By Topic

Enhanced Partial Distortion Sorting Fast Motion Estimation Algorithm for Low-Power Applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Yang Song ; Waseda University, Kitakyushu, 808-0135 Japan. ; Takeshi Ikenaga ; Satoshi Goto ; Zhenyu Liu

This paper presents an enhanced partial distortion sorting (EPDS) fast motion estimation (ME) algorithm which is based on the previous partial distortion sorting (PDS) algorithm. Different to PDS which has fixed parameters, in the EPDS algorithm, these parameters are adaptively adjusted to further reduce the computation complexity. Experiments show that the proposed EPDS algorithm has almost the same image quality as PDS but with 30.72% computation reduction. The PDS and EPDS are both realized in 1D systolic array, under the worst working conditions (1.62V, 125degC) and 166MHz clock frequency, compared with PDS algorithm, the proposed EPDS algorithm can reduce 15.75% power consumption with 0.75K gates hardware increase

Published in:

APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems

Date of Conference:

4-7 Dec. 2006