Computer Vision, Graphics, and Image Processing
Footprint evaluation for volume rendering
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
Techniques for speeding up high-quality perspective maximum intensity projection
VIP '94 The international conference on volume image processing on Volume image processing
Hierarchical volume analysis and visualization based on morphological operators
Proceedings of the conference on Visualization '98
Volume Data and Wavelet Transforms
IEEE Computer Graphics and Applications
Multiresolution signal decomposition schemes. Part 2: Morphological wavelets
Multiresolution signal decomposition schemes. Part 2: Morphological wavelets
Multiresolution signal decomposition schemes. Part 1: Linear and morphological pyramids
Multiresolution signal decomposition schemes. Part 1: Linear and morphological pyramids
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Frequency domain volume rendering by the wavelet X-ray transform
IEEE Transactions on Image Processing
Comparison of morphological pyramids for multiresolution MIP volume rendering
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Morphological Pyramids in Multiresolution MIP Rendering of Large Volume Data: Survey and New Results
Journal of Mathematical Imaging and Vision
Low-complexity maximum intensity projection
ACM Transactions on Graphics (TOG)
A new class of morphological pyramids for multiresolution image analysis
Proceedings of the 11th international conference on Theoretical foundations of computer vision
Multiresolution MIP rendering of large volumetric data accelerated on graphics hardware
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
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We propose a multiresolution representation for maximum intensity projection (MIP) volume rendering, based on morphological pyramids which allow progressive refinement and have the property of perfect reconstruction. The pyramidal analysis and synthesis operators are composed of morphological erosion and dilation, combined with dyadic downsampling for analysis and dyadic upsampling for synthesis. The structure of the multiresolution MIP representation is very similar to wavelet splatting, the main differences being that (i) linear summation of voxel values is replaced by maximum computation, and (ii) linear wavelet filters are replaced by (nonlinear) morphological filters.