Near-infrared spectroscopy of image clarity perception in the human brain

The perception of blur in humans is intrinsic to our visual system, and dioptric power can improve clarity in many cases. This was evaluated experimentally to establish the best correction with dioptric power shifts. We used Near Infrared Spectroscopy (NIRS) to measure Oxy-, Deoxy- and Total-hemoglobin concentration changes in the brain while viewing images and reading a Snellen chart. Participants were tested with their usual correction (no diopter power shift (0 D)), with a 0.25 diopter power shift (0.25 D), and with a 0.5 diopter power shift (0.5 D). The concept of Approximate Entropy (AE) was applied to quantify the regularity of these hemoglobin time series of finite length. AE computations are based on the likelihood that similar templates in a time series remain similar on the next incremental comparison, so that time series with large AE have high irregular fluctuation. We found that the dioptric power shift eliciting the highest AE indicates the clearest visual condition for subjects. This technique may impact the current way in which ophthalmic lenses are prescribed.

[1]  James F. O'Brien,et al.  Using blur to affect perceived distance and size , 2010, TOGS.

[2]  G. Mather,et al.  Blur Discrimination and its Relation to Blur-Mediated Depth Perception , 2002, Perception.

[3]  S M Pincus,et al.  Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[4]  H. Barlow,et al.  Convergent evidence for the visual analysis of optic flow through anisotropic attenuation of high spatial frequencies. , 2004, Journal of vision.

[5]  Larry N Thibos Retinal image quality for virtual eyes generated by a statistical model of ocular wavefront aberrations , 2009, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[6]  A. Watson,et al.  Predicting visual acuity from wavefront aberrations. , 2008, Journal of vision.

[7]  D. Field,et al.  Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes , 1997, Vision Research.

[8]  D. Tolhurst,et al.  Discrimination of changes in the second-order statistics of natural and synthetic images , 1994, Vision Research.

[9]  Sarah L. Elliott,et al.  Response normalization and blur adaptation: data and multi-scale model. , 2011, Journal of vision.

[10]  Huib de Ridder Image processing and the problem of quantifying image quality , 2001, ICIP.

[11]  M. Webster Adaptation and visual coding. , 2011, Journal of vision.

[12]  John Ross,et al.  Direct Evidence That “Speedlines” Influence Motion Mechanisms , 2002, The Journal of Neuroscience.

[13]  Philip B. Kruger,et al.  Stimuli for accommodation: Blur, chromatic aberration and size , 1986, Vision Research.

[14]  T. L. Harrington,et al.  Perception of motion using blur pattern information in the moderate and high-velocity domains of vision. , 1981, Acta psychologica.

[15]  J. R. Dorfman,et al.  Nonequilibrium statistical mechanics , 2007, Physics Subject Headings (PhySH).

[16]  Wilson S. Geisler,et al.  Motion streaks provide a spatial code for motion direction , 1999, Nature.

[17]  Michael A. Webster,et al.  Neural adjustments to image blur , 2010 .

[18]  D. Tolhurst,et al.  Band-limited contrast in natural images explains the detectability of changes in the amplitude spectra , 1997, Vision Research.

[19]  Differences between naïve and expert observers’ vergence and accommodative responses to a range of targets , 2010, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[20]  J. Álvarez-Ramírez,et al.  Multiscale entropy analysis of crude oil price dynamics , 2011 .

[21]  D. Tolhurst,et al.  The effects of amplitude-spectrum statistics on foveal and peripheral discrimination of changes in natural images, and a multi-resolution model , 2005, Vision Research.

[22]  A. Bradley,et al.  Statistical variation of aberration structure and image quality in a normal population of healthy eyes. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.

[23]  Eli Peli,et al.  A relationship between tolerance of blur and personality. , 2010, Investigative ophthalmology & visual science.