Results 21 to 30 of about 23,696 (202)

Inpainting of Cyclic Data using First and Second Order Differences [PDF]

open access: yes, 2014
Cyclic data arise in various image and signal processing applications such as interferometric synthetic aperture radar, electroencephalogram data analysis, and color image restoration in HSV or LCh spaces.
Bergmann, Ronny, Weinmann, Andreas
core   +1 more source

Stereoscopic Image Inpainting: Distinct Depth Maps and Images Inpainting [PDF]

open access: yes2010 20th International Conference on Pattern Recognition, 2010
In this paper we propose an algorithm for inpainting of stereo images. The issue is to reconstruct the holes in a pair of stereo image as if they were the projection of a 3D scene. Hence, the reconstruction of the missing information has to produce a consistent visual perception of depth.
Hervieu, Alexandre   +4 more
openaire   +1 more source

Image Inpainting Algorithm Based on Synthetic Sample Block by Gray Entropy [PDF]

open access: yesJisuanji gongcheng, 2016
The performance of image inpainting is dependent on the utilization of known information for inpainting the missing parts of the images,and fast speed of inpainting is required.Aiming at these two key issues,an inpainting algorithm is proposed which ...
ZHAO Zhengkang,LIU Ningzhong,LI Wei
doaj   +1 more source

Mask Optimization for Image Inpainting

open access: yesIEEE Access, 2018
This paper proposes a novel approach to image inpainting that optimizes the shape of masked regions given by users. In image inpainting, which removes and restores unwanted regions in images, users draw masks to specify the regions. However, it is widely
Mariko Isogawa   +4 more
doaj   +1 more source

Sparsity-Based Image Inpainting Detection via Canonical Correlation Analysis With Low-Rank Constraints

open access: yesIEEE Access, 2018
Image inpainting, a commonly used image editing technique for filling the mask or missing areas in images, is often adopted to destroy the integrity of images by forgers with ulterior motives.
Xiao Jin   +5 more
doaj   +1 more source

An Algorithm for Total Variation Inpainting Based on Nonlinear Multi-Grid Methods

open access: yesJournal of Algorithms & Computational Technology, 2008
Image inpainting refers to restoring a damaged image with missing information. The total variation (TV) inpainting model is one such method that simultaneously fills in the regions with available information from their surroundings and eliminates noises.
Chen Fei, Wang Mei-Qing, Lai Choi-Hong
doaj   +1 more source

Total Variation Inpainting using Split Bregman

open access: yesImage Processing On Line, 2012
Given an image where a specified region is unknown, image inpainting or image completion is the problem of inferring the image content in this region.
Pascal Getreuer
doaj   +1 more source

On surface completion and image inpainting by biharmonic functions: Numerical aspects [PDF]

open access: yes, 2018
Numerical experiments with smooth surface extension and image inpainting using harmonic and biharmonic functions are carried out. The boundary data used for constructing biharmonic functions are the values of the Laplacian and normal derivatives of the ...
Damelin, S. B., Hoang, N. S.
core   +3 more sources

Defocus Inpainting

open access: yes, 2006
In this paper, we propose a method to restore a single image affected by space-varying blur. The main novelty of our method is the use of recurring patterns as regularization during the restoration process. We postulate that restored patterns in the deblurred image should resemble other sharp details in the input image.
P. FAVARO, GRISAN, ENRICO
openaire   +2 more sources

Inpainting surface holes [PDF]

open access: yesProceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
An algorithm for filling-in surface holes is introduced in this paper. The basic idea is to represent the surface of interest in implicit form, and fill-in the holes with a system of geometric partial differential equations derived from image inpainting algorithms. The framework and examples with synthetic and real data are presented.
Verdera, J   +3 more
openaire   +2 more sources

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