Fractal encoding as approach to processing of the medical thermal images

The features of the application of the thermal imaging for examination of the oncological patients are considered. The capability of the fractal encoding for processing of the medical thermograms are analyzed. The main goal of this paper is characterization for fractal image encoding with quadtree partitioning and with self-organizing network. The using of these parameters must make sure the optimum relationship between the visual quality of the decoding thermograms and size of the files where these thermograms are saved. The algorithm for increasing of the linear size for fragments of the traced thermal medical images is developed. This method is based on combination of the tradition approach to interpolation (image resampling by bicubic, bilinear and nearest neighbour interpolation) and "fractal zoom". The integral quality coefficient, which is included, the evaluations of the level for adaptation of the human visual system, reliance of the available luminance range and combined thermal photo's contrast is used as evaluation of the visual quality for processed images.