Fast image interpolation for motion estimation using graphics hardware

Francis Kelly; Anil Kokaram

doi:10.1117/12.526400

18 May 2004 Fast image interpolation for motion estimation using graphics hardware

Francis Kelly, Anil Kokaram

Proceedings Volume 5297, Real-Time Imaging VIII; (2004) https://doi.org/10.1117/12.526400
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Motion estimation and compensation is the key to high quality video coding. Block matching motion estimation is used in most video codecs, including MPEG-2, MPEG-4, H.263 and H.26L. Motion estimation is also a key component in the digital restoration of archived video and for post-production and special effects in the movie industry. Sub-pixel accurate motion vectors can improve the quality of the vector field and lead to more efficient video coding. However sub-pixel accuracy requires interpolation of the image data. Image interpolation is a key requirement of many image processing algorithms. Often interpolation can be a bottleneck in these applications, especially in motion estimation due to the large number pixels involved. In this paper we propose using commodity computer graphics hardware for fast image interpolation. We use the full search block matching algorithm to illustrate the problems and limitations of using graphics hardware in this way.

Citation Download Citation

Francis Kelly and Anil Kokaram "Fast image interpolation for motion estimation using graphics hardware", Proc. SPIE 5297, Real-Time Imaging VIII, (18 May 2004); https://doi.org/10.1117/12.526400

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