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The authors explore the current use of modern image processing techniques to decipher ancient texts, and look toward future applications, including “discovering” original texts from overwritten documents.

Error diffusion is a popular algorithm for the binarization of continuous-tone images. A modification of the error-diffusion algorithm is shown that introduces an input-dependent threshold into the process. This modification establishes a fast and efficient way to increase or decrease edge enhancement in the algorithm.

A technique has recently been proposed for processing astronomical photographs to remove the effects of turbulence. The method involves averaging over many short-exposure photographs of an object to reconstruct a diffraction-limited image of the object. A two-dimensional computer simulation of the reconstruction technique is presented. The results indicate that diffraction-limited imaging with a 100 in. telescope is possible even with 2 arc sec seeing conditions.

An explicit relation for exponential diffuser-transmittance power spectrum is derived in terms of the diffuser-surface statistics. Although closed-form solutions are not generally possible, some insight into the relations follows from expressions that are developed for zero-order energy and the mean-square spread of the spectrum. Known relations for gaussian diffusers are compared to those derived for exponential diffusers. An example of a possible diffuser phase correlation is used to illustrate the analysis.