top of page

News to help your R&D in artificial intelligence, machine learning, robotics, computer vision, smart hardware

As an Amazon Associate I earn

from qualifying purchases

Writer's picturemorrislee

Restore image by removing artifacts superimposed in an unknown manner

Restore image by removing artifacts superimposed in an unknown manner


Blind Image Decomposition


... 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 towards real-world vision systems.


... we construct three benchmark datasets, including mixed image decomposition across multiple domains, real-scenario deraining, and joint shadow/reflection/watermark removal.


... propose a simple yet general Blind Image Decomposition Network (BIDeN) to serve as a strong baseline for future work.


... demonstrate the tenability of our benchmarks and the effectiveness of BIDeN. ...



Please like and share this post if you enjoyed it using the buttons at the bottom!


Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact

Web site with my other posts by category https://morrislee1234.wixsite.com/website


11 views0 comments

Comments


ClickBank paid link

bottom of page