Blind image quality assessment considering blur, noise, and JPEG compression distortions

Erez Cohen; Yitzhak Yitzhaky

doi:10.1117/12.736048

24 September 2007 Blind image quality assessment considering blur, noise, and JPEG compression distortions

Erez Cohen, Yitzhak Yitzhaky

Proceedings Volume 6696, Applications of Digital Image Processing XXX; 669629 (2007) https://doi.org/10.1117/12.736048
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

The quality of images may be severely degraded in various situations such as imaging during motion, sensing through a diffusive medium, high compression rate and low signal to noise. Often in such cases, the ideal un-degraded image is not available (no reference exists). This paper overviews past methods that dealt with no-reference (NR) image quality assessment, and then proposes a new NR method for the identification of image distortions and quantification of their impacts on image quality. The proposed method considers both noise and blur distortion types that individually or simultaneously exist in the image. Distortion impacts on image quality are evaluated in the spatial frequency domain, while noise power is further estimated in the spatial domain. Specific distortions addressed here include additive white noise, Gaussian blur, de-focus blur, and JPEG compression. Estimation results are compared to the true distortion quantities, over a set of 75 different images.

Citation Download Citation

Erez Cohen and Yitzhak Yitzhaky "Blind image quality assessment considering blur, noise, and JPEG compression distortions", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 669629 (24 September 2007); https://doi.org/10.1117/12.736048

ACCESS THE FULL ARTICLE

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