Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …

Whole slide imaging (WSI) has moved digital pathology closer to diagnostic practice in
recent years. Due to the inherent tissue topography variability, accurate autofocusing …

Due to the attenuation and scattering of light by water, there are many quality defects in raw
underwater images such as color casts, decreased visibility, reduced contrast, et al.. Many …

Numerous single image super-resolution (SISR) algorithms have been proposed during the
past years to reconstruct a high-resolution (HR) image from its low-resolution (LR) …

The deep convolutional neural network (CNN) has achieved great success in image
recognition. Many image quality assessment (IQA) methods directly use recognition-oriented …

Blind image quality assessment (BIQA) is a useful but challenging task. It is a promising idea
to design BIQA methods by mimicking the working mechanism of human visual system …

Image content variation is a typical and challenging problem in no-reference image-quality
assessment (NR-IQA). This work pays special attention to the impact of image content …

To solve the problem of large difference degree in multi-dimensional urban landscape
design, a multidimensional urban landscape design method based on nonlinear theory is …

This paper proposes to blindly evaluate the quality of images synthesized via a depth image-
based rendering (DIBR) procedure. As a significant branch of virtual reality (VR), superior …

Establishing an accurate objective evaluation metric of image sharpness is crucial for image
analysis, recognition and quality measurement. In this review, we highlight recent advances …