The production of a high spatial resolution (HR) hyperspectral image (HSI) through the
fusion of a low spatial resolution (LR) HSI with an HR multispectral image (MSI) has …

Recent years has witnessed growing interest in hyperspectral image (HSI) processing. In
practice, however, HSIs always suffer from huge data size and mass of redundant …

To overcome the limitations of existing hyperspectral cameras on spatial/temporal
resolution, fusing a low resolution hyperspectral image (HSI) with a high resolution RGB (or …

For real applications, existing HSI-SR methods are mostly not only limited to unstable
performance under unknown scenarios but also suffer from high computation consumption …

Removing undesired reflection from an image captured through a glass surface is a very
challenging problem with many practical applications. For improving reflection removal …

Recently, many hyperspectral (HS) image super-resolution methods that merge a low spatial
resolution HS image and a high spatial resolution three-channel RGB image have been …

Many construction scenes feature low-light work, such as nighttime construction and tunnel
construction. Poor lighting and low visibility will increase the risk of site accidents. One of the …

Eyeglass reflection removal is of great importance to the portrait image processing.
However, it remains a challenge to eliminate the reflections on the glass and restore the …

Flowers have great cultural value, economic value and ecological value in our life. Accurate
classification of flowers facilitates various applications of flowers. However, existing datasets …

For safety purposes, it is critical that bicyclists be conspicuous to drivers. We report two
experiments that investigated the benefits of bicycle taillights and fluorescent clothing for …