Super-resolution from a single image
I was skeptical of the bottom line of the eye chart image.  characters are 3x3 pixels.  The o should translate to a dot.  there is no hole.<p>Their explanation for it:<p>"The lines of letters have been recovered quite well due to the existence of cross-scale patch recurrence in those image areas. However, the small digits on the left margin of the image could not be recovered, since their patches recurrence occurs only within the same (input) scale. Thus their resulting uniﬁed SR constraints reduce to the “classical” SR constraints (imposed on multiple patches within the input image). The resulting resolution of the digits is better than the bicubic interpolation, but suffers from the inherent limits of classical SR [3, 14]."<p>So it's guessing based on the larger characters.  Neat.<p>Here's their last line:<p>DKN?MULJSPAVMRA?C?OVZO<p>Here's the actual:<p>DKNTWULJSPXVMRAHCFOYZG<p>(from what I can read.)<p>( <a href="http://1.bp.blogspot.com/-VgvutrSWaFk/T4VI-2tDH2I/AAAAAAAAAXY/tx60XCDeAxI/s1600/reading+glasses+eye+chart.jpg" rel="nofollow">http://1.bp.blogspot.com/-VgvutrSWaFk/T4VI-2tDH2I/AAAAAAAAAX...</a> )<p>This could probably help ocr.<p>Other than this, I think Genuine Fractals and BenVista PhotoZoom give similar results.