Search Results for author:
Found 6 papers, 1 papers with code
Polyblur: Removing mild blur by polynomial reblurring
The proposed method estimates and removes mild blur from a 12MP image on a modern mobile phone in a fraction of a second.
Image Stylization: From Predefined to Personalized
We present a framework for interactive design of new image stylizations using a wide range of predefined filter blocks.
Handheld Multi-Frame Super-Resolution
In this paper, we supplant the use of traditional demosaicing in single-frame and burst photography pipelines with a multiframe super-resolution algorithm that creates a complete RGB image directly from a burst of CFA raw images.
Graphic Narrative with Interactive Stylization Design
In parallel to this manual design, we propose a novel procedural approach that automatically assembles sequences of filters for innovative results.
Graphics
BLADE: Filter Learning for General Purpose Computational Photography
The Rapid and Accurate Image Super Resolution (RAISR) method of Romano, Isidoro, and Milanfar is a computationally efficient image upscaling method using a trained set of filters.
Context Augmentation for Convolutional Neural Networks
Recent enhancements of deep convolutional neural networks (ConvNets) empowered by enormous amounts of labeled data have closed the gap with human performance for many object recognition tasks.
