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 …

Fluorescence microscopy allows for the high-throughput imaging of cellular activity across
brain areas in mammals. However, capturing rapid cellular dynamics across the curved …

In this paper, we propose a single image deblurring algorithm to remove spatially variant
defocus blur based on the estimated blur map. Firstly, we estimate the blur map from a …

Shape from defocus (SFD) is one of the most popular techniques in monocular 3D vision.
While most SFD approaches require two or more images of the same scene captured at a …

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 …

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 …

We present coded focal stack photography as a computational photography paradigm that
combines a focal sweep and a coded sensor readout with novel computational algorithms …

This paper presents a depth estimation method that leverages rich representations learned
from cascaded convolutional and fully connected neural networks operating on a patch …

The 3D reconstruction of freedom surface has been a major challenge for computer vision
as well as metrology. Complex surface structures such as large undulations and deep …

In this paper we address the challenging problem of recovering the depth of a scene from a
single image using defocus cue. To achieve this, we first present a novel approach to …