Wavelet compression is one of the best methods as it does not divide the image into blocks, but instead it analyzes the entire image, delivering superior compression ratio and better quality.
What the wavelet compression has in common with traditional compression methods is presenting the image as sets of real coefficients; on the other hand, most wavelet coefficients are almost zero, making it possible to approximate the image with a small number of large wavelet coefficients.
Wavelet Kompressor is currently discontinued, but this piece of software can still be helpful for any average user looking to enjoy the advantages of wavelet compression.
Other reasons to choose Wavelet Kompressor are its speed (the application uses an optional approximate mode for error estimation and with MMX wavelet transforms), using the same algorithm for both lossless and lossy coding, supporting multi-channels images and conversion between RGB and YCbCr, using simple run-length encoding, and encoding either for quality or for final size.
The last version of Wavelet Kompressor, 2.7, was improved with a better bitstream format, had its MMX optimization for wavelet optimizations removed to make code faster, its YUV transform was slightly changed, and decompression was set to work for all invalid data without overwriting.
Wavelet Kompressor features an extremely basic interface, displaying a “Load” button for importing files, a few compression options and a field containing channels.
Wavelet Kompressor is a good choice if you work a lot with images and you need to reduce their size to send them via email or post them on a website. The application is intuitive and easy to use and it will do the job in no time.
This software’s algorithm is based on multiresolutional analysis.