A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local parallel computation of stochastic completion fields
Neural Computation
Contour and Texture Analysis for Image Segmentation
International Journal of Computer Vision
Signal Processing - Image and Video Coding beyond Standards
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Segmentation Induced by Scale Invariance
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
The staircasing effect in neighborhood filters and its solution
IEEE Transactions on Image Processing
Solving the inverse problem of image zooming using "self-examples"
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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The Laplacian pyramid recursively splits an image into local averages and local differences using a fixed Gaussian interpolation function. We propose a spatially variant interpolation function that is adaptive to curvilinear edges in the image. Unlike the signal-based multiscale analysis where a step edge is multiply represented at all scales, our perception-based multiscale analysis preserves the edge at a single scale as much as possible. We demonstrate that our average pyramid retains boundaries and shading at lower spatial and tonal resolutions, whereas our difference pyramid refines edge locations and intensity details with a remarkably sparse code, delivering an image synopsis that is uncompromising between faithfulness and effectiveness.