Features
With fractal compression, encoding is extremely computationally expensive because of the search used to find the self-similarities. Decoding, however is quite fast. While this asymmetry has so far made it impractical for real time applications, when video is archived for distribution from disk storage or file downloads fractal compression becomes more competitive.[2][3]
At common compression ratios, up to about 50:1, Fractal compression provides similar results to DCT-based algorithms such as JPEG. [4] At high compression ratios fractal compression may offer superior quality. For satellite imagery, ratios of over 170:1[5] have been achieved with acceptable results. Fractal video compression ratios of 25:1-244:1 have been achieved in reasonable compression times (2.4 to 66 sec/frame).[6]
Compression efficiency increases with higher image complexity and color depth, compared to simple grayscale images.