Two-dimensional convolute integers represents advanced state of the art technology for addressing problems associated with two-dimensional data sets, i.e., images. Critical peer review of published journal articles, technical briefs, patent applications, and private correspondences (available upon request) indicate the value of this new and powerful technology in both the federal, public, and private sectors. Applications range from correct curl calculations of solar magnetic fields, to gradient surface image generation, low pass, high pass, band pass digital filters of two-dimensional data sets. The technique results from twodimensional regression theory and has ease of application in both software and hardware (real-time). Professor warner, chemistry department emory university, feels the work will one of the most referenced to appear in analytical chemistry and applies directly to the emerging hyphenated instruments for chemical analysis. The even data mask aspect of the work, interstitial point generation, has the potential of replacing faulty signals in such areas as phased array radar systems. Sufficient work has been accomplished to merely describe the theory and generate a limited number of test cases, but these results show great promise.
