Explainable human‐in‐the‐loop healthcare image information quality assessment and selection

Automatic Filter Selection Using Image Quality Assessment

We present a method for automatically selecting the best filter to treat poor quality printed documents using image quality assessment. We introduce five quality measures to obtain information about the quality of the images, and morphological filters to improve their quality. A training set of 370 images was used to develop the system. Experimental results on the test set show a significant im...

Structural and Information Theoretic Approaches to Image Quality Assessment

Digital images and video are prolific in the world today owing to the ease of acquiring, processing, storing and transmitting them. Several common image processing operations such as compression, dithering and printing affect the quality of the image. Advances in sensor and networking technologies, from the internet to wireless networks, has led to a surge of interest in image communication sys...

Image utility assessment and a relationship with image quality assessment

Present quality assessment (QA) algorithms aim to generate scores for natural images consistent with subjective scores for the quality assessment task. For the quality assessment task, human observers evaluate a natural image based on its perceptual resemblance to a reference. Natural images communicate useful information to humans, and this paper investigates the utility assessment task, where...

Image and Video Quality Assessment

Image Retargeting Quality Assessment

Content-aware image retargeting is a technique that can flexibly display images with different aspect ratios and simultaneously preserve salient regions in images. Recently many image retargeting techniques have been proposed. To compare image quality by different retargeting methods fast and reliably, an objective metric simulating the human vision system (HVS) is presented in this paper. Diff...