GPU-based processing of Hartmann–Shack images for accurate and high-speed ocular wavefront sensing
| Autor: | Pedro M. Prieto, Juan Mompeán, Juan L. Aragón, Pablo Artal |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Wavefront
Pixel Computer Networks and Communications Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Frame rate Root mean square medicine.anatomical_structure Hardware and Architecture 0202 electrical engineering electronic engineering information engineering medicine Image noise 020201 artificial intelligence & image processing Human eye Computer vision Artificial intelligence Graphics business Software |
| Zdroj: | Future Generation Computer Systems. 91:177-190 |
| ISSN: | 0167-739X |
| DOI: | 10.1016/j.future.2018.09.010 |
| Popis: | Hartmann–Shack aberrometry is a widely used technique in the field of visual optics but, high-speed and accurate processing of Hartmann–Shack images can be a computationally expensive/resource intensive task. While some advancements have been made in achieving high-performance processing units, they have not been specifically designed for processing Hartmann–Shack images of the human eye with Graphics Processing Units. In this work, we present the first full-Graphics Processing Unit implementation of a Hartmann–Shacksensor algorithm aimed at accurately measuring ocular aberrations at a high speed from high-resolution spot pattern images. The proposed algorithm, called PaPyCS (Parallel Pyramidal Centroid Search), is inherently parallel and performs a very robust centroid search to avoid image noise and other artifacts. This is a field where the use of Graphics Processing Units have not been exploited despite the fact that they can boost Adaptive Optics systems and related closed-loop approaches. Our proposed implementation achieves processing speeds of 380 frames per second for high resolution (1280x1280 pixels) images, in addition to showing a high resilience to system and image artifacts that appear in Hartmann–Shack images from human eyes: more than 98% of the Hartmann–Shack images, with aberrations of up to 4 μ m Root Mean Square for a 5.12mm pupil diameter, were measured with less than 0.05 μ m Root Mean Square Error, which is basically negligible for ocular aberrations. |
| Databáze: | OpenAIRE |
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