Bayesian Learning of Sparse Multiscale Image Representations

Multiscale representations of images have become a standard tool in image analysis. Such representations offer a number of advantages over fixed-scale methods, including the potential for improved performance in denoising, compression, and the ability to represent distinct but complementary information that exists at various scales.

Want to know more?
CONTACT OUR TEAM
Ready to grow your career?
apply today

Hide Form -