公开(公告)号：US09600861B2

公开(公告)日：2017-03-21

申请号：US14835692

申请日：2015-08-25

Applicant: Macau University of Science and Technology

Inventor： Yong Liang ,  Zong Ben Xu ,  Liang-Yong Xia ,  Xiao-Ying Liu

IPC: G06T3/00 ,  G06T3/40

CPC classification number: G06T3/4053

Abstract: A super-resolution method for generating a high-resolution (HR) image from a low-resolution (LR) blurred image is provided. The method is based on a transform-invariant directional total variation (TI-DTV) approach with Schattenp=1/2 (S1/2-norm) and L1/2-norm penalties. The S1/2-norm and the L1/2-norm are used to induce a lower-rank component and a sparse component of the LR blurred image so as to determine an affine transform to be adopted in the TI-DTV approach. In particular, the affine transform is determined such that a weighted sum of the S1/2-norm and the L1/2-norm is substantially minimized. Based on the alternating direction method of multipliers (ADMM), an iterative algorithm is developed to determine the affine transform. The determined affine transform is used to transform a candidate HR image to a transformed image used in computing a directional total variation (DTV), which is involved in determining the HR image.

公开(公告)号：US20170024855A1

公开(公告)日：2017-01-26

申请号：US14835692

申请日：2015-08-25

Applicant: Macau University of Science and Technology

Inventor： Yong Liang ,  Zong Ben Xu ,  Liang-Yong Xia ,  Xiao-Ying Liu

IPC: G06T3/40 ,  G06T3/00

CPC classification number: G06T3/4053

Abstract: A super-resolution method for generating a high-resolution (HR) image from a low-resolution (LR) blurred image is provided. The method is based on a transform-invariant directional total variation (TI-DTV) approach with Schattenp=1/2 (S1/2-norm) and L1/2-norm penalties. The S1/2-norm and the L1/2-norm are used to induce a lower-rank component and a sparse component of the LR blurred image so as to determine an affine transform to be adopted in the TI-DTV approach. In particular, the affine transform is determined such that a weighted sum of the S1/2-norm and the L1/2-norm is substantially minimized. Based on the alternating direction method of multipliers (ADMM), an iterative algorithm is developed to determine the affine transform. The determined affine transform is used to transform a candidate HR image to a transformed image used in computing a directional total variation (DTV), which is involved in determining the HR image.

Abstract translation: 提供了用于从低分辨率（LR）模糊图像生成高分辨率（HR）图像的超分辨率方法。 该方法基于Schattenp = 1/2（S1 / 2-规范）和L1 / 2-范数惩罚的变换不变方向总变异（TI-DTV）方法。 S1 / 2范数和L1 / 2-范数用于引导LR模糊图像的较低等级分量和稀疏分量，以便确定在TI-DTV方法中采用的仿射变换。 特别地，确定仿射变换使得S1 / 2-范数和L1 / 2-范数的加权和基本上最小化。 基于乘法器（ADMM）的交替方向法，开发了一种迭代算法来确定仿射变换。 所确定的仿射变换用于将候选HR图像变换为用于计算方向总变化（DTV）中使用的变换图像，其涉及确定HR图像。