The procedure of adding new pixels to a digital image between the image s existing pixels. Interpolation software analyzes the adjacent pixels to create the new ones when enlarging an image file. The objective is to increase the size of an image while maintaining its resolution by creating new pixels that fill in the gaps between existing pixels, all the while comparing the values of the new pixels with those of adjacent pixels. (See Bicubic interpolation - the best type of interpolation.)Photo Tips
A digital picture can be enlarged in size by adding new pixels to the existing grid. Some camera and scanner software do this as the picture is processed to give higher resolution results. The fact is, interpolation increases the picture by guessing what pixels are required and uses information from the surrounding pixels to achieve this. Although the overall picture count will rise image quality can actually suffer and definition is often reduced.
Method used to increase the resolution of an image map by adding pixels to an image based on the value of surrounding pixels. This method can cause artifacting
The process whereby an image-editing program adds supplemental pixels that are created from the image s existing, neighboring pixels, in effect creating a file with more image data and thus producing better image output.
The value of a new pixel as defined by the value of its nearest neighbors, calculated by averaging those neighbor pixels using a mathematical formula. Required when changing picture format, for example.
To deliver motion smoothing and to reduce judder when converting field rates, a point on successive frames is created from the data of neighboring points. Also used to create frame averaging for special effects and slow motion.