Single Image Deraining With Continuous Rain Density Estimation

Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network

Given a single input rainy image, our goal is to visually remove rain streaks and the veiling effect caused by scattering and transmission of rain streaks and rain droplets. We are particularly concerned with heavy rain, where rain streaks of various sizes and directions can overlap each other and the veiling effect reduces contrast severely. To achieve our goal, we introduce a scale-aware mult...

Continuous Iterated Density Estimation

Bayesian density estimation from grouped continuous data

Grouped data occur frequently in practice, either because of limited resolution of instruments, or because data have been summarized in relatively wide bins. A combination of the composite link model with roughness penalties is proposed to estimate smooth densities from such data in a Bayesian framework. A simulation study is used to evaluate the performances of the strategy in the estimation o...

Fringe-density estimation by continuous wavelet transform.

For many phase extraction algorithms, a priori knowledge of a fringe-pattern density distribution is beneficial for later processing. A fringe-density estimation method based on a continuous wavelet transform (CWT) is proposed. For a one-dimensional signal the instantaneous frequency detected at the CWT ridge is directly adopted as a measure of the local fringe density. For a two-dimensional si...

Rain structure transfer using an exemplar rain image for synthetic rain image generation

This letter proposes a simple method of transferring rain structures of a given exemplar image (rain image) into a target image (non‐rain image). Given the exemplar rain image and its corresponding masked rain image, rain patches including real‐life rain structures are extracted randomly, and then residual rain patches are obtained by subtracting those rain patches from their mean patches. Next...