CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
王璐; 胡晰远; 彭思龙; WangLu; HuXiyuan; PengSilong,
Source Publication计算机辅助设计与图形学学报,
Volume24(6) (EI)Issue:2012年06期Pages:766-774
Other AbstractAiming at space-variantl burred images caused by non—uniform camera shake in the static scene,a partition—based global image—restoration algorithm w;th a blur—kernel seIector was proposed. The image was partitioned.11to severaI regular blocks, and different parameters were employed to identify the blur kernels of each block so that a set of blur—kernel estimations were obtained for each segmented block; through a designed strategy of residual error evaluation, the optimal kernel estimation toward each subre百on was screened out from the identified blur—kernel set;afterwards,the final and global restoration result was acquired by iteratively minimizing an objective function. Experiments show that in the case of images that contain subregions,which are of different shake—blur leveIs and whose contour divisions between each other are relativelv distinct,restoration effects of the algorithm are particularly good.
Keyword相机抖动分类法 / 空间变化 / 抖动模糊 / 分块法 / 图像复原 / 残差
Document Type期刊论文
Corresponding Author王璐
Recommended Citation
GB/T 7714
王璐,胡晰远,彭思龙,等. 基于分块的空间变化抖动模糊图像的全局模糊去除[J]. 计算机辅助设计与图形学学报,,2012,24(6) (EI)(2012年06期):766-774.
APA 王璐,胡晰远,彭思龙,WangLu,HuXiyuan,&PengSilong,.(2012).基于分块的空间变化抖动模糊图像的全局模糊去除.计算机辅助设计与图形学学报,,24(6) (EI)(2012年06期),766-774.
MLA 王璐,et al."基于分块的空间变化抖动模糊图像的全局模糊去除".计算机辅助设计与图形学学报, 24(6) (EI).2012年06期(2012):766-774.
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