Blind image deblurring is a conundrum because there are infinitely many pairs of latent
image and blur kernel. To get a stable and reasonable deblurred image, proper prior …

There are many modern devices are used to create digital images. These devices use
optical effects to create images. Therefore, the image quality depends on quality of optical …

In image processing, the regularization term is always hard to choose. In this paper, we
introduce a model based on the fractional derivative, which is derived from the classical …

Isotropic three-dimensional (3D) acquisition is a challenging task in magnetic resonance
imaging (MRI). Particularly in cardiac MRI, due to hardware and time limitations, current 3D …

An approach based on hybrid genetic algorithm (HGA) is proposed for image denoising. In
this problem, a digital image corrupted by a noise level must be recovered without losing …

Cardiac cine MRI with 3D isotropic resolution is challenging as it requires efficient data
acquisition and motion management. It is proposed to use a 2D balanced SSFP (steady …

MRI is the gold standard modality for speech imaging. However, it remains relatively slow,
which complicates imaging of fast movements. Thus, an MRI of the vocal tract is often …

The dominant degrading factor of quality in ultrasound images is mainly due to the
occurrence of speckle noise that in turn leads to false ameliorative decisions, restricts auto …

The choice of a proper regularization measure plays an important role in the field of image
processing. One classical approach treats color images as two-dimensional surfaces …

Models related to the Euler's elastica energy have proven to be useful for many applications
including image processing. Extending elastica models to color images and multichannel …