Bispectral Imaging Through Unknown Deterministic Aberrations

When the deterministic aberrations are known in an optical system, traditional de-blurring methods are effective . However, when the aberrations are difficult to quantify, such as telescope aberrations or the aberrations in the human eye, other methods are needed . One potential method for de-blurring an image that is formed from a system with unknown aberrations is the bispectral imaging method. It is a promising way to remove the effects of deterministic aberrations when random aberrations are present or artificially introduced into the system . Through computer simulations, we have found the optimal amount of random aberrations to have present in a system containing deterministic aberrations . This amount optimizes the image quality of the reconstruction at high light levels using 100 statistically independent aberrated images of the object . Defocus and several third-order aberrations were considered in the isoplanatic case . The performance of this method was characterized by reconstructing a point source and computing its Strehl ratio . These results are currently being used to incorporate the bispectral imaging method as part of a non-invasive technique to reconstruct high-resolution images of the back of the eye in human subjects .