Dr. Muhammad Tahir Qadri Profile

Dr. Muhammad Tahir Qadri

at Univ of Essex

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 1 October 2011 Paper

Blurriness measurement in frequency domain for image quality assessment

Qadri Muhammad Tahir, Mehmood Noman, Aisha Tahir

Proceedings Volume 8285, 82853X (2011) https://doi.org/10.1117/12.914629

KEYWORDS: Image quality, Image processing, Edge detection, Databases, Receivers, Image compression, Visual system, Digital imaging, Video compression, Image analysis

Read Abstract +

DCT based digital image and video compression leads to visible distortions like blockiness and blurriness, however this paper mainly focuses blurriness artifact. Subjective quality assessments are reliable but they are very costly and can't be computerized. This paper proposes three different objective quality assessment methods for blurriness estimation using full reference, reduced reference and no reference approaches. The distortion is measured in frequency domain by comparing the high frequency coefficients of the coded image. Before blurriness estimation in frequency domain, the property of Human Visual System is implemented by applying the spatial masking in spatial domain. Since the distortion is not likely to be in same amount in every part of the coded image therefore the coded image is divided into blocks and the distortion is calculated locally for each block and accumulated in the end for a single quality metric. The results show that the full and reduced reference meters are more reliable due to the availability of some reference information at receiver end. The work is tested on different set of blurred images from LIVE image database and the Pearson's correlation coefficient of 94.43% is obtained for full reference mode while it is 94.20% and 82.03% for reduced reference and no reference respectively.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years