Abstract
In this paper,we propose a novel shear gradient operator by combining the shear and gradient operators.The shear gradient op-erator performs well to capture diverse directional information in the image gradient domain.Based on the shear gradient operator,we ex-tend the total variation(TV)norm to the shear total variation(STV)norm by adding two shear gradient terms.Subsequently,we introduce a shear total variation deblurring model.Experimental results are provided to validate the ability of the STV norm to capture the detailed in-formation.Leveraging the Block Circulant with Circulant Blocks(BCCB)structure of the shear gradient matrices,the alternating direction method of multipliers(ADMM)algorithm can be used to solve the proposed model efficiently.Numerous experiments are presented to verify the performance of our algorithm for non-blind image deblurring.
基金项目
Open Fund of Key Laboratory of Anhui Higher Education Institutes(CS2021-07)
National Natural Science Foundation of China(61701004)
Outstanding Young Talents Support Program of Anhui Province(gxyq2021178)
NETL
NSTL
万方数据