KOŇAS, P.: evaluation of fractal dimensions from bitmap image (Part: Algorithms). Acta univ. agric. et silvic. Mendel. Brun., 2004, LII, No. 1, pp. 175-182 The work assembled the complex application for evaluation of main fractal characteristics from input image. New simple modifications of evaluation of positive cells according to appropriate scale were implemented. Detail description of theor...

Fractal image compression is an engaging and worthwhile technology that may be successfully applied to still image coding, especially at high compression ratios. Unfortunately, the large amount of computation needed for the image compression (encoding) stage is a major obstacle that needs to be overcome. In spite of numerous and many-sided attempts to accelerate fractal image compression times,...

Based on the standard fractal transformation in spatial domain, simple relations may be found relating coefficients in detail subbands in the wavelet domain. In this work we evaluate a hybrid wavelet-fractal image coder, and we test its ability to compress radiographic images of weld defects. A comparative study between the hybrid coder and standard fractal compression technique have been made ...

Fractal image compression (FIC) is an image coding Technology based on the local similarity of image structure. It is broadly used in many fields such as image recovery, image denoising, image verification, and encryption. FIC, still, bear the high computational complexity in encoding. Although many schemes are available to speed up encoding, they do not easily satisfy the encoding time or the ...

Ever since Benoit Mandelbrot published his book on fractals [1], we’ve become accustomed to seeing fantastic and beautiful fractal images such as the ones at the bottom of the pages of this article. A fractal is a mathematical object that exhibits self similarity — it looks the same at any scale. If you zoom in on an image of a fractal, you see the same structure no matter how far you go, at le...

In this paper the age group estimation is presented based on combination of texture and fractal dimension features. The age of the human is used as one of the important key parameter for computer vision applications. The fractal dimension of the face image and the texture analysis is used to classify the age of the person into the three different groups such as child(10-20), young(21-50) and ol...

Fractal geometry has proven to be a useful tool in quantifying the structure of a wide range of idealized and naturally occurring objects, from pure mathematics, through physics and chemistry, to biology and medicine. In the past few years fractal analysis techniques have gained increasing attention in signal and image processing, especially in medical sciences, e.g. in pathology, neuropsychiat...

In fractal image compression a contractive affine mapping whose fixed point is an approximation to the original image has to be determined. Usually, this mapping is found in a heuristic way. In this paper, we discuss rate-distortion based fractal image coding where the code corresponding to the mapping is optimal in the sense that it guarantees the lowest collage error (distortion between the o...

Fractal image compression uses the property of selfsimilarity in an image and utilizes the partitioned iterated function system to encode it. Fractal image compression is attractive because of high compression ratio, fast decompression and multi-resolution properties. The main drawback of Fractal Image Compression is the high computational cost and is the poor retrieved image qualities. To over...