Complex signal analysis is a key topic in machinery fault diagnosis. For complex multi-
component signals of various morphological contents, the commonly used basis expansion …

Many sparse signal representation (SSR) algorithms have been developed in the past
decade. The advantages of SSR such as compact representations and super resolution lead …

While evidence indicates that neural systems may be employing sparse approximations to
represent sensed stimuli, the mechanisms underlying this ability are not understood. We …

Orthogonal and biorthogonal wavelets became very popular image processing tools but
exhibit major drawbacks, namely a poor resolution in orientation and the lack of translation …

Today, multiresolution (MR) transforms are a widespread tool for image fusion. They
decorrelate the image into several scaled and oriented sub-bands, which are usually …

Vehicle detection based on image analysis has attracted increasing attention in recent years
due to its low cost, flexibility, and potential toward collision avoidance. In particular, vehicle …

Facial recognition technology has been used in many fields such as security, biometric
identification, robotics, video surveillance, health, and commerce due to its ease of …

This paper proposes an efficient computer-aided Plant Image Retrieval method based on
plant leaf images using Shape, Color and Texture features intended mainly for medical …

Algorithms that encode images using a sparse set of basis functions have previously been
shown to explain aspects of the physiology of a primary visual cortex (V1), and have been …

In this paper, a novel full-reference image quality assessment (IQA) method for evaluating
the quality of the distorted light field (LF) image against its reference LF image is proposed …