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Simulation of a Vision Correction Display System

Vidya Sunil, Renu M Rameshan

TL;DR

The paper addresses non‑invasive correction for refractive errors using a Vision Correction Display (VCD) and demonstrates a Blender-based simulation of the system. It formulates a forward model for display-to-retina light transport with a 4D light field and an inverse projection to generate the required display light field $L_d$, such that the retina forms the desired image $I_r = P L_d$ (grounded in the relation $I_r(x)=\int L_r(x,u) A(u)\,du$). The authors implement two front-ends—pinhole arrays and lenslet arrays—fed by an LCD to produce $L_d$, and they model a defocused eye to emulate hyperopic and myopic viewing. Results show improved retinal sharpness for both hyperopic and myopic cases compared with plain LCD, with pinholes introducing vignetting and lenslets reducing those artefacts but still leaving some artefacts. The work provides a practical design tool for VCD development and highlights directions to reduce artefacts and extend correction to additional aberrations, potentially enhancing accessibility for visually impaired users.

Abstract

Eyes serve as our primary sensory organs, responsible for processing up to 80\% of our sensory input. However, common visual aberrations like myopia and hyperopia affect a significant portion of the global population. This paper focuses on simulating a Vision Correction Display (VCD) to enhance the visual experience of individuals with various visual impairments. Utilising Blender, we digitally model the functionality of a VCD in correcting refractive errors such as myopia and hyperopia. With these simulations we can see potential improvements in visual acuity and comfort. These simulations provide valuable insights for the design and development of future VCD technologies, ultimately advancing accessibility and usability for individuals with visual challenges.

Simulation of a Vision Correction Display System

TL;DR

The paper addresses non‑invasive correction for refractive errors using a Vision Correction Display (VCD) and demonstrates a Blender-based simulation of the system. It formulates a forward model for display-to-retina light transport with a 4D light field and an inverse projection to generate the required display light field , such that the retina forms the desired image (grounded in the relation ). The authors implement two front-ends—pinhole arrays and lenslet arrays—fed by an LCD to produce , and they model a defocused eye to emulate hyperopic and myopic viewing. Results show improved retinal sharpness for both hyperopic and myopic cases compared with plain LCD, with pinholes introducing vignetting and lenslets reducing those artefacts but still leaving some artefacts. The work provides a practical design tool for VCD development and highlights directions to reduce artefacts and extend correction to additional aberrations, potentially enhancing accessibility for visually impaired users.

Abstract

Eyes serve as our primary sensory organs, responsible for processing up to 80\% of our sensory input. However, common visual aberrations like myopia and hyperopia affect a significant portion of the global population. This paper focuses on simulating a Vision Correction Display (VCD) to enhance the visual experience of individuals with various visual impairments. Utilising Blender, we digitally model the functionality of a VCD in correcting refractive errors such as myopia and hyperopia. With these simulations we can see potential improvements in visual acuity and comfort. These simulations provide valuable insights for the design and development of future VCD technologies, ultimately advancing accessibility and usability for individuals with visual challenges.
Paper Structure (12 sections, 5 equations, 4 figures)

This paper contains 12 sections, 5 equations, 4 figures.

Figures (4)

  • Figure 1: Image formation in retina from the display light field
  • Figure 2: Formation of vision correction display and image formation in retina.
  • Figure 3: Output of the simulated hyperopic system.
  • Figure 4: Output of the simulated myopic system.