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Super-resolution is a method of combining various techniques in digital image processing, in order to achieve higher resolution in certain image segments, which initially had insufficient resolution and quality. The principal idea in this work is the use of the analysis of the level of detail and of the standard deviation, which results in enhancing the resolution of the digital image, whilst maintaining the overall image quality. In the first part of this article, an experimental method for estimating the standard deviation and the level of detail in a digital image has been shown, together with the inferred facts that result from this analysis. The second part of this article uses these facts in the process of designing an inverse filter by applying the averages of pixel intensities. The proposed method has significant advantages over the heretofore used super-resolution techniques, as it achieves the enhancement of the resolution from a single image, whilst retaining the initial image potential.

Inverse Filtering Method for Super-Resolution Digital Imaging