Image Quality Assessment: Learning to Rank Image Distortion Level

no code implementations • 4 Aug 2022 • Shira Faigenbaum-Golovin, Or Shimshi

Over the years, various algorithms were developed, attempting to imitate the Human Visual System (HVS), and evaluate the perceptual image quality.

Image Quality Assessment Learning-To-Rank

Neural Network Approximation of Refinable Functions

no code implementations • 28 Jul 2021 • Ingrid Daubechies, Ronald DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober

Namely, we show that refinable functions are approximated by the outputs of deep ReLU networks with a fixed width and increasing depth with accuracy exponential in terms of their number of parameters.