Abstract Analysis sparse representation (ASR) and synthesis sparse representation (SSR)
are two representative approaches for sparsity-based image modeling. An image is …

The amount of noise included in a hyperspectral image limits its application and has a
negative impact on hyperspectral image classification, unmixing, target detection, and so on …

This paper presents a novel structure-preserving image decomposition operator called
bilateral texture filter. As a simple modification of the original bilateral filter [Tomasi and …

In the classical bilateral filter, a fixed Gaussian range kernel is used along with a spatial
kernel for edge-preserving smoothing. We consider a generalization of this filter, the so …

The performance of fingerprint comparison algorithms depends on the reliability and
accuracy of the features extracted from the fingerprints. The accuracy of the feature …

Recent years have witnessed the emergence of new image smoothing techniques which
have provided new insights and raised new questions about the nature of this well-studied …

Image smoothing is a fundamental procedure in applications of both computer vision and
graphics. The required smoothing properties can be different or even contradictive among …

Latent fingerprint matching has played a critical role in identifying suspects and criminals.
However, compared to rolled and plain fingerprint matching, latent identification accuracy is …

Functional magnetic resonance imaging (fMRI) has revealed multiple subregions in monkey
inferior temporal cortex (IT) that are selective for images of faces over other objects. The …

Latent fingerprint enhancement is an essential preprocessing step for latent fingerprint
identification. Most latent fingerprint enhancement methods try to restore corrupted gray …