The Resolution Synthesis algorithm (ResSynth or RS) is an image interpolation algorithm which computes the minimum mean-squared error estimate of the high-resolution image, given the low-resolution image. ResSynth produces sharper images than the commonly used Bilinear and Bicubic interpolation; and it is computationally efficient. However, the original ResSynth algorithm has some deficiencies, which are: 1) it tends to aggravate noise and JPEG artifacts in the image; 2) it produces halos around strong edges in the image; 3) it occasionally generates “color sprinkles” - pixel errors around the edges. To overcome these problems, we developed the New ResSynth algorithm based on the original algorithm. New ResSynth significantly improves the quality of the interpolated images.
Buyue Zhang, Jay S. Gondek, Morgan T. Schramm, Jan P. Allebach, "Improved Resolution Synthesis for Image Interpolation" in Proc. IS&T Int'l Conf. on Digital Printing Technologies (NIP22), 2006, pp 343 - 345, https://doi.org/10.2352/ISSN.2169-4451.2006.22.1.art00007_2