Ten lectures on wavelets
Multiresolution sampling procedure for analysis and synthesis of texture images
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Real-time texture synthesis by patch-based sampling
ACM Transactions on Graphics (TOG)
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Object Removal By Cross Isophotes Exemplar-based Inpainting
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Space-Time Completion of Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image inpainting with improved exemplar-based approach
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Fast and Enhanced Algorithm for Exemplar Based Image Inpainting
PSIVT '10 Proceedings of the 2010 Fourth Pacific-Rim Symposium on Image and Video Technology
Stereoscopic image inpainting using scene geometry
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
A filter bank for the directional decomposition of images: theoryand design
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
IEEE Transactions on Image Processing
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A new algorithm for image inpainting based on the searching of redundancy for corner points across different scales and orientations is proposed. The searching utilises the nonsubsampled contourlet transform (NSCT) of the original image. The target region is filled-in following the priority which is given to the corner points that accumulate a high energy at different orientations and scales, and also having a high level of confidence. In each iteration, the source patch chosen is copied onto the target patch producing the minimum dispersion across different scales and orientations of the NSCT within it. This approach - to firstly fill-in corner points of high energy and confidence which minimize the dispersion in the target patch across different scales and orientations - have been tested on two groups of images, one group with broken edges and objects and a second group with large objects to be erased. The proposed algorithm was compared with three other methods and results obtained indicate that the capability of this algorithm is sustainable.