Wavelet
Compression
- Wavelet
compression is one of the most effective methods of image compression.
The algorithm is based on multiresolutional analysis. The part of the
mathematical analysis is being actively developed during last 15 years.
- Like the
traditional JPEG compression, wavelet compression algorithm presents
an image as sets of real coefficients. Most of the wavelet
coefficients of a typical image are nearly zero, and the image thus is
well-approximated with a small number of large wavelet coefficients.
- The advantage of
wavelet compression is that, in contrast to JPEG, wavelet algorithm
does not divide image into blocks, but analyze the whole image. The
characteristic of wavelet compression allows to get best compression
ratio, while maintaining the quality.
- Results of
compression of 256x256 24 bit Bitmap with Wavelet and standard JPEG
are shown below:
Wavelet
compression
file size: 1861 bytes
compression ratio - 105.6
JPEG
compression
file size: 1895 bytes
compression ratio - 103.8
