Imaging Enhancement

Friday, 18 December | 12:45 PM - 2:30 PM | Room 301/302

Session Chair

Diego Gutierrez

TOG article 144

Removing Image Artifacts Due to Dirty Camera Lenses and Thin Occluders

Physics-based methods to remove artifacts caused by dirty camera lenses (for example, dirt, dust, fingerprints) and thin occluders (for example, fences, window shutter) from photographs and videos.

Jinwei Gu
Columbia University

Ravi Ramamoorthi
University of California, Berkeley

Peter Belhumeur 
Shree Nayar
Columbia University

TOG article 145

Fast Motion Deblurring

A fast deblurring method that produces a deblurring result from a single image of moderate size within a few seconds.

Sunghyun Cho 
Seungyong Lee
Pohang University of Science and Technology

TOG article 146

Noise Brush: Interactive High-Quality Image-Noise Separation

A new joint image-noise filte, and a novel user interface to achieve high-quality image-noise separation or image denoising in an interactive fashion.

Jia Chen 
Chi-Keung Tang
The Hong Kong University of Science and Technology

Jue Wang 
Adobe Systems Incorporated

TOG article 147

Edge-Preserving Multiscale Image Decomposition Based on Local Extrema

An edge-preserving multiscale decomposition of images using a new model for detail that inherently captures oscillations, a key property that distinguishes textures from individual edges.

Kartic Subr 
Cyril Soler 
INRIA

Frédo Durand 
MIT Computer Science and Artificial Intelligence Laboratory