The fractal compression of images allows to receive the greatest factor of compression, high image quality and resolution, which is not depending from initial image resolution. However, encoding process by this method has characterised by low speed that lay in the long search time for domain blocks. In this work question of increasing the speed of fractal compression of photo realistic images are considering.Keywords: fractal image compression, affine transform, IFS, image encoding, table method of search.
FRACTAL ENCODING-DECODING ALGORITHMThe one ofpossible fractal image encoding circuit has offered by Jacquin [2,3], and is containing follow steps. Image is partitioned by non-overlapping square range blocks of size nxn. Next, for every range block, a similar but larger domain block is found. The domain blocks usually size 2nx2n and are located anywhere on the image. On the way eight mapping variants with attracting affine transforming used. It is turns of the image on corners 90, 180, 270 (-90) degrees concerning its centre and symmetry translation about orthogonal axis.Approximation accuracy has concluded by mean square error:Selected
The aim of this work is an estimation of eve-conjunctiva. Dynamic observation can be made in the process ofpathological change diagnosis and treatment with using elaborated device. The work generalizes the experience ofpractzcal application and presents diagnostic and additional user possibilities ofthe digital complexfor processing ofeve-conjunctiva microcirculation. The digital system instantaneously provides an image, prints out the data ofstudy, cuts expenses on analysis ofeye-conjunctiva microcirculation and is several times cheaper thanforeign analogues while matching their quality.
The realization of logic-temporal functions processing in eye-processor type device is considered in the given paper. The KVP-transformations principle was offered to be used for this purpose. It permits to treat any incoming signals and form a unified function for making final decision regarding object identification. This approach will be realized by means of signals transformation into logic-temporal functions. Complex mathematical operations with logic-temporal functions are also considered. Derivation and integration of logic-temporal functions, influence operator formation can be considered as such operations. All operations with logic-temporal functions are suggested to be realized by means of quantronum-automata. They are multi-dimensional threshold devices and allow to process signals with a great number of parameters.
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