Abstract Neural Style Transfer has shown very exciting results enabling new forms of image
manipulation. Here we extend the existing method to introduce control over spatial location …

Purpose We propose a deep learning‐based approach to breast mass classification in
sonography and compare it with the assessment of four experienced radiologists employing …

While generative adversarial networks (GANs) can successfully produce high-quality
images, they can be challenging to control. Simplifying GAN-based image generation is …

Style transfer is a process of migrating a style from a given image to the content of another,
synthesizing a new image, which is an artistic mixture of the two. Recent work on this …

This note presents an extension to the neural artistic style transfer algorithm (Gatys et al.).
The original algorithm transforms an image to have the style of another given image. For …

We consider the problem of quality assessment (QA) of image stitching algorithms used to
generate panoramic images for virtual reality applications. Our contributions are two-fold …

In this paper, a robust infrared and visible image fusion scheme that joins a dual-branch
multi-receptive-field neural network and a color vision transfer algorithm is designed to …

Traditional approaches for color propagation in videos rely on some form of matching
between consecutive video frames. Using appearance descriptors, colors are then …

With the rapid development of virtual reality (VR), 360° omnidirectional images and videos
have drawn wide attention. However, the quality assessment of 360° omnidirectional images …

Three-Dimensional (3D) light-field display has achieved promising improvement in recent
years. However, since the dense-view images cannot be collected fast in real-world 3D …