Potential of face area data for predicting sharpness of natural images

Mikko Nuutinen; Olli Orenius; Timo Säämänen; Pirkko Oittinen

doi:10.1117/12.871996

24 January 2011 Potential of face area data for predicting sharpness of natural images

Mikko Nuutinen, Olli Orenius, Timo Säämänen, Pirkko Oittinen

Proceedings Volume 7867, Image Quality and System Performance VIII; 786710 (2011) https://doi.org/10.1117/12.871996
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Face detection techniques are used for many different applications. For example, face detection is a basic component in many consumer still and video cameras. In this study, we compare the performance of face area data and freely selected local area data for predicting the sharpness of photographs. The local values were collected systematically from images, and for the analyses we selected only the values with the highest performance. The objective sharpness metric was based on the statistics of the wavelet coefficients for the selected areas. We used three image contents whose subjective sharpness values had been measured. The image contents were captured by 13 cameras, and the images were evaluated by 25 subjects. The quality of the cameras ranged from low-end mobile phone cameras to low-end compact cameras. The image contents simulated typical photos that consumers take with their mobile phones. The face area sizes on the images were approximately 0.4, 1.0 or 4.0 %. Based on the results, the face area data proved to be valuable for measuring the sharpness of the photographs if the face size was large enough. When the face area size was 1.0 or 4.0 %, the performance of the measured sharpness values was equal to or better than the sharpness values measured from the best local areas. When the face area was too small (0.4 %), the performance was low compared with the best local areas.

Citation Download Citation

Mikko Nuutinen, Olli Orenius, Timo Säämänen, and Pirkko Oittinen "Potential of face area data for predicting sharpness of natural images", Proc. SPIE 7867, Image Quality and System Performance VIII, 786710 (24 January 2011); https://doi.org/10.1117/12.871996

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