Super-resolution is a technology of generating high-resolution images from multiple low-resolution images through image processing. Different from the traditional spatial scaling techniques (such as bi-cubic interpolation and poly-phase interpolation), super-resolution utilizes both spatial and temporal information from multiple low-resolution images. Super-resolution is capable of producing images with much more spatial details and sharper edges, and with fewer artifacts (such as blurriness and aliasing) and less noticeable noise.
depth re-allocation for stereoscopic 3D content
Stereoscopic 3D content originally created for cinema viewing needs to be repurposed for viewing properly on 3D displays of different sizes such as 3DTVs at home, due to the non-linear relationship between disparity and perceived depth. The objective of this process is to maintain as much as possible the original depth relationships among objects in the content while staying within the comfort depth range of the targeted displays.