Generative adversarial networks (GANs) present a way to learn deep representations
without extensively annotated training data. These networks achieve learning through …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Remote Sensing Image Mosaicking: Achievements and Challenges Page 1 8 0274-6638/19©2019IEEE
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE DECEMBER 2019 Image …

Underwater images typically exhibit color distortion and low contrast as a result of the
exponential decay that light suffers as it travels. Moreover, colors associated to different …

It is common but challenging to address high-resolution image blending in the automatic
photo editing application. In this paper, we would like to focus on solving the problem of high …

Image mosaicing, the process of obtaining a wider field-of-view of a scene from a sequence
of partial views, has been an attractive research area because of its wide range of …

This paper addresses the problem of creating high-resolution and high-quality panoramic
images from long image sequences with very different colors and luminance in source …

Image stitching is still challenging in consumer-level photography due to imperfect image
captures. Recent works show that seam-cutting approaches can effectively relieve the …

Image mosaicing is an effective means of constructing a single seamless image by aligning
multiple partially overlapped images. Over the years, the research attention on mosaicing …

This paper introduces an Unmanned Aerial Vehicle (UAV) image stitching method, based on
the optimal seam algorithm and half-projective warp, that can effectively retain the original …