Two-stage filtering of compressed depth images with Markov Random Field

作者：

Highlights：

• Two stage filtering is proposed to process HEVC-compressed depth image.

• The binary segmentation-based filtering is proposed to achieve a pre-filtering.

• The pre-filtering could well retrieve object boundaries with low-complexity.

• Depth image is reconstructed by MRF with reliable pixels treated as measured values.

摘要

Highlights•Two stage filtering is proposed to process HEVC-compressed depth image.•The binary segmentation-based filtering is proposed to achieve a pre-filtering.•The pre-filtering could well retrieve object boundaries with low-complexity.•Depth image is reconstructed by MRF with reliable pixels treated as measured values.

论文关键词：MRF,Binary segmentation,Filtering,Compression,Depth image,Distortion

论文评审过程：Received 23 September 2016, Revised 22 February 2017, Accepted 23 February 2017, Available online 24 February 2017, Version of Record 6 March 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.02.009