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 …

Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …

A light-field camera captures both the intensity and the direction of incoming light,,,–. This
enables a user to refocus pictures and afterwards reconstruct information on the depth of …

Underwater captured images are usually degraded by low contrast, hazy, and blurry due to
absorbing and scattering, which limits their analyses and applications. To address these …

Convolutional neural networks (CNNs) excel in a wide variety of computer vision
applications, but their high performance also comes at a high computational cost. Despite …

We propose a novel end-to-end learning-based approach for single image defocus
deblurring. The proposed approach is equipped with a novel Iterative Filter Adaptive …

In typical cameras the optical system is designed first; once it is fixed, the parameters in the
image processing algorithm are tuned to get good image reproduction. In contrast to this …

Defocus blur arises in images that are captured with a shallow depth of field due to the use
of a wide aperture. Correcting defocus blur is challenging because the blur is spatially …

Predicting depth is an essential component in understanding the 3D geometry of a scene.
While for stereo images local correspondence suffices for estimation, finding depth relations …

Image restoration, including image denoising, super resolution, inpainting, and so on, is a
well-studied problem in computer vision and image processing, as well as a test bed for low …