Title
Complex-subband transform for subband-based motion estimation/compensation and coding.
Abstract
This paper introduces the complex subband transform (CST) that can be applied for both subband signal decomposition and motion estimation, which are the two major processes in subband-based image sequence coding. In the experiments, we compare the CST-based subband motion compensation with conventional block matching motion compensation, and find that the former has (i) higher peak signal-to-noise ratio (PSNR) of the reconstructed images and (ii) lower prediction error entropy of the motion vectors.
Year
DOI
Venue
1997
10.1109/83.568926
IEEE Transactions on Image Processing
Keywords
Field
DocType
motion vector,motion compensation,higher peak signal-to-noise ratio,subband-based motion estimation,conventional block,lower prediction error entropy,complex subband,motion estimation,major process,subband signal decomposition,cst-based subband motion compensation,vector quantization,prediction error,signal to noise ratio,redundancy,filter bank,image reconstruction,transform coding,peak signal to noise ratio,entropy,mathematical transformations,psnr
Computer vision,Quarter-pixel motion,Pattern recognition,Signal-to-noise ratio,Motion compensation,Image processing,Transform coding,Vector quantization,Artificial intelligence,Motion estimation,Mathematics,Signal compression
Journal
Volume
Issue
ISSN
6
5
1057-7149
Citations 
PageRank 
References 
3
0.51
7
Authors
3
Name
Order
Citations
PageRank
Cheng-Chang Lien112813.15
Chung-Lin Huang213913.24
J G Chen330.51