In order to promote the activeness and initiative of learners and allow them to take theirlearning advantages,a teacher should be fully aware of the psychological process and models ofL2L．For no matter how well learn...In order to promote the activeness and initiative of learners and allow them to take theirlearning advantages,a teacher should be fully aware of the psychological process and models ofL2L．For no matter how well learners can command a language,their subjective incentives play adecisive role,that is the case particularly for non—Eniglish majors,who are always exposed tocrowded,serious and teacher—centred learning contexts.展开更多
The utilization of gradient operators is prevalent in image processing,as they effectively detect edges and provide directional information.However,these operators only differentiate the horizontal and vertical direct...The utilization of gradient operators is prevalent in image processing,as they effectively detect edges and provide directional information.However,these operators only differentiate the horizontal and vertical directions,ignoring details and causing loss of informa-tion in other directions.This paper introduces the shear gradient operator to overcome this limitation by capturing details accurately in mul-tiple directions.It investigates the properties of the shear gradient operator and proposes the shear total variation(STV)norm for image de-blurring.By combining non-convex regularization to avoid excessive penalty and retain image details,a novel deblurring model integrat-ing the STV norm and the L1/L2 minimization is proposed.The alternating direction method of multipliers(ADMM)algorithm is employed to solve this computationally challenging model,demonstrating exceptional performance in non-blind image deblurring through experi-ments.展开更多
文摘In order to promote the activeness and initiative of learners and allow them to take theirlearning advantages,a teacher should be fully aware of the psychological process and models ofL2L．For no matter how well learners can command a language,their subjective incentives play adecisive role,that is the case particularly for non—Eniglish majors,who are always exposed tocrowded,serious and teacher—centred learning contexts.
基金Supported by the National Natural Science Foundation of China(61701004)。
文摘The utilization of gradient operators is prevalent in image processing,as they effectively detect edges and provide directional information.However,these operators only differentiate the horizontal and vertical directions,ignoring details and causing loss of informa-tion in other directions.This paper introduces the shear gradient operator to overcome this limitation by capturing details accurately in mul-tiple directions.It investigates the properties of the shear gradient operator and proposes the shear total variation(STV)norm for image de-blurring.By combining non-convex regularization to avoid excessive penalty and retain image details,a novel deblurring model integrat-ing the STV norm and the L1/L2 minimization is proposed.The alternating direction method of multipliers(ADMM)algorithm is employed to solve this computationally challenging model,demonstrating exceptional performance in non-blind image deblurring through experi-ments.
