An Adaptive Pyramid Single-View Depth Lookup Table Coding Method
Yangang Cai, Ronggang Wang, Song Gu, Jian Zhang, Wen Gao
Abstract
As depth maps show unique characteristics like piecewise smooth regions bounded by sharp edges at depth discontinuities, new coding tools are required to approximate these signal characteristics. Moreover, the number of bits to signal the residual values for each segment can be further reduced by integrating a Depth Lookup Table (DLT), which maps depth values to valid depth values of the original depth map. The DLT is constructed based on an initial analysis of the input depth map and is then coded in the sequence header. In this paper, an adaptive pyramid single-view depth lookup table coding method is proposed, with the purpose of designing a clean syntax structure in the sequence header with reasonably good performance. Experiments show that the proposed method can reduce about 84.97% coding bits on average.
BibTeX
@inproceedings{icassp2021_anadaptivepyrami,
title = {An Adaptive Pyramid Single-View Depth Lookup Table Coding Method},
author = {Yangang Cai and Ronggang Wang and Song Gu and Jian Zhang and Wen Gao},
booktitle = {ICASSP 2021},
year = {2021}
}