Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
An Iterative Bayesian Approach for Digital Matting
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Soft scissors: an interactive tool for realtime high quality matting
ACM SIGGRAPH 2007 papers
AppProp: all-pairs appearance-space edit propagation
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH 2009 papers
User-assisted intrinsic images
ACM SIGGRAPH Asia 2009 papers
Real-time video matting using multichannel poisson equations
Proceedings of Graphics Interface 2010
Geodesic image and video editing
ACM Transactions on Graphics (TOG)
Diffusion maps for edge-aware image editing
ACM SIGGRAPH Asia 2010 papers
Error-tolerant image compositing
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Contour Detection and Hierarchical Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-based image color and tone style enhancement
ACM SIGGRAPH 2011 papers
Local Laplacian filters: edge-aware image processing with a Laplacian pyramid
ACM SIGGRAPH 2011 papers
Occlusion boundary detection and figure/ground assignment from optical flow
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Learning photographic global tonal adjustment with a database of input/output image pairs
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
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Selective editing, also known as masking, is a common technique to create localized effects, such as color (hue, saturation) and tonal management, on images. Many current techniques require parameter tuning or many strokes to achieve suitable results. We propose a fast novel algorithm that requires minimal strokes and parameter tuning from users, segments the desired selection, and produces an adaptive feathered matte. Our approach consists of two steps: first, the algorithm extracts color similarities using radial basis functions; second, the algorithm segments the region the user selects to respect locality. Because of the linear complexity and simplicity in required user-input, the approach is suitable for multiple applications including mobile devices.