Image interpolation using shearlet based iterative refinement

作者：

Highlights：

• We develop an image interpolation algorithm exploiting sparse representations for natural images.

• For sparse modeling, a shearlet dictionary is chosen to yield a multiscale directional representation.

• We start with an initial estimate of high resolution image and iteratively refine it towards an improved solution.

• Objective and subjective comparison to many well known methods is provided over a dataset of 200 images.

摘要

Highlights•We develop an image interpolation algorithm exploiting sparse representations for natural images.•For sparse modeling, a shearlet dictionary is chosen to yield a multiscale directional representation.•We start with an initial estimate of high resolution image and iteratively refine it towards an improved solution.•Objective and subjective comparison to many well known methods is provided over a dataset of 200 images.

论文关键词：Interpolation,Sparse representation,Shearlets

论文评审过程：Received 9 November 2014, Revised 8 June 2015, Accepted 8 June 2015, Available online 16 June 2015, Version of Record 3 July 2015.

论文官网地址：https://doi.org/10.1016/j.image.2015.06.004