Abstract. Image segmentation in microscopy, especially in interferencebased optical microscopy modalities, is notoriously challenging due to inherent optical artifacts. We propose ...
In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the ...
We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for e...
Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, ...
Abstract. This paper proposes a method to integrate multiple linearpushbroom panoramic images. The integration can be performed in real time. The technique is feasible on planar sc...
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...