Low-light photography presents significant challenges. Multi-image processing methods
have made numerous attempts to obtain high-quality photos yet remain unsatisfactory …

The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …

Numerous learning-based approaches to single image deblurring for camera and object
motion blurs have recently been proposed. To generalize such approaches to real-world …

Motion blur from camera shake is a major problem in videos captured by hand-held devices.
Unlike single-image deblurring, video-based approaches can take advantage of the …

In this paper, we address the problem of estimating and removing non-uniform motion blur
from a single blurry image. We propose a deep learning approach to predicting the …

Defocus deblurring is a challenging task due to the spatially varying nature of defocus blur.
While deep learning approach shows great promise in solving image restoration problems …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

We discuss a few new motion deblurring problems that are significant to kernel estimation
and non-blind deconvolution. We found that strong edges do not always profit kernel …

There is an increasing need for passive 3D scanning in many applications that have
stringent energy constraints. In this paper, we present an approach for single frame, single …

In this paper we present a new method for estimating the optical transmission in hazy
scenes given a single input image. Based on this estimation, the scattered light is eliminated …