Title :
Robust sum of Linear-Log Squared Differences distortion measure and its applications
Author :
Young, Sean I. ; Mathew, Reji K. ; Taubman, David S.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
A robust distortion measure known as the Sum of Linear-Log Squared Differences (SLLSD) derived analytically from the R-D optimality conditions for compression is proposed with particular applications in motion estimation (ME) and coding. When used in the context of ME, this new measure is shown both to improve motion robustness (accuracy) and lower the Lagrangian cost (coding) unlike the typically employed Sum of Squared Differences (SSD) measure. Our measure is defined in the image domain and does not necessitate or assume the use of a particular transform. Its relationship to other M-estimators is briefly discussed and coding related performance results presented with the aid of a suitably modified H.264/AVC JM reference encoder.
Keywords :
image coding; motion estimation; H.264/AVC JM reference encoder; ME; SLLSD; SSD; image domain; linear log squared differences distortion measurement; motion coding; motion estimation; robust sum; sum of linear-log squared differences; Context; Distortion measurement; Encoding; Estimation; Motion estimation; Motion measurement; Robustness; coding; compression-regularization; distortion measure; motion estimation; robust estimation;
Conference_Titel :
Picture Coding Symposium (PCS), 2013
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4799-0292-7
DOI :
10.1109/PCS.2013.6737686
