[visionlist] Seeking recommendations for blurring filters

Andrew Watson abwatson at me.com
Tue Jun 13 22:58:30 -04 2023


It is of course also possible to computationally simulate optical blur in an image from an arbitrary set of wavefront aberrations. We explain how in this paper:

Watson, A. B. (2015). Computing human optical point spread functions. Journal of Vision, 15(2):26, 1-25, http://journalofvision.org/15/2/26/.


> On Jun 13, 2023, at 3:06 PM, Oruc, Ipek <ipor at mail.ubc.ca> wrote:
> Dear All,
> Thank you for your excellent suggestions Michael, Alexandre, Lawrence, Mike, Curtis, Don, Siddhart, Vince, Tony, Keith, JP, Sergejs, Carlo, Sergio, Jeff, Sven! 
> There are many options here for us to try. I’m sure we will find a good solution among these. To summarize the suggestions for physical blurring methods, these were roughly under the main headings of transparent sheet/drafting film/frosted acetate, optical/refraction lenses, holographic/light shaping/other diffusers, Bangerter filters, and via projector settings.
> Thank you all also for the papers shared. I will highlight two here that were especially helpful in my specific case, one by Heinrich and Strubin (2020) that examines a variety of filters to specify options that degrade acuity while sparing contrast [1] and another one by Strasburger, Bach & Heinrich (2018) that describe the differences between digital blurring (low-pass filtering) and dioptric blur [2].
> [1] Heinrich, S. P., & Strübin, I. (2020). Use of diffusing filters for artificially reducing visual acuity when testing equipment and procedures. Documenta Ophthalmologica, 140, 83-93.
> [2] Strasburger, H., Bach, M., & Heinrich, S. P. (2018). Blur unblurred—a mini tutorial. i-Perception, 9(2), 2041669518765850.
> Best,
> Ipek
> ________________
> Ipek Oruc, PhD (she/her)
> Associate Professor
> Department of Ophthalmology & Visual Sciences
> University of British Columbia
> Rm 4440 - 818 West 10th Avenue
> Vancouver, BC  V5Z 1M9
> email: ipor at mail.ubc.ca <mailto:ipor at mail.ubc.ca>
> URL: http://www.visualcognition.ca/ipek/
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