A new
progressive file format for lossy and lossless image
compression
Christoph Stamm
ETH Zurich, Institute of Theoretical Computer
Science
ETH Zentrum, 8092 Zurich,
Switzerland
stamm@inf.ethz.ch,
http://www.inf.ethz.ch/personal/stamm/
ABSTRACT
We
present a new image file format, called Progressive Graphics File (PGF), which
is based on a discrete wavelet transform with progressive coding features. We
show all steps of a transform based coder in detail and discuss some important
aspects of our careful implementation. PGF can be used for lossless and lossy
compression. It performs best for natural images and aerial ortho-photos. For
these types of images it shows in its lossy compression mode a better
compression efficiency than JPEG. This efficiency gain is almost for free,
because the encoding and decoding times are only marginally longer. We also
compare PGF with JPEG 2000 and show that JPEG 2000 is about ten times slower
than PGF. In its lossless compression mode PGF has a slightly worse compression
efficiency than JPEG 2000, but a clearly better compression efficiency than
JPEG-LS and PNG. If both, compression efficiency and runtime, is important, then
PGF is the best of the tested algorithms for compression of natural images and
aerial photos.
Keywords:
still image file format, lossy/lossless image compression, progressive coding,
discrete wavelet transform.