A relaxation approach to computation of second-order wedgelet transform with application to image compression
作者：
Highlights：
• We will use non-linear least squares to approximate image by relaxed second-order wedgelets.
• Rate-distortion analysis for tree-based coding of second-order platelets will be presented.
• Performance will be evaluated in compression of both natural images and disparity images.
• Our method is fast and provides better quality comparing to moments-based approach.
摘要
Highlights•We will use non-linear least squares to approximate image by relaxed second-order wedgelets.•Rate-distortion analysis for tree-based coding of second-order platelets will be presented.•Performance will be evaluated in compression of both natural images and disparity images.•Our method is fast and provides better quality comparing to moments-based approach.
论文关键词：Fast second-order wedgelet transform,Non-linear least squares,Quad-tree pruning,Rate-distortion analysis,Multiresolution image compression,Disparity images
论文评审过程：Received 29 May 2015, Revised 22 November 2015, Accepted 22 December 2015, Available online 31 December 2015, Version of Record 11 January 2016.
论文官网地址：https://doi.org/10.1016/j.image.2015.12.005
