Image blur and noise are difficult to avoid in many situations and can often ruin a photograph. We present a novel image deconvolution algorithm that deblurs and denoises an image given a known shift-invariant blur kernel. Our algorithm uses local color statistics derived from the…
ClearType filtering is a sub-pixel rendering method that improves the perceived image quality of text. The method renders text at subpixel resolution and then applies a one-dimensional filter to reduce color artifacts. We performed behavioral and computational experiments to analyze the effect of varying the…
In this paper, we propose algorithms to manipulate 2D images in a way that is consistent with the 3D geometry of the scene that they capture. We present these algorithms in the context of creating "Out of Bounds" (OOB) images - compelling, depth-rich images generated…
This paper details a new approach for learning a discriminative model of object classes, incorporating texture, layout, and context information efficiently. The learned model is used for automatic visual understanding and semantic segmentation of photographs. Our discriminative model exploits texture-layout filters, novel features based on…
This paper introduces a new, efficient, probabilistic algorithm for the automatic analysis of 3D medical images. Given an input CT volume our algorithm automatically detects and localizes the anatomical structures within, accurately and efficiently. Our technique builds upon randomized decision forests, which are enjoying much…
This paper addresses the problem of motion estimation and 3-D reconstruction through visual tracking with a single-viewpoint sensor and, in particular, how to generalize tracking to calibrated omnidirectional cameras. We analyze different minimization approaches for the intensity-based cost function (sum of squared differences). In particular,…
Shrinking transistor sizes and a trend toward low-power processors have caused increased leakage, high per-device variation and a larger number of hard and soft errors. Maintaining precise digital behavior on these devices grows more expensive with each technology generation. In some cases, replacing digital units…
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization in a conditional random field. A new, parallel filtering operator built upon efficient geodesic distance computation is used to…
This paper discusses cascaded multiple encoding/decoding cycles and their effect on image quality for lossy image coding designs. Cascaded multiple encoding/decoding is an important operating scenario in professional editing industries. In such scenarios, it is common for a single image to be edited by several…
We have been conducting a project to digitize the Bayon temple, located at the center of Angkor-Thom in the kingdom of Cambodia. This is a huge structure, more than 150 meters long on all sides and up to 45 meters high. Digitizing such a large-scale…
This paper presents a novel method for location recognition, which exploits an epitomic representation to achieve both high efficiency and good generalization. A generative model based on epitomic image analysis captures the appearance and geometric structure of an environment while allowing for variations due to…
Image blur is caused by a number of factors such as motion, defocus, capturing light over the non-zero area of the aperture and pixel, the presence of anti-aliasing filters on a camera sensor, and limited sensor resolution. We present an algorithm that estimates non-parametric, spatially-varying…
