A recent image quality measure, M-SVD, can express the quality of distorted images either numerically or graphically. Based on the Singular Value Decomposition (SVD), it consistently measures the distortion across different distortion types and within a given distortion type at different distortion levels. The SVD decomposes every real matrix into a product of three matrices A = USV, where U an...

In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...

A recent development in the area of image quality consists of trying to incorporate aspects of visual attention in the metric design. This is generally achieved by combining distortion maps and saliency maps. Although a good number of saliency-inspired image quality metrics have been proposed, results are not yet conclusive. Some researchers have reported that the incorporation of visual attent...

background: parkinson's disease (pd) is a neurodegenerative disorder impairing motor, verbal and other abilities. visual evoked potential (vep) assessment is a useful method for analysis of visual system and its function. the present study was designed in order to evaluate whether vep changes are associated with pd. m aterials and methods: in the present study, 100 subjects encompassing 40 pati...

post cardiac surgery ophthalmic complications are uncommon, and sudden visual loss is one of the most important ophthalmic problems in these patients. we report a 54-year-old woman that suffered transient sudden bilateral visual loss seven days after orthotopic heart transplantation. in ophthalmologic examination positive findings were bilateral normal size pupils without direct and indirect pu...

Visual quality measures seek to algorithmically imitate human judgments of patterns such as class separability, correlation, or outliers. In this paper, we propose a novel data-driven framework for evaluating such measures. The basic idea is to take a large set of visually encoded data, such as scatterplots, with reliable human “ground truth” judgements, and to use this human-labeled data to le...

Most visual quality inspections in discrete manufacturing are composed of length, surface, angle or intensity measurements. Those are implemented as end-user configurable inspection tools that should not require an image processing expert to set up. Currently available software solutions providing such capability use a flowchart based programming environment, but do not fully address an inspect...

Objective metrics for visual quality assessment often base their reliability on the explicit modeling of the highly non-linear behavior of human perception; as a result, they may be complex and computationally expensive. Conversely, machine learning (ML) paradigms allow to tackle the quality assessment task from a different perspective, as the eventual goal is to mimic quality perception instea...