Method for Adapting the Grayscale Standard Display Function to the Aging Eye

Abstract

Perceptual linearity of grayscale images based on a contrast sensitivity model is a widely recognized and used standard for medical imaging visualization. This approach ensures consistency across devices and provides perception of luminance variations in direct relationship to changes in image values. We analyze the effect of aging of the human eye on the precept of linearity and demonstrate that not only the number of just-noticeable differences diminishes for older subjects but also linearity across the range of luminance values is significantly affected. While loss of JNDs is inevitable for a fixed luminance range, our findings suggest possible corrective approaches for maintaining linearity.

Digital Microscopy, Image Analysis, and Virtual Slide Repository

“…However, discrepancies in color perception and viewing of grey scales by humans evaluating whole-slide images on computer monitors may have a similar, if not greater, impact. [29][30][31] While color calibration describes the process of matching color displays between different units (e.g., monitors), end-to-end color calibration ensures that the color stays consistent throughout the entire workflow. In the context of digital pathology, this means from tissue staining to scanning and displaying the color on a monitor.…”

Comparison of spherical and aspherical intraocular lenses with decentration and tilt error using a physical model of human contrast vision and an image quality metric

“…The experimental model has been used to evaluate IOLs, for example in [14,15]. The validity of the theoretical model has been investigated in vertebrates by Jarvis et al [16,17], and it is also used in DICOM (Digital Imaging and Communications in Medicine), Part 14 for image quality assessment [18,19].…”