global Journal of Computer Science and Technology

Authors: M.T. Qadri, K.T. Tan,M. Ghanbari (PhD/Dr. count: 0)

View Count (all-time): 223

Total Views (Real + Logic): 8279

Total Downloads (simulated): 547

Publish Date: 2011 12, Fri

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Total Views: 8.3K

Total Downloads: 547

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