Spherical wavelets: efficiently representing functions on the sphere
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Domain decomposition: parallel multilevel methods for elliptic partial differential equations
Domain decomposition: parallel multilevel methods for elliptic partial differential equations
Creating full view panoramic image mosaics and environment maps
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
A multigrid tutorial: second edition
A multigrid tutorial: second edition
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A distributed memory unstructured gauss-seidel algorithm for multigrid smoothers
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
ACM SIGGRAPH 2003 Papers
Spherical parametrization and remeshing
ACM SIGGRAPH 2003 Papers
Rendering and managing spherical data with sphere quadtrees
VIS '90 Proceedings of the 1st conference on Visualization '90
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
Removing photography artifacts using gradient projection and flash-exposure sampling
ACM SIGGRAPH 2005 Papers
Removing photography artifacts using gradient projection and flash-exposure sampling
ACM SIGGRAPH 2005 Papers
Multigrid and Gauss-Seidel smoothers revisited: parallelization on chip multiprocessors
Proceedings of the 20th annual international conference on Supercomputing
Digital bas-relief from 3D scenes
ACM SIGGRAPH 2007 papers
Capturing and viewing gigapixel images
ACM SIGGRAPH 2007 papers
Efficient gradient-domain compositing using quadtrees
ACM SIGGRAPH 2007 papers
Streaming multigrid for gradient-domain operations on large images
ACM SIGGRAPH 2008 papers
Diffusion curves: a vector representation for smooth-shaded images
ACM SIGGRAPH 2008 papers
Real-time gradient-domain painting
ACM SIGGRAPH 2008 papers
Recalling the single-FFT direct Poisson solve
ACM SIGGRAPH 2008 posters
Parallel ODETLAP for terrain compression and reconstruction
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
The rhombic dodecahedron map: an efficient scheme for encoding panoramic video
IEEE Transactions on Multimedia
Metric-aware processing of spherical imagery
ACM SIGGRAPH Asia 2010 papers
Data-intensive science: The Terapixel and MODISAzure projects
International Journal of High Performance Computing Applications
Multigrid and multilevel preconditioners for computational photography
Proceedings of the 2011 SIGGRAPH Asia Conference
Panorama weaving: fast and flexible seam processing
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Parallel gradient domain processing of massive images
EG PGV'11 Proceedings of the 11th Eurographics conference on Parallel Graphics and Visualization
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Gradient-domain processing is widely used to edit and combine images. In this article we extend the framework in two directions. First, we adapt the gradient-domain approach to operate on a spherical domain, to enable operations such as seamless stitching, dynamic-range compression, and gradient-based sharpening over spherical imagery. An efficient streaming computation is obtained using a new spherical parameterization with bounded distortion and localized boundary constraints. Second, we design a distributed solver to efficiently process large planar or spherical images. The solver partitions images into bands, streams through these bands in parallel within a networked cluster, and schedules computation to hide the necessary synchronization latency. We demonstrate our contributions on several datasets including the Digitized Sky Survey, a terapixel spherical scan of the night sky.