With increasing attentions being drawn to the underwater observation and utilization of
marine resources in recent years, underwater image processing and analysis have become …

Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution
depth map from a low-resolution observation with the help of a paired high-resolution color …

Underwater images typically suffer from color deviations and low visibility due to the
wavelength-dependent light absorption and scattering. To deal with these degradation …

Coarse-to-fine strategies have been extensively used for the architecture design of single
image deblurring networks. Conventional methods typically stack sub-networks with multi …

Underwater images suffer from color casts and low contrast due to wavelength-and distance-
dependent attenuation and scattering. To solve these two degradation issues, we present an …

Focusing on the issue of how to effectively capture and utilize cross-modality information in
RGB-D salient object detection (SOD) task, we present a convolutional neural network …

In underwater scenes, wavelength-dependent light absorption and scattering degrade the
visibility of images and videos. The degraded underwater images and videos affect the …

Semantic segmentation of remote sensing images plays an important role in a wide range of
applications, including land resource management, biosphere monitoring, and urban …

Underwater image enhancement has been attracting much attention due to its significance
in marine engineering and aquatic robotics. Numerous underwater image enhancement …

Underwater image enhancement has attracted much attention due to the rise of marine
resource development in recent years. Benefit from the powerful representation capabilities …