Blind Image Decomposition

Understand

We propose and study a novel task named Blind Image Decomposition (BID), which requires separating a superimposed image into constituent underlying images in a blind setting, that is, both the source components involved in mixing as well as the mixing mechanism are unknown.

• For example, rain may consist of multiple components, such as rain streaks, raindrops, snow, and haze.
• Rainy images can be treated as an arbitrary combination of these components, some of them or all of them.
• How to decompose superimposed images, like rainy images, into distinct source components is a crucial step toward real-world vision systems.