A convolution is very useful for signal processing in general. There is a lot of complex mathematical theory available for convolutions. For digital image processing, you don't have to understand all ...

The sharpen, edge-detection, and blur image effects are required to use image convolution to apply their effects to the input image. The size of the input and output image are fixed (i.e., they are ...

Automating String Processing in Spreadsheets using Input-Output Examples. Sumit Gulwani; PoPL'11, January 26-28, 2011, Austin, Texas, ... We describe an algorithm based on several novel concepts for ...

For pt.I see ibid., vol.48, no.1, p.102-32 (2000). This paper continues the investigation of the use of spectral analysis on certain noncommutative finite groups-wreath product groups-in digital ...