DeepCorrect: Correcting DNN Models Against Image Distortions – IEEE Transactions Image Processing 2019

Human and DNN Classification Performance on Images With Quality Distortions: A Comparative Study. ACM Transactions on Applied Perception 2019

 

Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes. CVPR 2017

Computational Visual Attention Models – Foundations and Trends® in Signal Processing

Welcome to the Image, Video and Usability Lab (IVU Lab)
at Arizona State University.

The IVU Lab is directed by Prof. Lina Karam.

School of Electrical, Computer, and Energy Engineering
Arizona State University, Tempe, AZ 85287-5706.
Room GWC 439
Email: [email protected]

Projects

A No-Reference Texture Regularity Metric Based on Visual Saliency

A No-Reference Texture Regularity Metric Based on Visual Saliency