Multidetector imaging systems often suffer from the problem of stripe noise and random
noise, which greatly degrade the imaging quality. In this paper, we propose a variational …

Blind image deblurring is a very challenging inverse problem due to the severe ill-
posedness caused by the unknown kernel and the latent clear image. To tackle this …

A fraction-order total variation blind image restoration algorithm based on L1-norm was
proposed for restoring the images blurred by unknown point spread function (PSF) during …

We propose a maximum a posteriori blind Poissonian images deconvolution approach with
framelet regularization for the image and total variation (TV) regularization for the point …

Fourier transform infrared (FTIR) spectral imaging is a valuable tool for rapid identification of
the real/fake human face in a single spectral image. However, it often suffers from the …

Multi-detectors imaging system often suffers from the problem of the stripe noise, which
greatly degrades the quality of the resulting images. To better remove stripe noise and …

L 0 regularization is highly suitable for estimating the latent image in the blur kernel
estimation step of the two-step process of blind image deblurring. To tackle L 0 …

High-resolution three-dimensional (3D) images can be acquired by the planar Multiple-Input
Multiple-Output (MIMO) array radar making future work like detection and tracking easier …

Denoising images subjected to Gaussian and Poisson noise has attracted attention in many
areas of image processing. This paper introduces an image denoising framework using …

An infrared (IR) thermal camera may provide a tool for real-time temperature monitoring for
precise disease treatment using heat generated by light-induced photosensitisers, ie …