Relevant bibliographies by topics / Brightness perception

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Brightness perception'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Brightness perception"

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Lv, Fule, Dabo Guo, Shuai Yang, and Guang Yuan. "P‐3.6: Study on the distribution of perceived brightness level based on HK effect in three‐dimensional CIELAB color space of laser display." SID Symposium Digest of Technical Papers 55, S1 (April 2024): 734–37. http://dx.doi.org/10.1002/sdtp.17189.

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The current trend in display technology is towards achieving larger color gamut and higher brightness levels. However, it should be noted that visual perception of brightness intensity may differ from physical brightness intensity. The HelmholtzKohlrausch effect(H‐K effect) refers to the phenomenon where the perceived brightness of a color increases as its purity or saturation increases while keeping its luminance constant. In order to investigate the relationship between visual perception brightness and lightness, hue and color purity, an experiment was conducted using an RGB laser television as the display device. A total of 12 subjects participated in the visual perception brightness experiment. Based on the experimental results, the visual perceptual brightness for different color patterns was determined. Subsequently, a multilayer perceptron neural network was employed to depict the variation pattern of visual perception of brightness within the CIELAB color space. Finally, Fairchild's H‐K effect compensation formula was revised using nonlinear least squares method based on these experimental findings.
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Cornelissen, F. W., A. R. Wade, R. F. Dougherty, and B. A. Wandell. "fMRI of brightness perception." Journal of Vision 3, no. 9 (March 18, 2010): 57. http://dx.doi.org/10.1167/3.9.57.

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Gove, Alan, Stephen Grossberg, and Ennio Mingolla. "Brightness perception, illusory contours, and corticogeniculate feedback." Visual Neuroscience 12, no. 6 (November 1995): 1027–52. http://dx.doi.org/10.1017/s0952523800006702.

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AbstractA neural network model is developed to explain how visual thalamocortical interactions give rise to boundary percepts such as illusory contours and surface percepts such as filled-in brightnesses. Top-down feedback interactions are needed in addition to bottom-up feed-forward interactions to simulate these data. One feedback loop is modeled between lateral geniculate nucleus (LGN) and cortical area V1, and another within cortical areas V1 and V2. The first feedback loop realizes a matching process which enhances LGN cell activities that are consistent with those of active cortical cells, and suppresses LGN activities that are not. This corticogeniculate feedback, being endstopped and oriented, also enhances LGN ON cell activations at the ends of thin dark lines, thereby leading to enhanced cortical brightness percepts when the lines group into closed illusory contours. The second feedback loop generates boundary representations, including illusory contours, that coherently bind distributed cortical features together. Brightness percepts form within the surface representations through a diffusive filling-in process that is contained by resistive gating signals from the boundary representations. The model is used to simulate illusory contours and surface brightnesses induced by Ehrenstein disks, Kanizsa squares, Glass patterns, and cafe wall patterns in single contrast, reverse contrast, and mixed contrast configurations. These examples illustrate how boundary and surface mechanisms can generate percepts that are highly context-sensitive, including how illusory contours can be amodally recognized without being seen, how model simple cells in V1 respond preferentially to luminance discontinuities using inputs from both LGN ON and OFF cells, how model bipole cells in V2 with two colinear receptive fields can help to complete curved illusory contours, how short-range simple cell groupings and long-range bipole cell groupings can sometimes generate different outcomes, and how model double-opponent, filling-in and boundary segmentation mechanisms in V4 interact to generate surface brightness percepts in which filling-in of enhanced brightness and darkness can occur before the net brightness distribution is computed by double-opponent interactions.
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Guan, Shuchen, Matteo Toscani, and Karl Gegenfurtner. "Heterochromatic brightness perception of illuminants." Journal of Vision 22, no. 14 (December 5, 2022): 4022. http://dx.doi.org/10.1167/jov.22.14.4022.

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Paradiso, Michael A., and Ken Nakayama. "Brightness perception and filling-in." Vision Research 31, no. 7-8 (January 1991): 1221–36. http://dx.doi.org/10.1016/0042-6989(91)90047-9.

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He, Nailong, Yuning Zhang, Xinhang Ling, Chenhao Hu, Chenyu Huang, Lan He, and Baoping Wang. "P‐3.2: A Study on Perceptual Brightness Model Related to Pupil Size." SID Symposium Digest of Technical Papers 55, S1 (April 2024): 716–19. http://dx.doi.org/10.1002/sdtp.17185.

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The mismatch between physical brightness and perceived brightness of display devices in different light environments is increasingly serious. This paper analyzes the perception mechanism of display brightness according to the structure and perception characteristics of human visual system. Different display stimuli were further designed for visual perception experiments, and the influence of relevant objective quantities on the evaluation of perceived brightness was studied, so as to establish a display brightness perception model based on retinal imaging. Ultimately, the perceived brightness of the display can be characterized by the display of physical luminance and pupil diameter, and it has a high correlation with the perceived experimental values.
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Huang, Xin, Sean P. MacEvoy, and Michael A. Paradiso. "Perception of Brightness and Brightness Illusions in the Macaque Monkey." Journal of Neuroscience 22, no. 21 (November 1, 2002): 9618–25. http://dx.doi.org/10.1523/jneurosci.22-21-09618.2002.

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Rossi, Andrew F., and Michael A. Paradiso. "Temporal limits of brightness induction and mechanisms of brightness perception." Vision Research 36, no. 10 (May 1996): 1391–98. http://dx.doi.org/10.1016/0042-6989(95)00206-5.

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He, Nailong, Yuning Zhang, Chenyu Huang, Wei Wang, and Baoping Wang. "P‐3.1: Research on Display Brightness Perception and Visual Comfort Representation Model." SID Symposium Digest of Technical Papers 54, S1 (April 2023): 615–19. http://dx.doi.org/10.1002/sdtp.16367.

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People's perception of brightness and visual comfort in different light environments are important indicators of display products. The perception of the brightness of the human eye is often different from the actual brightness of the display. This is because there is a difference between the perceived brightness and the physical brightness. The luminous body of the same physical brightness may give people different feelings, thus producing different perceived brightness. In the complex optical environment, the existing photoelectric measurement parameters may not be able to accurately describe the perception effect of the display device. The research on perceived brightness and visual comfort has a long history, but in view of the increasingly complex light environment and the development of diversified display equipment, the perceptual brightness model needs to be further modified and improved. Based on the modeling research of perceived brightness, this paper studies the perception mechanism of human eyes, analyzes the shortcomings of the current mainstream or new display devices, and proposes a more comfortable display technology based on people's viewing habits, ambient light and display content.
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Russo, Frank A., Dominique T. Vuvan, and William Forde Thompson. "Vowel Content Influences Relative Pitch Perception in Vocal Melodies." Music Perception 37, no. 1 (September 1, 2019): 57–65. http://dx.doi.org/10.1525/mp.2019.37.1.57.

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Note-to-note changes in brightness are able to influence the perception of interval size. Changes that are congruent with pitch tend to expand interval size, whereas changes that are incongruent tend to contract. In the case of singing, brightness of notes can vary as a function of vowel content. In the present study, we investigated whether note-to-note changes in brightness arising from vowel content influence perception of relative pitch. In Experiment 1, three-note sequences were synthesized so that they varied with regard to the brightness of vowels from note to note. As expected, brightness influenced judgments of interval size. Changes in brightness that were congruent with changes in pitch led to an expansion of perceived interval size. A follow-up experiment confirmed that the results of Experiment 1 were not due to pitch distortions. In Experiment 2, the final note of three-note sequences was removed, and participants were asked to make speeded judgments of the pitch contour. An analysis of response times revealed that brightness of vowels influenced contour judgments. Changes in brightness that were congruent with changes in pitch led to faster response times than did incongruent changes. These findings show that the brightness of vowels yields an extra-pitch influence on the perception of relative pitch in song.
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Dissertations / Theses on the topic "Brightness perception"

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Robinson, Alan Edward. "Mechanisms of brightness perception." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3372643.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed Oct. 7, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 57-58).
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Dey, Ashim. "Melanopsin photoreceptor contributions to brightness perception and photophobia." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/205723/1/Ashim_Dey_Thesis.pdf.

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This thesis investigated the role of rod, cone and melanopsin photoreceptors in mediating human brightness perception across the natural operating range of the eye. In scotopic illumination, brightness perception is initiated by rod signals transmitted to higher brain centres via conventional retinogeniculate and melanopsin pathways. In mesopic illumination, melanopsin photoreception begins to scale brightness perception. In photopic illumination, melanopsin and cone luminance signals combine to mediate light hypersensitivity (photophobia) in healthy controls and migraineurs. These findings advance understanding of the relative photoreceptor contributions to human vision and guide the development of lighting technologies for individuals who experience disease-related photophobia.
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Angeli, Anastasia. "Public tendencies and perception of brightness and light in Odenplan." Thesis, KTH, Ljusdesign, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297649.

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This research paper is discussing light, and brightness in particular, in terms of perception, taking Odenplan as a case study.Some links between light characteristics and behaviour patterns, such as lingering, have been made, raising the discussion about the qualities of the artificial lighting that would add to convivial urban spaces at nighttime, attempting at differentiating between how people think they would behave and how they actually behave in a public square, and the impact of artificial lighting on public tendencies, suggesting if people feel comfortable and safe in the space, then they tend to perceive the space brighter. The research has shown that it is hard to draw conclusions when it comes to perceived qualities of light. Different research methods have been used with the intention of suggesting a methodology to be explored by others, including literature review, empirical study, informal interviews and word association survey.
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Gonzalez, Troncoso Xoana. "The role of corner angle in visual physiology and brightness perception." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1445525/.

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How do corners of different angles affect visual physiology and brightness processing in the brain? Some visual illusions show that corners can be more salient perceptually than edges, even when their physical luminance is equivalent. Combining several techniques (computational modeling, human psychophysics, and human fMRI) we have studied the relationship between comer angle, brightness perception, and visual physiology. Our psychophysical results show that corners appear quantifiably brighter for sharp than for shallow angles, and that the perceived brightness of the comer is linearly correlated to the corner's angle. Basic linear models of center-surround receptive fields predict the main result from the psychophysical experiments (that is, that sharp corners are brighter/more salient than shallow comers). Thus our data suggest that comers start to be processed from the very first stages of the visual system. Our human fMRI experiments furthermore show that BOLD signal response to corners increases parametrically with angle sharpness in all the retinotopic areas of the visual cortex, suggesting a general principle for comer processing throughout the visual hierarchy.
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Govan, Donovan G., and n/a. "Luminance and contrast as depth cues." University of Otago. Department of Psychology, 2007. http://adt.otago.ac.nz./public/adt-NZDU20080129.112322.

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It has long been held that luminance acts as a cue for depth perception. But varying the luminance of a stimulus inevitably alters its contrast with its background. Recent research shows that contrast is a depth cue. I have distinguished two kinds of contrast, external contrast, the contrast of a stimulus with its background, and internal contrast, the contrast within the stimulus. I compared the relative apparent depth of two stimuli (both directly and indirectly; stimuli were either sine-wave filled hemifields, sine-wave filled squares, or plain squares), as their luminances and internal contrasts were varied along with the luminance of their background. I found internal and external contrast to be additive effects, whereby the stimulus with either a higher internal or external contrast appeared nearer. When the internal and external contrasts of the stimuli were equated, luminance acted as an ambiguous cue, with the lighter square appearing nearer for the majority of observers, and farther for a minority. Luminance may act as a depth cues from our experience with artificial lighting (artificial light varies ambiguously with depth). Contrast may act as a depth cue from its usual association with the reduction of contrast of objects with distance through the atmosphere. I conclude that luminance and contrast are independent depth-cues that are caused by two different mechanisms.
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Keil, Matthias Sven [Verfasser]. "Neural architectures for unifying brightness perception and image processing / Matthias Sven Keil." Ulm : Universität Ulm. Fakultät für Informatik, 2003. http://d-nb.info/1015354807/34.

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Dahl, Howard Stewart. "Comparison of spatial contrast sensitivity between younger and older observers." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25373.

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Contrast sensitivity to vertically oriented grating patterns with a sinusoidal luminance profile were examined between groups of observers varying either in gender or age. For each observer at each of the seven spatial frequencies tested (.75, 1.5, 3, 6, 7.5, 10, 15 cyc/deg) threshold values were calculated for either ascending or descending trials as well as a combination of both. These threshold values were numerically transformed into sensitivity values and contributed to a group mean contrast sensitivity score for each spatial frequency. No significant effect of gender was found but younger observers (mean age=22.6 yrs.) exhibited significantly better contrast sensitivity than the older aged group (mean age=66.2 yrs.) for ascending trials at 3, 1.5 and .75 cyc/deg--the lowest spatial frequencies tested. Contrast sensitivity was also correlated with various measures. These findings were discussed in relation to the existing literature on age and spatial contrast sensitivity and since the machine used to examine the contrast sensitivity function (CSF) in this study utilized a laser interferometric method of stimulus generation, possible neurological changes with aging to explain this noted loss were also considered. Also discussed were various parameters that effect the CSF with a view toward explaining the disparate findings of various existing studies of age and the CSF.
Arts, Faculty of
Psychology, Department of
Graduate
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Hone, Geoffrey Noel. "Brightness and contrast as cues to depth in the simulator display : cue combination and conflict resolution." Thesis, University of Surrey, 1994. http://epubs.surrey.ac.uk/842731/.

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When computer generated images are used for real-time display in simulator applications, much of the fine detail available from the natural world, or even from video-film, is not available to an observer. This lack of detail leads to a reduction in the number of sources of depth information (cues to depth) that are available to specify the layout of the displayed scene. Amongst the cues normally available are luminance gradients and luminance contrast gradients, each deriving from luminance differences between components of the displayed scene; however, in computer generated images, these two cues do not always conform to the intended natural world image, and can offer conflicting information. While not referring explicitly to luminance gradients, Ames (1949) demonstrated that the brighter of two otherwise identical objects would appear nearer; his Demonstration 18 offering a negative luminance gradient similar to that arising in the natural world from atmospheric perspective. Similarly, Ross (1967, 1993) and O'Shea, Blackburn and Ono (1994) have shown a similar effect to Ames (1949), but with higher contrast replacing increased brightness, which they liken to the negative luminance contrast gradients that are also available in the natural world due to atmospheric perspective. The luminance gradient, and luminance contrast gradient cues are generally in accord when the scene background is light, but are in conflict where the background is dark. The experiments reported here show that either gradient can function as a cue to depth, and hence to the spatial layout of a depicted scene, and that conflicts between them are resolved in a way that takes into account the amount and type of other depth information available to an observer. Such a form of conflict resolution and cue combination is in accord with the separate items of depth information being processed either partly or wholly in parallel, so that the strength of each cue is determined by reference to the other available cues. When applied to simulators using computer generated images, these results suggest that both users, and scenario designers, require an awareness of the possible effect of a change to any item of depth information, and in particular to depth information that has its origin in luminance differences between objects in the depicted scene.
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Gnyawali, Subodh. "Melanopsin cell contributions to visual perception and decision making in humans." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/231544/1/Subodh_Gnyawali_Thesis.pdf.

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This thesis investigates the visual processes mediated via the fifth and most sparsely represented photoreceptor class in the human eye; melanopsin ganglion cells. It was determined that melanopsin-directed lighting increases the contrast sensitivity of the canonical cone pathway to enhance the perception of brightness. The melanopsin pathway also transmits visual information independently of rod and cone mediated vision. During decision making, its activation produces a signature biphasic pupil dilation. These outcomes inform the development of new energy-efficient lighting spectrums designed to modulate the effects of light on mood and cognition mediated via the melanopsin pathway.
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Ulander, Voltaire Gabriel, and Carl Liljedahl. "Effektiviteten av färg kontra storlek på cirklar för att kommunicera styrka i tangentryckningar i spelmiljöer." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209649.

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Denna studie har gått ut på att studera hur färg och storlek på cirklar påverkar hur hårt man trycker på tangenter i olika spelversioner. Vi har skapat tre versioner av ett spel där användaren skulle översätta cirklars utseende genom att trycka olika hårt på tangenter. Samtliga versioner av spelet baserades på fallande cyanfärgade cirklar ivertikalled. Den fallordning cirklarna föll enligt, hade alla versioner gemensamt. Skillnaden för versionerna var att cirklarna uttrycktes olika i färgton och storlek. Vi ansåg att en studie kring hur användare interagerade genom olika kombinationer av färgton och storlek kunde bidra till hur man väljer att bygga upp grafiska objekt i datorspel. Denna studie baserades på bland annat experiment inom perceptions-, färg- och ljusteori samt hur former fungerar som informationsbärare. Resultaten från undersökningen visade på att ha flera föränderliga grafiska komponenter gav oftast bäst träffsäkerhet i styrka utifrån spelet. Trots det så hade de andra versionerna vissa delresultat som var avsevärt bättre än versionen med fler föränderliga grafiska komponenter. Resultaten från undersökningen visade även på att deltagarna antog sig veta vilket grafiskt gränssnitt som passade dem bra och mindre bra, men hur de egentligen presterade motbevisade det. Utifrån detta drog vi slutsatsen att effektiviteten att kommunicera en fysisk storhet var olika beroende på person, men att det mest pålitliga alternativet tenderade att vara en kombination av de båda föränderliga komponenterna.
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Books on the topic "Brightness perception"

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L, Gilchrist Alan, ed. Lightness, brightness, and transparency. Hillsdale, N.J: L. Erlbaum, 1994.

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Hewitt, Sally. Light and dark. New York: Children's Press, 1998.

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Hewitt, Sally. Solas agus dorchadas. Srath Feabhail, Co. Dhoire: Clar Speisialta Tacamochta um Shmocháin agus Athmhuintearas, Ionad na Mzinteoirm, 2000.

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Hewitt, Sally. Light and dark. London: Franklin Watts, 2007.

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Gilchrist, Alan L. Lightness, Brightness and Transparency. Taylor & Francis Group, 2013.

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Gilchrist, Alan L. Lightness, Brightness and Transparency. Taylor & Francis Group, 2013.

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Gilchrist, Alan L. Lightness, Brightness and Transparency. Taylor & Francis Group, 2013.

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Gilchrist, Alan L. Lightness, Brightness and Transparency. Taylor & Francis Group, 2013.

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Gilchrist, Alan L. Lightness, Brightness and Transparency. Taylor & Francis Group, 2015.

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Gilchrist, Alan. Seeing Black and White (Oxford Psychology Series). Oxford University Press, USA, 2006.

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Book chapters on the topic "Brightness perception"

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du Buf, Hans. "Modeling Brightness Perception." In Vision Models and Applications to Image and Video Processing, 21–36. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3411-9_2.

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Zanker, Johannes M. "Vision 1: Brightness." In Sensation, perception and action, 30–43. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-1-137-09210-6_3.

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Clark, James J. "Physical Asymmetries and Brightness Perception." In Advances in Intelligent and Soft Computing, 71–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16259-6_6.

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Hayhoe, Mary, and Peter Wenderoth. "Adaptation Mechanisms in Color and Brightness." In From Pigments to Perception, 353–67. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3718-2_41.

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Tsujimura, Sei-ichi, and Yoshika Takahashi. "Melanopsin Contributions to Human Brightness Perception." In Encyclopedia of Color Science and Technology, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-642-27851-8_422-1.

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Parkin, Alan. "Perception of Brightness, Hue, and Saturation." In Digital Imaging Primer, 283–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-85619-1_17.

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Tsujimura, Sei-ichi, and Yoshika Takahashi. "Melanopsin Contributions to Human Brightness Perception." In Encyclopedia of Color Science and Technology, 1160–67. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-89862-5_422.

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Whittle, Paul. "Sensory and Perceptual Processes in Seeing Brightness and Lightness." In From Pigments to Perception, 293–304. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3718-2_35.

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Ehrenstein, Walter. "Modifications of the Brightness Phenomenon of L. Hermann." In The Perception of Illusory Contours, 35–39. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4760-9_3.

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Ditzinger, Thomas. "Third Journey: Perception of Forms and Brightness." In Illusions of Seeing, 41–65. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63635-7_3.

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Conference papers on the topic "Brightness perception"

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Nakano, Yasuhisa. "New model for brightness perception." In Advances in Color Vision. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/acv.1992.fd5.

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Brightness-luminance discrepancy is the well known issue in color vision. To overcome this discrepancy, several models of brightness perception are proposed1),2) based on color vision model. Common idea of these models is that the brightness-luminance discrepancy yield from contributions of red-green and yellow-blue color opponent channels to the brightness perception. Recently, however, Nakano, Ikeda and Kaiser (1988)3) proposed another type of model. They explained the brightness perception using L-M and M-L type opponent mechanisms in stead of luminance and color opponent channels. They also showed that individual difference of brightness matching was explained by adjusting opponency of these two types of opponent mechanisms. In this paper, I modified their model so that it could explain individual data of spectral luminous efficiency function obtained by heterochromatic brightness matching. The data of twelve subjects were used in this analysis. The new model explains brightness matching data of composite lights as well as spectral data.
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Kao, Jason S. "Brightness contrast in stereoscopic 3D perception." In the International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2500342.2500354.

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Skirnewskaja, Jana, Yunuen Montelongo, Jinze Sha, and Timothy D. Wilkinson. "Holographic LiDAR Projections with Brightness Control." In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/3d.2022.3f2a.6.

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Pixel by pixel brightness control was achieved in the 3D 4k holographic replay field results. High accuracy and brightness control is required for maps in military applications and real-time head-up displays.
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SMURZYNSKI, J., and T. LETOWSKI. "TIME ERROR IN PERCEPTION OF SOUND BRIGHTNESS." In Acoustics '81. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/23262.

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McCourt, Mark E. "Comparison of brightness and contrast induction." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.thy5.

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Lateral spatial interactions in the visual nervous system are commonly adduced to account for a variety of simultaneous contrast (induction) phenomena with regard to the perception of both brightness1 and spatial contrast.2 The relationship of these two systems of lateral interaction has not been clarified. Available evidence suggests that the lateral interactions governing perceived contrast embody a form of multiplicative contrast gain control.2 Evidence is presented that the lateral interactions governing brightness perception are similarly the result of multiplicative luminance-gain control, in addition to a subtractive (zero-offset) process. Utilizing the grating induction paradigm1 in association with a contrast-matching procedure, the inducing grating spatial frequency was varied across a range of eight octaves (0.0625-16.0 c/d), encompassing a clear transition in the form of lateral interactions from ones based on a luminance-gain control mechanism to those based on a contrast-gain control mechanism.
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Noland, Katy C., Manish Pindoria, and Andrew Cotton. "Modelling brightness perception for high dynamic range television." In 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 2017. http://dx.doi.org/10.1109/qomex.2017.7965633.

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Ding, Fan, Soheil Sepahyar, and Scott Kuhl. "Effects of Brightness on Distance Judgments in Head Mounted Displays." In SAP '20: ACM Symposium on Applied Perception 2020. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3385955.3407929.

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Grogan, Timothy A., and Mei Wu. "Image quality measurements with a neural brightness perception model." In Electronic Imaging '91, San Jose,CA, edited by Bernice E. Rogowitz, Michael H. Brill, and Jan P. Allebach. SPIE, 1991. http://dx.doi.org/10.1117/12.44341.

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9

Sepp, W. "A multi-resolution filling-in model for brightness perception." In 9th International Conference on Artificial Neural Networks: ICANN '99. IEE, 1999. http://dx.doi.org/10.1049/cp:19991152.

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Schuchhardt, Matthew, Susmit Jha, Raid Ayoub, Michael Kishinevsky, and Gokhan Memik. "Optimizing mobile display brightness by leveraging human visual perception." In 2015 International Conference on Compilers, Architecture and Synthesis for Embedded Systems (CASES). IEEE, 2015. http://dx.doi.org/10.1109/cases.2015.7324538.

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