3 accepted papers
Multi-scale approach representing image objects at various levels-of-details has been applied to various computer vision tasks. Existing image classification approaches place more emphasis on multi-scale convolution kernels, and overlook multi-scale feature maps. As such, some shallower information…
Outdoor images captured in poor weather conditions (e.g., fog or haze) commonly suffer from reduced contrast and visibility. Increasing attention has recently been paid to single image dehazing, i.e., improving image contrast and visibility. It is generally thought that the dehazing performance high…
Single-image blind deblurring is a challenging ill-posed inverse problem which aims to estimate both blur kernel and latent sharp image from only one observation. This paper focuses on first estimating the blur kernel alone and then restoring the latent image since it has been proven to be more feas…