Nonlocal texture similarity and local intensity smoothness are both essential for solving most
image inpainting problems. In this paper, we propose a novel image inpainting algorithm …

To help prevent motor vehicle accidents, there has been significant interest in finding an
automated method to recognize signs of driver distraction, such as talking to passengers …

Image inpainting is a process of reconstructing missing regions, or removing unwanted
objects automatically by propagating intensity and texture information from surrounding …

Denoising is a fundamental task in image processing, aimed at estimating an unknown
image from its noisy observation. In this paper, we develop a computationally simple …

In low-resolution wide-area aerial imagery, object detection algorithms are categorized as
feature extraction and machine learning approaches, where the former often requires a post …

Early detection of lung cancer is critical for improvement of patient survival. To address the
clinical need for efficacious treatments, genetically engineered mouse models (GEMM) have …

In this paper, we present a post-processing scheme to improve the performance of vehicle
detection in wide-area aerial imagery. Using low-resolution aerial frames for the …

Performance analysis of object detection combined with post-processing schemes are
challenging especially that the spatial resolution of images is low in wide-area aerial …

Background Small airways disease (SAD) is a major cause of airflow obstruction in COPD
patients and has been identified as a precursor to emphysema. Although the amount of SAD …

Background Assessment and selection of donor lungs remain largely subjective and
experience based. Criteria to accept or decline lungs are poorly standardized and are not …