Sensing Increased Image Resolution Using Aperture Masks
Ankit Mohan, Xiang Huang, Ramesh Raskar and Jack Tumblin, CVPR08 Paper, More details...
Discussions on Nuit Blanche

   We investigated a technique to construct increased-resolution images
from multiple photos taken without moving the camera or the sensor. Like other super-resolution techniques, we capture and merge multiple images, but instead of moving the camera sensor by sub-pixel distances for each image, we change masks in the lens aperture and slightly defocus the lens. The resulting capture system is simpler and tolerates modest mask registration errors well.

Deep Shadows in a Shallow Box
Xiang Huang, Ankit Mohan and Jack Tumblin
SPIE Electronic Imaging Conf. 2008
Paper  Slides

    We present a fast, low-cost technique to gather high-contrast `relightable' photographs of desktop-sized objects. By removing the ambient light computationally, we generate high-contrast deep shallow images from originally captured low-contrast shallow shadow images.

Multiple Description Lattice Vector Quantization (MDLVQ)
Xiang Huang and Xiaolin Wu
DCC'06 Paper  Journal Draft   Thesis

   Multiple description coding is motivated by cooperate and distributed source coding for packet lossy networks. MDLVQ is an eective multiple description coding scheme. We proposed an optimal linear-time MDLVQ index assignment algorithm.