… and blur kernel constraints for blind image deblurring. We adopt L0 regularization term for
constraining … Xiao, “Blind motion deblurring based on fused L0-L1 regularization,” International …

… [8] proposed a fused - regularization scheme for blind motion deblurring. These sparse prior
based approaches have achieved great success with producing sharper recovery results. …

… Wang 等人[8]提出了一种 L0−L1 范数 相结合的稀疏表示方法,通过对图像及其梯度分别采 用
L0 和 L1 范数来构造先验约束模型,交替复原出图像 模糊核和显著边缘,最后由非盲复原方法恢复出…

… Abstract: Blind image restoration aims to accurately estimate … constraint model to regularize
the blind restoration process to … Wang 等人[8]提出了一种L0−L1 范数 相结合的稀疏表示方法,…

… -based interpolation, with a modified block matching-based registration and remapping, and
Laplacianpyramid based fusion. … A simplified normbased block matching routine is used to …

… In this paper, a novel fusion technique for infrared and visible images based on IQTM is
proposed. The original pixels of the source images are transformed into the three qubit state …

… For output of ×8 input resolution, the values of blind image spatial quality evaluator and just
… SR dense-sampling residual attention network (SRDSRAN) proposed in [38] fused attention …

… scale information fusion to capture diverse motion and texture details, as shown in Fig. 2(d). …
We conducted a user study to evaluate perceptual quality through blind comparison. Twenty …