Low bit-rate compression of underwater imagery based on adaptive hybrid wavelets and directional filter banks
作者：
Highlights：
• Underwater video compression system optimized based on domain image and HVS characteristics.
• Improved performance over state-of-the-art DWT-based methods.
• Effective compression of both smooth and textured regions.
• New spatio-temporal just noticeable distortion (JND) model.
• Low bit-rate coding to meet underwater acoustic channel capacity.
摘要
Highlights•Underwater video compression system optimized based on domain image and HVS characteristics.•Improved performance over state-of-the-art DWT-based methods.•Effective compression of both smooth and textured regions.•New spatio-temporal just noticeable distortion (JND) model.•Low bit-rate coding to meet underwater acoustic channel capacity.
论文关键词：Underwater imagery,Video compression,Wavelet,Directional filter bank,Just-noticeable distortion,Low bit-rate coding
论文评审过程：Received 18 December 2015, Revised 26 April 2016, Accepted 1 June 2016, Available online 4 June 2016, Version of Record 13 June 2016.
论文官网地址：https://doi.org/10.1016/j.image.2016.06.001
