Image Scalability as a Problem

The digital image is stored in two formats in the computer: the vector image and
the bitmap image. Stored using mathematical equations, the image information contained in vector images allows for infinite scalability without loss of visual information.

The bitmap only stores arrays of image data with fixed values. Since the pixel information is set for a given resolution at the time of image creation or capture scaling the image larger afterwards causes degradation of the image.

The problem arises from attempting to create image information that doesn’t exist. Computer algorithms are used to interpolate pixel information from the existing image in order to fill the non-existing pixels of the new image resolution.

Many algorithms exist for allowing image scalability as a possibility, but none of them to date create truly lossless scalability like vector graphics do. The
research problem presented here: to create an algorithm for allowing lossless scalability in bitmap format images.