@Article{JICS-4-211,
author = {PongsakLasang , Chang-su Kim and WuttipongKumwilaisak},
title = {Rate-Complexity Scalable Multi-view Image Coding with Adaptive Disparity-Compensated Wavelet Lifting},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {4},
number = {3},
pages = {211--223},
abstract = { This  paper  presents  a  novel  algorithm  for  rate-complexity  scalable  multi-view  image  coding 
using  an  adaptive  disparity-compensated  (DC)  wavelet  lifting  scheme.  First,  image  regions  of  multi-view 
images are prioritized by counting matching points. The proposed algorithm selects either Haar, 5/3, or our 
proposed multiple picture reference DC wavelet lifting adaptively. The selection criterion is based on the bit 
budget constraint, the complexity budget constraint, and the priorities of image regions. Then, the low-pass 
and high-pass subbands, obtained from the DC wavelet lifting, are further decomposed by a spatial wavelet 
transform.  The  resulting  wavelet  coefficients  are  entropy  encoded  with  the  SPIHT  codec.  Experimental 
results  show  that  the  proposed  algorithm  provides  an  efficient  adaptive  framework  for  multi-view  image 
coding.  
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22747.html}
}