Modern endoscopes offer physicians a wide-angle field of view (FOV) for minimally invasive therapies. However, the high level of barrel distortion may prevent accurate perception of image. Fortunately, this kind of distortion may be corrected by digital image processing. In this paper we investigate the chromatic aberrations in the barrel distortion of endoscopic images. In the past, chromatic ...

MOTIVATION Large-scale methods for inferring gene trees are error-prone. Correcting gene trees for weakly supported features often results in non-binary trees, i.e. trees with polytomies, thus raising the natural question of refining such polytomies into binary trees. A feature pointing toward potential errors in gene trees are duplications that are not supported by the presence of multiple gen...

This paper describes a new approach to restoring color document images where the backside image shows through the paper sheet. A new framework is presented for correcting show-through components using digital image processing techniques. First, the foreground components on the front side are separated from the background and backside components through locally adaptive binarization for each col...

3-D ultrasound is a new medical imaging technique which can quickly and non-invasively deliver clinically useful renderings of internal structures. The technique is vulnerable to tissue motion during the scan which can result in an inconsistent 3-D data set. This paper describes an algorithm which corrects for tissue motion and other errors that cause mis-registration during a scan. The resulti...

Deep neural networks (DNNs) have achieved excellent performance on several tasks and been widely applied in both academia industry. However, DNNs are vulnerable to adversarial machine learning attacks which noise is added the input change networks' output. Consequently, DNN-based mission-critical applications such as those used self-driving vehicles reduced reliability could cause severe accide...