Blind image deblurring remains a topic of enduring interest. Learning based approaches,
especially those that employ neural networks have emerged to complement traditional …

The richness of natural images makes the quest for optimal representations in image
processing and computer vision challenging. The latter observation has not prevented the …

In this paper, a novel image forgery detection method is proposed based on the steerable
pyramid transform (SPT) and local binary pattern (LBP). First, given a color image, we …

Multiresolution deep learning approaches, such as the UNet architecture, have achieved
high performance in classifying and segmenting images. Most traditional convolutional …

We introduce a complete parameterization of the family of two-dimensional steerable
wavelets that are polar-separable in the Fourier domain under the constraint of self …

A major issue in harmonic analysis is to capture the phase dependence of frequency
representations, which carries important signal properties. It seems that convolutional neural …

This paper proposes a novel imaging biomarker of lung cancer relapse from 3-D texture
analysis of CT images. Three-dimensional morphological nodular tissue properties are …