Underwater optical images are usually influenced by low lighting, high turbidity scattering
and wavelength absorption. To solve these issues, a great deal of work has been performed …

Image segmentation refers to the process to divide an image into meaningful non-
overlap** regions according to human perception, which has become a classic topic since …

Guided depth super-resolution (GDSR) is an essential topic in multi-modal image
processing, which reconstructs high-resolution (HR) depth maps from low-resolution ones …

Depth boundaries often lose sharpness when upsampling from low-resolution (LR) depth
maps especially at large upscaling factors. We present a new method to address the …

Guided depth map super-resolution (GDSR), as a hot topic in multi-modal image processing,
aims to upsample low-resolution (LR) depth maps with additional information involved in …

This paper presents an efficient technique for performing a spatially inhomogeneous edge-
preserving image smoothing, called fast global smoother. Focusing on sparse Laplacian …

Wireless sensor networks are composed of large numbers of tiny networked devices that
communicate untethered. For large scale networks, it is important to be able to download …

This paper proposes an adaptive color-guided autoregressive (AR) model for high quality
depth recovery from low quality measurements captured by depth cameras. We observe and …

We present an accurate stereo matching method using local expansion moves based on
graph cuts. This new move-making scheme is used to efficiently infer per-pixel 3D plane …

Edge-preserving image smoothing is a fundamental procedure for many computer vision
and graphic applications. There is a tradeoff between the smoothing quality and the …