Effect of chromatic mechanisms on the detection of mesopic incremental targets at different eccentricities

Spectral sensitivity functions for the threshold detection of mesopic incremental targets were compared for different target eccentricities (10, 20, and 30°) and for different mesopic backgrounds (0.1, 0.5 and 1.0 cd m−2). Relative responsivities of achromatic mechanisms (L + M and rods) and chromatic mechanisms (S and |L–M|) were estimated for each eccentricity and background. Chromatic mechanisms contribute significantly to detection but their effect is lower at 30°. A new contrast metric (CCHC2) is introduced to account for the selective adaptation of the photoreceptors and the effects of the chromatic mechanisms i.e. broadening of the range of spectral sensitivity with multiple local maxima and yellow sub‐additivity of detection performance. The CCHC2 metric is compared with the achromatic contrast metric of the MOVE model (CMOVE). For the same target, CCHC2 generally predicts a higher visibility level than CMOVE. However, in accordance with visual observations, for grey or yellowish incremental targets appearing at the eccentricities of 20 and 30°, the visibility predicted by CCHC2 is less than the visibility predicted by CMOVE.

[1]  John L Barbur,et al.  Effective contrast of colored stimuli in the mesopic range: a metric for perceived contrast based on achromatic luminance contrast. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[2]  A. Watson,et al.  A standard model for foveal detection of spatial contrast. , 2005, Journal of vision.

[3]  J. Kremers,et al.  Spectral sensitivities in dichromats and trichromats at mesopic retinal illuminances , 1999 .

[4]  John D. Bullough,et al.  Making the move to a unified system of photometry , 2007 .

[5]  S. A. Talbot Physiology of the retina and the visual pathway , 1961 .

[6]  A. Stockman,et al.  Into the twilight zone: the complexities of mesopic vision and luminous efficiency , 2006, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[7]  Peter Bodrogi,et al.  Mesopic spectral sensitivity functions based on visibility and recognition contrast thresholds , 2006, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[8]  Peter Zsolt Bodrogi,et al.  Mesopic visual efficiency IV: a model with relevance to nighttime driving and other applications , 2007 .

[9]  W. Verdon,et al.  Mechanisms underlying the detection of increments in parafoveal retina , 1996, Vision Research.

[10]  Alan L. Lewis,et al.  Visual Performance as a Function of Spectral Power Distribution of Light Sources at Luminances Used for General Outdoor Lighting , 1999 .

[11]  John D. Bullough,et al.  Brightness contrast perception in the mesopic region , 2006, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[12]  A. Stockman,et al.  Long-wavelength adaptation reveals slow, spectrally opponent inputs to the human luminance pathway. , 2005, Journal of vision.

[13]  Thomas K. Kuyk,et al.  Spectral sensitivity of the peripheral retina to large and small stimuli , 1982, Vision Research.

[14]  Peter Zsolt Bodrogi,et al.  Mesopic models—from brightness matching to visual performance in night-time driving: a review , 2005 .

[15]  W K Adrian,et al.  Influence of Field Size on the Spectral Sensitivity of the Eye in the Photopic and Mesopic Range , 1985, American journal of optometry and physiological optics.

[16]  J. Pokorny,et al.  Rod-cone interactions assessed in inferred magnocellular and parvocellular postreceptoral pathways. , 2001, Journal of vision.

[17]  Tran Quoc Khanh,et al.  Psycho-physical evaluation of a chromatic model of mesopic visual performance , 2008, CGIV/MCS.

[18]  Marjukka Eloholma,et al.  Performance based model for mesopic photometry , 2005 .

[19]  A. Stockman,et al.  A luminous efficiency function, V*(lambda), for daylight adaptation. , 2005, Journal of vision.

[20]  Jeremy M. Wolfe,et al.  In visual search, can the average features of a scene guide attention to a target? , 2005 .

[21]  John D. Bullough,et al.  Driver decision making in response to peripheral moving targets under mesopic light levels , 2007 .

[22]  D. A. Palmer,et al.  A System of Mesopic Photometry , 1966, Nature.

[23]  A. Stockman,et al.  The spectral sensitivities of the middle- and long-wavelength-sensitive cones derived from measurements in observers of known genotype , 2000, Vision Research.

[24]  J Schanda,et al.  Does lighting need more photopic luminous efficiency functions? , 2002 .

[25]  James E. Lebensohn,et al.  Physiology of the Retina and the Visual Pathway , 1960 .

[26]  J Schanda,et al.  Spectral discomfort glare sensitivity under low photopic conditions , 2006, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[27]  S L Guth,et al.  Model for color vision and light adaptation. , 1991, Journal of the Optical Society of America. A, Optics and image science.

[28]  Yasunari Yokota,et al.  Facilitation of perceptual filling-in for spatio-temporal frequency of dynamic textures , 2005 .

[29]  M. Eloholma,et al.  Visual performance in night‐time driving conditions , 2006, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[30]  J. Faubert,et al.  Chromatic parameters derived from increment spectral sensitivity functions. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[31]  Tran Quoc Khanh,et al.  A mesopic experiment series at automotive visual conditions , 2007 .

[32]  F. Viénot Transition from Photopic to Scotopic Light Assessments and Possible Underlying Processes , 1991 .

[33]  N. Graham Visual Pattern Analyzers , 1989 .

[34]  Peter Zsolt Bodrogi,et al.  Mesopic visual efficiency I: detection threshold measurements , 2007 .