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
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2004 Papers
ACM SIGGRAPH 2006 Papers
Efficient gradient-domain compositing using quadtrees
ACM SIGGRAPH 2007 papers
Streaming multigrid for gradient-domain operations on large images
ACM SIGGRAPH 2008 papers
Real-time gradient-domain painting
ACM SIGGRAPH 2008 papers
Image and Video Matting
Image Editing without Color Inconsistency Using Modified Poisson Equation
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
A GPU Laplacian solver for diffusion curves and Poisson image editing
ACM SIGGRAPH Asia 2009 papers
Shape preserving local histogram modification
IEEE Transactions on Image Processing
Simultaneous structure and texture image inpainting
IEEE Transactions on Image Processing
Stitching line and deformation propagation for seamless image stitching
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
| Hi-index | 0.10 |
Poisson editing, introduced in 2003, is becoming a technique with major applications in many different domains of image processing and computer graphics. This letter presents an exact and fast Fourier implementation of the Poisson editing equation proposed in (Perez et al., 2003). The proposed algorithm can handle well all Poisson editing methods that are currently implemented with finite differences and multigrid methods. But it also authorizes fast complex editing strategies where the edited region is obtained by an algorithm instead of a manual selection. The selected region can therefore have a complex topology without additional computational cost. In this letter the proposed method is applied to a classic local contrast enhancement principle introduced in (Caselles et al., 1999). The manual selection of the dark regions is replaced by a lower threshold and the method becomes fast, efficient, level-line preserving, and interactive. The proposed method can be tried on line on any uploaded image at http://www.ipol.im/pub/demo/lmps_selective_contrast_adjustment/.