In this paper, we address the challenging problem of recovering the defocus map from a
single image. We present a simple yet effective approach to estimate the amount of spatially …

We describe a technique to recover depth from a light field (LF) using two proposed features
of the LF focal stack. One feature is the property that non-occluding pixels exhibit symmetry …

The detection of spatially-varying blur without having any information about the blur type is a
challenging task. In this paper, we propose a novel effective approach to address this blur …

A computational camera uses a combination of optics and processing to produce images
that cannot be captured with traditional cameras. In the last decade, computational imaging …

This paper addresses the problem of defocus map estimation from a single image. We
present a fast yet effective approach to estimate the spatially varying amounts of defocus …

In this paper, we tackle depth estimation and blur removal from a single out-of-focus image.
Previously, depth is estimated, and blurred is removed using multiple images; for example …

A number of computational imaging techniques are introduced to improve image quality by
increasing light throughput. These techniques use optical coding to measure a stronger …

A method includes receiving video data and identifying a second object in at least one video
frame of the video data. The method also includes determining whether to replace the …

Blur detection and segmentation for a single image without any prior information is a
challenging task. Numerous techniques for blur detection and segmentation have been …

Random micro-structured surfaces (RSS) have great application potentials as various
functional surface elements, such as optical diffusers, with homogeneous surface properties …