The classical TV (Total Variation) model has been applied to gray texture image denoising and inpainting previously based on the non local operators, but such model can not be directly used to color texture image inpa...The classical TV (Total Variation) model has been applied to gray texture image denoising and inpainting previously based on the non local operators, but such model can not be directly used to color texture image inpainting due to coupling of different image layers in color images. In order to solve the inpainting problem for color texture images effectively, we propose a non local CTV (Color Total Variation) model. Technically, the proposed model is an extension of local TV model for gray images but we take account of the coupling of different layers in color images and make use of concepts of the non-local operators. As the coupling of different layers for color images in the proposed model will in-crease computational complexity, we also design a fast Split Bregman algorithm. Finally, some numerical experiments are conducted to validate the performance of the proposed model and its algorithm.展开更多
针对大破损彩色纹理图像的修复问题,将TV-L1模型推广到非局部CTV-L1模型。该模型不仅包含非局部算子,同时还引入了CTV(color total variation)规则项,前者可以修复大破损纹理图像,后者充分考虑了彩色图像层与层之间的耦合关系,在处理彩...针对大破损彩色纹理图像的修复问题,将TV-L1模型推广到非局部CTV-L1模型。该模型不仅包含非局部算子,同时还引入了CTV(color total variation)规则项,前者可以修复大破损纹理图像,后者充分考虑了彩色图像层与层之间的耦合关系,在处理彩色图像时可以有效地保持边缘。为提高模型的运算效率,通过引入辅助变量和Lagrange乘子为其设计了相应的增广Lagrangian算法。数值实验结果证实所提出的模型在处理彩色图像时可以有效地保持边缘,同时去除图像中异常的不规则点。该研究可以推广到彩色纹理图像椒盐噪声去除及彩色纹理图像分割中。展开更多
This letter delnonstrates the structure of the passive radar using TV signals. Because the TV signal is a kind of pseudoperiodic signal, the matched filtering of color TV signals would yield high sidelobes which cause...This letter delnonstrates the structure of the passive radar using TV signals. Because the TV signal is a kind of pseudoperiodic signal, the matched filtering of color TV signals would yield high sidelobes which cause the range ambiguity. To overcome this problem, the mismatched filter is proposed to suppress the correlation sidelobcs of matched filtering of TV signals. By utilizing the iteration process, this method could achieve the required peak sidclobc level. The impacts of the noise and target movement on mismatched filtering are also analysed, Simulation results are included to demonstrate the effectiveness of the proposed technique.展开更多
文摘The classical TV (Total Variation) model has been applied to gray texture image denoising and inpainting previously based on the non local operators, but such model can not be directly used to color texture image inpainting due to coupling of different image layers in color images. In order to solve the inpainting problem for color texture images effectively, we propose a non local CTV (Color Total Variation) model. Technically, the proposed model is an extension of local TV model for gray images but we take account of the coupling of different layers in color images and make use of concepts of the non-local operators. As the coupling of different layers for color images in the proposed model will in-crease computational complexity, we also design a fast Split Bregman algorithm. Finally, some numerical experiments are conducted to validate the performance of the proposed model and its algorithm.
文摘针对大破损彩色纹理图像的修复问题,将TV-L1模型推广到非局部CTV-L1模型。该模型不仅包含非局部算子,同时还引入了CTV(color total variation)规则项,前者可以修复大破损纹理图像,后者充分考虑了彩色图像层与层之间的耦合关系,在处理彩色图像时可以有效地保持边缘。为提高模型的运算效率,通过引入辅助变量和Lagrange乘子为其设计了相应的增广Lagrangian算法。数值实验结果证实所提出的模型在处理彩色图像时可以有效地保持边缘,同时去除图像中异常的不规则点。该研究可以推广到彩色纹理图像椒盐噪声去除及彩色纹理图像分割中。
文摘This letter delnonstrates the structure of the passive radar using TV signals. Because the TV signal is a kind of pseudoperiodic signal, the matched filtering of color TV signals would yield high sidelobes which cause the range ambiguity. To overcome this problem, the mismatched filter is proposed to suppress the correlation sidelobcs of matched filtering of TV signals. By utilizing the iteration process, this method could achieve the required peak sidclobc level. The impacts of the noise and target movement on mismatched filtering are also analysed, Simulation results are included to demonstrate the effectiveness of the proposed technique.
