Image inpainting is an important part of image science,but in the past,researches were focused on gray value image inpainting.In this paper,we investigate the inpainting effects of some variational models of color ima...Image inpainting is an important part of image science,but in the past,researches were focused on gray value image inpainting.In this paper,we investigate the inpainting effects of some variational models of color image diffusion.Five variational models for color image inpainting are proposed and their Split Bregman algorithms are designed.Their regularizers are LTV(Layered Total Variation) regularizer,CTV(Color Total Variation) regularizer,MTV(Multichannel Total Variation) regularizer,PA(Polyakov Action) regularizer and RPA(Reduced Polyakov Action) regularizer respectively.In order to compare their performances,we use the same data term...Some numerical experiments show the differences of the above mentioned models for color image inpainting.展开更多
An image can be decomposed into the structural component and the geometric texturalcomponent.Based on this idea,an efficient two-layered compressing algorithm is proposed,which uses2nd generation bandelets and wavelet...An image can be decomposed into the structural component and the geometric texturalcomponent.Based on this idea,an efficient two-layered compressing algorithm is proposed,which uses2nd generation bandelets and wavelets.First,an original image is decomposed into the structuralcomponent and the textural component,and then these two components are compressed using waveletsand 2nd generation bandelets respectively.Numerical tests show that the proposed method worksbetter than the bandelets and JPEG2000 in some specific SAR scene.展开更多
文摘Image inpainting is an important part of image science,but in the past,researches were focused on gray value image inpainting.In this paper,we investigate the inpainting effects of some variational models of color image diffusion.Five variational models for color image inpainting are proposed and their Split Bregman algorithms are designed.Their regularizers are LTV(Layered Total Variation) regularizer,CTV(Color Total Variation) regularizer,MTV(Multichannel Total Variation) regularizer,PA(Polyakov Action) regularizer and RPA(Reduced Polyakov Action) regularizer respectively.In order to compare their performances,we use the same data term...Some numerical experiments show the differences of the above mentioned models for color image inpainting.
文摘An image can be decomposed into the structural component and the geometric texturalcomponent.Based on this idea,an efficient two-layered compressing algorithm is proposed,which uses2nd generation bandelets and wavelets.First,an original image is decomposed into the structuralcomponent and the textural component,and then these two components are compressed using waveletsand 2nd generation bandelets respectively.Numerical tests show that the proposed method worksbetter than the bandelets and JPEG2000 in some specific SAR scene.
