Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning

作者：

Highlights：

• We develop a method for simultaneous medical image fusion, denoising and enhancement.

• We design a novel discriminative dictionary learning model for image decomposition.

• We develop a model to decompose a medical image into low-rank and sparse components.

摘要

•We develop a method for simultaneous medical image fusion, denoising and enhancement.•We design a novel discriminative dictionary learning model for image decomposition.•We develop a model to decompose a medical image into low-rank and sparse components.

论文关键词：Medical image fusion,Denoising,Dictionary learning,Low-rank decomposition,Sparse representation

论文评审过程：Received 25 April 2017, Revised 26 November 2017, Accepted 2 February 2018, Available online 14 February 2018, Version of Record 14 February 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.02.005