Conference 5–9 August 2012
Exhibition 7–9 August 2012
Los Angeles Convention Center

Image Processing

Technical Papers

Image Processing

Monday, 6 August 2:00 PM - 3:30 PM | Los Angeles Convention Center, Room 515AB
Session Chair: Peter-Pike Sloan, NVIDIA Corporation

Decoupling Algorithms From Schedules for Easy Optimization of Image-Processing Pipelines

A new representation for image-processing algorithms, which separates intrinsic algorithm from execution order and storage, enables clean, modular code to compile to high-efficiency implementations across many architectures. The compiler produces high-performance implementations on ARM, x86, and GPUs, targeting SIMD units, multiple cores, and complex memory hierarchies.

Jonathan Ragan-Kelley
Massachusetts Institute of Technology

Andrew Adams
Massachusetts Institute of Technology

Sylvain Paris
Adobe Systems Incorporated

Marc Levoy
Stanford University

Saman Amarasinghe
Massachusetts Institute of Technology

Frédo Durand
Massachusetts Institute of Technology

Adaptive Manifolds for Real-Time High-Dimensional Filtering

A technique for performing high-dimensional filtering of images and videos in real time. This paper presents formal derivations for the equations that define the filter and shows that it produces high-quality results, is faster, and requires less memory than previous approaches.

Eduardo S. L. Gastal
Universidade Federal do Rio Grande do Sul

Manuel M. Oliveira
Universidade Federal do Rio Grande do Sul

High-Quality Image Deblurring With Panchromatic Pixels

A high-quality image deblurring system with new image priors based on an imaging system that has a newly designed sensor pattern achieved by adding panchromatic pixels that are sensitive to all wave-lengths of visible light and collect a significantly higher proportion of the light striking the image sensor.

Sen Wang
Eastman Kodak Company

Tingbo Hou
Stony Brook University

John Border
Eastman Kodak Company

Hong Qin
Stony Brook University

Rodney Miller
Eastman Kodak Company

Practical Temporal Consistency for Image-Based Graphics Applications

This approach approximates image-based minimization problems with a fast edge and motion-aware filtering method, which allows computation of temporally consistent results over video sequences. The paper shows that this simple approach can generate high-quality stable results for optical flow, disparity estimation, data upsampling, and colorization.

Manuel Lang
Disney Research Zürich and ETH Zürich

Oliver Wang
Disney Research

Tunc Aydin
Disney Research

Aljoscha Smolic
Disney Research

Markus Gross
Disney Research Zürich and ETH Zürich