Techniques for speeding up high-quality perspective maximum intensity projection
VIP '94 The international conference on volume image processing on Volume image processing
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Comparison of morphological pyramids for multiresolution MIP volume rendering
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Volume Data and Wavelet Transforms
IEEE Computer Graphics and Applications
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
A new class of morphological pyramids for multiresolution image analysis
Proceedings of the 11th international conference on Theoretical foundations of computer vision
Frequency domain volume rendering by the wavelet X-ray transform
IEEE Transactions on Image Processing
Nonlinear multiresolution signal decomposition schemes. I. Morphological pyramids
IEEE Transactions on Image Processing
Nonlinear multiresolution signal decomposition schemes. II. Morphological wavelets
IEEE Transactions on Image Processing
Multiresolution maximum intensity volume rendering by morphological adjunction pyramids
IEEE Transactions on Image Processing
Multiresolution maximum intensity volume rendering by morphological pyramids
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
Mathematical morphology in computer graphics, scientific visualization and visual exploration
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
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 survey and extend nonlinear signal decompositions based on morphological pyramids, and their application to multiresolution maximum intensity projection (MIP) volume rendering with progressive refinement and perfect reconstruction. The structure of the resulting multiresolution rendering algorithm is very similar to wavelet splatting. Several existing classes of pyramids are discussed, and their limitations indicated. To enhance the approximation quality of visualizations from reduced data (higher levels of the pyramid), two approaches are explored. First, a new class of morphological pyramids, involving connectivity enhancing operators, is considered. In the pyramidal analysis phase, a conditional dilation operator is used, with a given number n of iterations. The corresponding pyramids for n = 0 and n = 1 are known as the adjunction pyramid and Sun-Maragos pyramid, respectively. We show that the approximation quality when rendering from higher levels of the pyramid does increase as a function of the number of iterations n of the conditional dilation operator, but the improvement for n 1 is limited. The second new approach, called streaming MIP-splatting, again starts from the adjunction pyramid. The new element is that detail coefficients of all levels are considered simultaneously and are resorted with respect to decreasing magnitude of a suitable error measure. All resorted coefficients are projected successively, until a desired accuracy of the resulting MIP image is obtained. We show that this method outperforms the previous methods based on morphological pyramids, both with respect to image quality with a fixed amount of detail data, and in terms of flexibility of controlling approximation error or computation time.