Contour Enhancement Benefits Older Adults with Simulated Central Field Loss

Purpose. Age-related macular degeneration is the leading cause of vision loss among Americans aged >65 years. Currently, no effective treatment can reverse the central vision loss associated with most age-related macular degeneration. Digital image-processing techniques have been developed to improve image visibility for peripheral vision; however, both the selection and efficacy of such methods are limited. Progress has been difficult for two reasons: the exact nature of image enhancement that might benefit peripheral vision is not well understood, and efficient methods for testing such techniques have been elusive. The current study aims to develop both an effective image enhancement technique for peripheral vision and an efficient means for validating the technique. Methods. We used a novel contour-detection algorithm to locate shape-defining edges in images based on natural-image statistics. We then enhanced the scene by locally boosting the luminance contrast along such contours. Using a gaze-contingent display, we simulated central visual field loss in normally sighted young (aged 18–30 years) and older adults (aged 58–88 years). Visual search performance was measured as a function of contour enhancement strength [“Original” (unenhanced), “Medium,” and “High”]. For preference task, a separate group of subjects judged which image in a pair “would lead to better search performance.” Results. We found that although contour enhancement had no significant effect on search time and accuracy in young adults, Medium enhancement resulted in significantly shorter search time in older adults (about 13% reduction relative to Original). Both age-groups preferred images with Medium enhancement over Original (2–7 times). Furthermore, across age-groups, image content types, and enhancement strengths, there was a robust correlation between preference and performance. Conclusions. Our findings demonstrate a beneficial role of contour enhancement in peripheral vision for older adults. Our findings further suggest that task-specific preference judgments can be an efficient surrogate for performance testing.

[1]  D B Elliott,et al.  CONTRAST SENSITIVITY DECLINE WITH AGEING: A NEURAL OR OPTICAL PHENOMENON? * , 1987, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[2]  Jean-Baptiste Bernard,et al.  Page mode reading with simulated scotomas: A modest effect of interline spacing on reading speed , 2007, Vision Research.

[3]  A. Bron,et al.  Effect of age on contrast sensitivity function: uniocular and binocular findings. , 1985, The British journal of ophthalmology.

[4]  Eli Peli,et al.  Image Enhancement for Impaired Vision: the Challenge of Evaluation , 2009, Int. J. Artif. Intell. Tools.

[5]  D. Pelli,et al.  The uncrowded window of object recognition , 2008, Nature Neuroscience.

[6]  Bartlett W. Mel,et al.  Effects of Contour Enhancement on Low-Vision Preference and Visual Search , 2012, Optometry and vision science : official publication of the American Academy of Optometry.

[7]  Gordon E Legge,et al.  Psychophysics of reading XX. Linking letter recognition to reading speed in central and peripheral vision , 2001, Vision Research.

[8]  Jyrki Rovamo,et al.  Identification of facial images in peripheral vision , 2001, Vision Research.

[9]  I. Biederman.  Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[10]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[11]  The contrast sensitivity gradient across the major oblique meridians of the human visual field , 1990, Vision Research.

[12]  R. Hess,et al.  Human peripheral spatial resolution for achromatic and chromatic stimuli: limits imposed by optical and retinal factors. , 1991, The Journal of physiology.

[13]  David B Elliott,et al.  Comparing clinical tests of visual function in cataract with the patient's perceived visual disability , 1990, Eye.

[14]  D C Knill,et al.  Perception of surface contours and surface shape: from computation to psychophysics. , 1992, Journal of the Optical Society of America. A, Optics and image science.

[15]  A. Derrington,et al.  Refraction, aliasing, and the absence of motion reversals in peripheral vision , 1995, Vision Research.

[16]  U. Tulunay-Keesey,et al.  Threshold and suprathreshold spatiotemporal response throughout adulthood. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[17]  R. Superstein,et al.  Functional complaints, visual acuity, spatial contrast sensitivity, and glare disability in preoperative and postoperative cataract patients. , 1999, Journal of cataract and refractive surgery.

[18]  R. Sekuler,et al.  Contrast sensitivity throughout adulthood , 1982, Vision Research.

[19]  R. F. Hess,et al.  The contrast sensitivity gradient across the human visual field: With emphasis on the low spatial frequency range , 1989, Vision Research.

[20]  Susana T. L. Chung.  Improving reading speed for people with central vision loss through perceptual learning. , 2011, Investigative ophthalmology & visual science.

[21]  E M Fine,et al.  Effects of cataract and scotoma on visual acuity: a simulation study. , 1999, Optometry and vision science : official publication of the American Academy of Optometry.

[22]  D. Levi.  Crowding—An essential bottleneck for object recognition: A mini-review , 2008, Vision Research.

[23]  Gang Luo,et al.  Visual search performance of patients with vision impairment: effect of JPEG image enhancement , 2012, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[24]  Benita J. O’Colmain,et al.  Prevalence of age-related macular degeneration in the United States. , 2004, Archives of ophthalmology.

[25]  Shimon Ullman,et al.  Recognizing solid objects by alignment with an image , 1990, International Journal of Computer Vision.

[26]  Eli Peli,et al.  Digital enhancement of television signals for people with visual impairments: Evaluation of a consumer product , 2008, Journal of the Society for Information Display.

[27]  B. Brown,et al.  Age-Related Changes in Contrast Sensitivity in Central and Peripheral Retina , 1988, Perception.

[28]  A. Bradley,et al.  Characterization of spatial aliasing and contrast sensitivity in peripheral vision , 1996, Vision Research.

[29]  Gordon E. Legge,et al.  Psychophysics of reading. XVIII. The effect of print size on reading speed in normal peripheral vision , 1998, Vision Research.

[30]  Eric Castet,et al.  Gaze-contingent simulation of retinopathy: Some potential pitfalls and remedies , 2011, Vision Research.

[31]  Gary S. Rubin,et al.  Low vision reading with sequential word presentation , 1994, Vision Research.

[32]  Eli Peli,et al.  Measuring perceived video quality of MPEG enhancement by people with impaired vision. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[33]  Robert W. Massof,et al.  Racial variations in causes of vision loss in nursing homes: The Salisbury Eye Evaluation in Nursing Home Groups (SEEING) Study. , 2004, Archives of ophthalmology.

[34]  R. Haber,et al.  Visual Perception , 2018, Encyclopedia of Database Systems.

[35]  Peter E Pidcoe,et al.  Oculomotor tracking strategy in normal subjects with and without simulated scotoma. , 2006, Investigative ophthalmology & visual science.

[36]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[37]  Antonio Torralba,et al.  Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.

[38]  J. Robson,et al.  Probability summation and regional variation in contrast sensitivity across the visual field , 1981, Vision Research.