We propose a model that extracts a sketch from a colorized image in such a way that the
extracted sketch has a line style similar to a given reference sketch while preserving the …

In this work, we simulate the early visual information processing mechanisms in biological
visual system (BVS) to solve the visible-infrared image fusion (VIIF) task. Concretely, both …

Dunhuang murals are the treasures of world culture and art, world-famous and extremely
valuable for research. However, this treasure of human art has become extremely fragile …

In this paper, a neural network-based color edge detector is constructed by learning a
classifier using anisotropic directional derivative (ANDD) matrices of a color image as input …

There has been significant progress in contour detection with the development of
convolutional neural networks. To improve the detection performance of the object contour …

In this article, the researcher introduces a hybrid chain code for shape encoding, as well as
lossless and lossy bi-level image compression. The lossless and lossy mechanisms …

The ultimate goal of neuroscience is to explain how complex behaviour arises from neuronal
activity. A comparable level of complexity also emerges in deep neural networks (DNNs) …

As the basis of high-level visual tasks, edge detection is significant. Most of the encoder-
decoder edge detection methods used convolutional neural networks, such as VGG16 or …

Edge detection is of critical importance for middle-level and high-level tasks in computer
vision. Existing edge detection methods usually use VGG16 as the encoding network and …

Edge detection is of great importance to the middle and high-level vision task in computer
vision, and it is useful to improve its performance. This paper is different from previous edge …