Accurate and effective cervical smear image segmentation is required for automated cervical
cell analysis systems. Thus, we proposed a novel superpixel-based Markov random field …

Nowadays, the advantages of Digital Rock Physics (DRP) are well known and widely
applied in comprehensive core analysis. It is also known that the quality of the 3D pore scale …

Image quality assessment (IQA) plays a central role in many image processing algorithms
and systems. Although many popular IQA models achieves high performance on existing …

Blurring is one of the most common distortions in digital images. In the past decade,
extensive image deblurring algorithms have been proposed to restore a latent clean image …

The general purpose no reference image quality assessment (NR-IQA) is a challenging task,
which faces two hurdles:(1) it is difficult to develop one quality aware feature which works …

For the dermoscopy image, uneven illumination will influence segmentation accuracy and
lead to wrong aided diagnosis result. In this paper, a no reference uneven illumination …

One of the main challenges in unsupervised learning is to find suitable values for the model
parameters. In kernel principal component analysis (kPCA), for example, these are the …

We propose corrupted reference image quality assessment (CRIQA), a novel foundation for
reasoning about image quality and image denoising problems jointly. In order to assess the …

Goal: Dermoscopy images often suffer from blur and uneven illumination distortions that
occur during acquisition, which can adversely influence consequent automatic image …

We present an algorithm and its fully data-driven extension for noise reduction in ultrasound
imaging. The proposed method computes the hyperbolic wavelet transform of the image …