20-09-2017, 03:12 PM
Fractal compression is a lossy compression method for digital images, based on fractals. The method is best suited for textures and natural images, based on the fact that parts of an image often resemble other parts of the same image. Fractal algorithms convert these parts into mathematical data called "fractal codes" that are used to recreate the coded image.
With fractal compression, coding is extremely costly computationally because of the search used to find the self-similarities. However, decoding is quite fast. While this asymmetry has made it so far impossible for real-time applications, when video is archived for distribution from disk storage or file downloads, fractal compression becomes more competitive.
With common compression ratios, up to approximately Fractal compression provides similar results to DCT-based algorithms, such as JPEG. At high compression ratios fractal compression can offer superior quality. In the case of satellite images, proportions of more have been achieved with acceptable results. Fractal video compression ratios have been achieved at reasonable compression times (2.4 to 66 sec / frame). Compression efficiency increases with greater image complexity and colour depth compared to grayscale images.
With fractal compression, coding is extremely costly computationally because of the search used to find the self-similarities. However, decoding is quite fast. While this asymmetry has made it so far impossible for real-time applications, when video is archived for distribution from disk storage or file downloads, fractal compression becomes more competitive.
With common compression ratios, up to approximately Fractal compression provides similar results to DCT-based algorithms, such as JPEG. At high compression ratios fractal compression can offer superior quality. In the case of satellite images, proportions of more have been achieved with acceptable results. Fractal video compression ratios have been achieved at reasonable compression times (2.4 to 66 sec / frame). Compression efficiency increases with greater image complexity and colour depth compared to grayscale images.