Stereoscopic imaging technology has aroused a great concern recently due to the increasingly wide range of stereoscopic applications. Stereoscopic image quality assessment is of vital importance to evaluate the performance of three-dimensional video (3DV) systems. However, stereoscopic image quality assessment methods are very scarce presently. In the paper, according to human visual sensitivit...

The quality of an image produced by the Whole Slide Imaging (WSI) scanners is of critical importance for using the image in clinical diagnosis. Therefore, it is very important to monitor and ensure the quality of images. Since subjective image quality assessments by pathologists are very time-consuming, expensive and difficult to reproduce, we propose a method for objective assessment based on ...

Assessing the quality of a reconstructed hyperspectral image (HSI) is of significance for restoration and super-resolution. Current image quality assessment methods such as peak signal-noise-ratio require the availability of pristine reference image, which is often not available in reality. In this paper, we propose a no-reference hyperspectral image quality assessment method based on quality-s...

Research and development of image quality assessment (IQA) algorithms have been in the focus computer vision processing community for decades. The intent IQA methods is to estimate perceptual digital images correlating as high possible with human judgements. Full-reference algorithms, which full access distortion-free images, usually contain two phases: local estimation pooling. Previous works ...