A novel framework for compressed sensing based scalable video coding

作者：

Highlights：

•

• A novel low complexity Scalable Video Coding (SVC) framework is proposed.

• The proposed framework is suitable for VLSI implementations.

• Support the real-time processing for both encoding and decoding.

• Proposed a novel Adaptive Measurement Scheme in CS for better compression ratio.

• We propose a novel Enhanced AMP (EAMP) algorithm for CS reconstruction.

• The proposed EAMP algorithm shows the better reconstruction than IHT and AMP algorithms.

摘要

•A novel low complexity Scalable Video Coding (SVC) framework is proposed.•The proposed framework is suitable for VLSI implementations.•Support the real-time processing for both encoding and decoding.•Proposed a novel Adaptive Measurement Scheme in CS for better compression ratio.•We propose a novel Enhanced AMP (EAMP) algorithm for CS reconstruction.•The proposed EAMP algorithm shows the better reconstruction than IHT and AMP algorithms.

论文关键词：Scalable Video Coding (SVC),Compressed Sensing (CS),3-D wavelets,Approximate Message Passing (AMP)

论文评审过程：Received 25 October 2016, Revised 3 May 2017, Accepted 3 May 2017, Available online 15 May 2017, Version of Record 23 June 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.05.002