Blind image super-resolution (SR), aiming to super-resolve low-resolution images with
unknown degradation, has attracted increasing attention due to its significance in promoting …

Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an
artificial vision system. The develo** time-of-flight (TOF) camera as a real-time vision …

The visual saliency detection model simulates the human visual system to perceive the
scene and has been widely used in many vision tasks. With the development of acquisition …

Rapid development of affordable and portable consumer depth cameras facilitates the use
of depth information in many computer vision tasks such as intelligent vehicles and 3D …

Despite significant research focus on 3D scene capture systems, numerous unresolved
challenges remain in relation to achieving full coverage scene depth estimation which is the …

Co-saliency detection aims at extracting the common salient regions from an image group
containing two or more relevant images. It is a newly emerging topic in computer vision …

As a newly emerging and significant topic in computer vision community, co-saliency
detection aims at discovering the common salient objects in multiple related images. The …

Recently, single image super-resolution (SISR), aiming to preserve the lost structural and
textural information from the input low resolution image, has witnessed huge demand from …

This paper proposes a depth super-resolution method with both transform and spatial
domain regularization. In the transform domain regularization, nonlocal correlations are …

Depth image super-resolution (DISR) is an effective solution to improve the quality of depth
images captured by real world low-cost cameras. In this paper, we propose a multi-scale …