Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Robust Real-Time Face Detection
International Journal of Computer Vision
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Face swapping: automatically replacing faces in photographs
ACM SIGGRAPH 2008 papers
Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
Edge-avoiding wavelets and their applications
ACM SIGGRAPH 2009 papers
SkyFinder: attribute-based sky image search
ACM SIGGRAPH 2009 papers
Personal photo enhancement using example images
ACM Transactions on Graphics (TOG)
Data-driven image color theme enhancement
ACM SIGGRAPH Asia 2010 papers
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Domain transform for edge-aware image and video processing
ACM SIGGRAPH 2011 papers
ACM Transactions on Graphics (TOG)
Collaborative personalization of image enhancement
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
Image enhancement via adaptive unsharp masking
IEEE Transactions on Image Processing
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Automatic photo enhancement is one of the long-standing goals in image processing and computational photography. While a variety of methods have been proposed for manipulating tone and colour, most automatic methods used in practice, operate on the entire image without attempting to take the content of the image into account. In this paper, we present a new framework for automatic photo enhancement that attempts to take local and global image semantics into account. Specifically, our content-aware scheme attempts to detect and enhance the appearance of human faces, blue skies with or without clouds and underexposed salient regions. A user study was conducted that demonstrates the effectiveness of the proposed approach compared to existing auto-enhancement tools. © 2012 Wiley Periodicals, Inc.