The ability to distinguish contrast plays an important role in patients' everyday vision.
Contrast sensitivity testing can identify many ocular diseases. Testing the peak of contrast …

In general, owing to the benefits obtained from original information, full-reference image
quality assessment (FR-IQA) achieves relatively higher prediction accuracy than no …

Image recognition based on convolutional neural networks (CNNs) has recently been
shown to deliver the state-of-the-art performance in various areas of computer vision and …

Contrast Sensitivity and Glaucoma : Journal of Glaucoma Contrast Sensitivity and
Glaucoma : Journal of Glaucoma Log in or Register Subscribe to journalSubscribe Get new …

Visual metrics can play an important role in the evaluation of novel lighting, rendering, and
imaging algorithms. Unfortunately, current metrics only work well for narrow intensity ranges …

Contrast sensitivity defines the threshold between the visible and invisible, which has
obvious significance for basic and clinical vision science. Fechner's 1860 review reported …

High dynamic range (HDR) images and video contain pixels, which can represent much
greater range of colors and brightness levels than that offered by existing, standard dynamic …

Automated image quality assessment is highly desirable to evaluate the performance of
various image fusion algorithms for night vision applications. In this paper we propose a …

Seeking to understand how people recognize objects, we have examined how they identify
letters. We expected this 26-way classification of familiar forms to challenge the popular …

The contrast sensitivity function (CSF) predicts functional vision better than acuity, but long
testing times prevent its psychophysical assessment in clinical and practical applications …