M. Barnsley, L. Barnsley. Fractal Image Compression. Institute Of Mathematics And Its Applications Conference Series, 61:183-210, 1997.
The problem of storing image data in a digital environment is both conceptually challenging and commercially important. This paper reviews and compares three popular methodologies for storing image data: basic raster scanned bitmapped formats, the JPEG standard for compressed image data using the Discrete Cosine Transform, and fractally compressed image data based on the Fractal Transform Method.
@article{BaBa97,
Author = {Barnsley, M. and Barnsley, L.},
Title = {Fractal Image Compression},
Journal = {Institute Of Mathematics And Its Applications Conference Series},
Volume = {61},
Pages = {183--210},
Publisher = {Oxford University Press},
Year = {1997}
}