Image Editing in the Contour Domain
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2004 Papers
ACM SIGGRAPH 2006 Papers
ACM SIGGRAPH 2006 Papers
Structure-preserving manipulation of photographs
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering
Coordinates for instant image cloning
ACM SIGGRAPH 2009 papers
Sketch2Photo: internet image montage
ACM SIGGRAPH Asia 2009 papers
ACM SIGGRAPH Asia 2009 papers
Modeling and rendering of impossible figures
ACM Transactions on Graphics (TOG)
ACM SIGGRAPH 2010 papers
Multi-scale image harmonization
ACM SIGGRAPH 2010 papers
Content-aware copying and pasting in images
The Visual Computer: International Journal of Computer Graphics
Seamless video composition using optimized mean-value cloning
The Visual Computer: International Journal of Computer Graphics
Error-tolerant image compositing
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
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Computers and Graphics
Domain transform for edge-aware image and video processing
ACM SIGGRAPH 2011 papers
Environment-Sensitive cloning in images
The Visual Computer: International Journal of Computer Graphics - CGI'2011 Conference
Proceedings of the 2011 SIGGRAPH Asia Conference
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering
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We present an alternative approach to create digital camouflage images which follows human's perception intuition and complies with the physical creation procedure of artists. Our method is based on a two-scale decomposition scheme of the input images. We modify the large-scale layer of the background image by considering structural importance based on energy optimization and the detail layer by controlling its spatial variation. A gradient correction is presented to prevent halo artifacts. Users can control the difficulty level of perceiving the camouflage effect through a few parameters. Our camouflage images are natural and have less long coherent edges in the hidden region. Experimental results show that our algorithm yields visually pleasing camouflage images. © 2012 Wiley Periodicals, Inc.