Contrast thresholds of the human eye.
By H. Richard Blackwell. 1946
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Kil Joong Kim
- Fei Ye
- Jason Ramapuram
- Magda Gregorová
- Allan G. Rempel
- Alexandros Kalousis
- Wolfgang Heidrich
- Rafał K. Mantiuk
Citations in the corpus
- Lifelong Generative Modeling (2017, background): “Consider the human visual system; research has shown [23, 7] that the human eye is capable of capturing 576 megapixels of content per image frame.”
- Secchi disk depth: A new theory and mechanistic model for underwater visibility (2015, unknown): “In the experiments, because a majority of the ambient light came from the background screen (which occupies ~5° of the FOV of the human eye), the value of E s approximated the value of B 0 (where the difference between B T and B 0 isverysmallatthedetectionthreshold)(Blackwell,1946).”
- Visual search: a retrospective. (2011, background): “12 The concept of noise as limiting performance can be traced back to Blackwell (1946).”
- Seven Challenges in Image Quality Assessment: Past, Present, and Future Research (2013, background): “Detection thresholds tend to increase due to an increase in the luminance of the background (mask) upon which the target is placed (luminance masking, [70, 80]), a process which is believed to bemediated by retinal adaptation [81].”
- Minimum In-Service Retroreflectivity of Pavement Markings (2000, methodology): “CARVE accurately computes all geometric and photometric relationships for each headlamp separately; applies the human visual luminance contrast threshold database from Blackwell (Part III, 1946) adjusted by a field factor function that has been obtained from a number of pavement marking visibility f”
- High Dynamic Range Imaging (2015, unknown): “measurements [17], and newly measured CSF [69].”
- HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions (2011, methodology): “These are the detection thresholds for circular patterns of varying size on a uniform background field [Blackwell 1946].”
- High dynamic range imaging: spatially varying pixel exposures (2000, background): “The human eye has a remarkable dynamic range that enables it to detect subtle contrast variations and interpret scenes under a large variety of illumination conditions [Blackwell, 1946].”
- Protein aggregation: pathways, induction factors and analysis. (2009, background): “It is described in the literature that the human eye has the ability to resolve objects slightly smaller than 80 mm at a distance of 25 cm.(192) However, illumination intensity, inspection time, inspection aids (magnifying lenses), automated handling (vial spinning), light polarization, inspection b”