An Image Processing Approach to Pre-compensation for Higher-Order Aberrations in the Eye

• Main Authors: Miguel Alonso Jr, Armando Barreto
• Format: Article
• Language: English
• Published: International Institute of Informatics and Cybernetics 2004-06-01
• Series: Journal of Systemics, Cybernetics and Informatics
• Subjects: Deblurring; Optical transfer function; Point spread function; Retina; Pre-deblurring; Deconvolution
• Online Access: http://www.iiisci.org/Journal/CV$/sci/pdfs/P808607.pdf

Human beings rely heavily on vision for almost all of the tasks that are required in daily life. Because of this dependence on vision, humans with visual limitations, caused by genetic inheritance, disease, or age, will have difficulty in completing many of the tasks required of them. Some individuals with severe visual impairments, known as high-order aberrations, may have difficulty in interacting with computers, even when using a traditional means of visual correction (e.g., spectacles, contact lenses). This is, in part, because these correction mechanisms can only compensate for the most regular (low-order) distortions or aberrations of the image in the eye. This paper presents an image processing approach that will pre-compensate the images displayed on the computer screen, so as to counter the effect of the eye's aberrations on the image. The characterization of the eye required to perform this customized pre-compensation is the eye's Point Spread Function (PSF). Ophthalmic instruments generically called "Wavefront Analyzers" can now measure this description of the eye's optical properties. The characterization provided by these instruments also includes the "higher-order aberration components" and could, therefore, lead to a more comprehensive vision correction than traditional mechanisms. This paper explains the theoretical foundation of the methods proposed and illustrates them with experiments involving the emulation of a known and constant PSF by interposing a lens in the field of view of normally sighted test subjects.