Ppt Fractal Image Compression And Parallelization Of The Fracta L The decision of a compression problem of the image or, in more common sense, image coding, used achievements and stimulated development of many areas of technics and mathematics. Try and find a set of transforms that map an image onto itself. the key is the collage theorem states that if the error difference between the target image and the transformation of that image is less than a certain value the transforms are an equivalent representation of the image. how does it work? encoding.
Ppt Fractal Image Compression And Parallelization Of The Fracta L This document discusses fractal image compression. it begins with an overview and explanation of why fractal compression is worth exploring due to its ability to take advantage of similarities within images. Fractal image compression is a lossy compression method that uses fractal geometry to compress images. it works by dividing an image into small blocks and using transformations like scaling and rotation to match each block to a similar block from the original image. Overview lify under magnification. fractal image compression is a technique which associa es a fractal to an image. on the one hand, the fractal can be described in terms of a few succinct rules, while on the other, the fractal contains much or all of the image information. since the rules are described with less bits of data than the i. The compression ratio for the fractal scheme is hard to measure since the image can be decoded at any scale. it is decoded at 4 times it’s original size. so the full decoded image contains 16 times as many pixels and hence this compression ratio is 91.2 to 1.
Ppt Fractal Image Compression And Parallelization Of The Fracta L Overview lify under magnification. fractal image compression is a technique which associa es a fractal to an image. on the one hand, the fractal can be described in terms of a few succinct rules, while on the other, the fractal contains much or all of the image information. since the rules are described with less bits of data than the i. The compression ratio for the fractal scheme is hard to measure since the image can be decoded at any scale. it is decoded at 4 times it’s original size. so the full decoded image contains 16 times as many pixels and hence this compression ratio is 91.2 to 1. Decompression • decompression is done by applying the transformations and translations described in the fractal codes on an arbitrary image (usually just a grey background) iteratively until an image is produced that looks approximately like the original. In fractal compression of images are used ifs of a special type, the system of the iterated piecewise defined functions (partitioned iterated function system pifs). This paper gives and introduction on image coding based on fractals and develops a simple algorithm to be used as a reference design. An opportunity of scaling fractal images, while the unarchival process is in progress, without introduction of artefacts and loss of details. unique feature of this algorithm is in following: the enlarged image is not devided into squares.
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