Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
ACM SIGGRAPH 2003 Papers
The trilateral filter for high contrast images and meshes
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Editing Soft Shadows in a Digital Photograph
IEEE Computer Graphics and Applications
ACM SIGGRAPH 2007 courses
A perception-based color space for illumination-invariant image processing
ACM SIGGRAPH 2008 papers
Automatic Structure-Aware Inpainting for Complex Image Content
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Natural and seamless image composition with color control
IEEE Transactions on Image Processing
GradientShop: A gradient-domain optimization framework for image and video filtering
ACM Transactions on Graphics (TOG)
Image in-painting by band matching, seamless cloning and area sub-division
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
ACM SIGGRAPH Asia 2010 papers
Error-tolerant image compositing
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Error-Tolerant Image Compositing
International Journal of Computer Vision
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We describe a new theoretical approach to Image Processing and Vision. Expressed in mathemetical terminology, in our formalism image space is a fibre bundle, and the image itself is the graph of a section on it. This mathematical model has advantages to the conventional view of the image as a function on the plane: Based on the new method we are able to do image processing of the image as viewed by the human visual system, which includes adaptation and perceptual correctness of the results. Our formalism is invariant to relighting and handles seamlessly illumination change. It also explains simultaneous contrast visual illusions, which are intrinsically related to the new covariant approach. Examples include Poisson image editing, Inpainting, gradient domain HDR compression, and others.