PPT-5. Fractal Compression Fractal compression

is a lossy compression method used to compress images using fractals The method is best suited for photographs of natural scenes trees mountains ferns clouds The fractal compression technique relies on the fact that in certain images parts of the image resemble other parts of the same image. Smash the information to bits. Overview. The primary goal of image compression is to minimize the memory footprint of image data so that storage and transmission times are minimized. . Storage capacity can be limited, as is the case with digital cameras. By Cabel Sholdt and Paul Zeman. Overview. Why Fractal Image Compression. Mathematical Background. How does it work?. Examples. Possible Improvements. Why Fractal Image Compression. Different type of compression scheme worth exploring. Amgad. Hussein, Maria . Tokarska. , Edward . Grinko. , . Dimitar. . Atassanov. , Megan Varghese, Emilio . Asperti. GEOMETRY. "Clouds are not spheres, mountains are not cones, coastlines . are not . The quality of dried food is affected by a number of factors including quality of raw material, initial microstructure, and drying conditions. The structure of the food materials goes through deformations due to the simultaneous effect of heat and mass transfer during the drying process. Shrinkage and changes in porosity, microstructure and appearance are some of the most remarkable features that directly influence overall product quality. Porosity and microstructure are the important material properties in relation to the quality attributes of dried foods. Fractal dimension (FD) is a quantitative approach of measuring surface, pore characteristics, and microstructural changes [1]. However, in the field of fractal analysis, there is a lack of research in developing relationship between porosity, shrinkage and microstructure of different solid food materials in different drying process and conditions [2-4]. Establishing a correlation between microstructure and porosity through fractal dimension during convective drying is the main objective of this work.. By. Leslie Ryan. Common Terms. Iteration-. To . repeat a pattern multiple times, usually with a series of steps. . Reflection-. An image that is thrown back from light, heat, or sound. Like an image you see in a mirror. . Modelling. Fractals. Fractals. A fractal is a mathematical set that typically displays self-similar . patterns. Fractals . may be exactly the same at every scale, . or they . may be nearly the same at different scales. Ferran Pérez de la Cruz i Yeray Rodríguez Bejarano. Itinerary. Introduction. Activities. Simulating Natural Objects and some fractal applications. Activities. Some fractals application. Introduction. Basic Concept. Entities are composed of features that are reproduced at different scales.. And whole entities can be described as a sum of smaller features that have the same characteristics. . Typically based on lines and examines line segments that have the same pattern.. on Mars: a fractal analysis of the . Athena’s . microscopic. images. Giorgio Bianciardi (1), Vincenzo Rizzo (2), and Nicola . Cantasano. (3). 1) Dpt. Medical Biotechnologies, University of Siena, Siena, Italy. Asst. . Prof. Ferhat PAKDAMAR . (. Civil. . Engineer. ). N Blok 1-17 . pakdamar@gtu.edu.tr. Gebze Technical . University. Department. of Architecture. Fall – . 2016_2017. Week. 2. Osmanlı Geometri. Light . Scattering. . Part 1: Aggregate Structure & Internal Dynamics. 786. Understanding SLS ‘static’ data. I. (. q. ): control . parameter . q. . [units 1/Length] . Large . q. probes small length scales . Vesta Coufal. Gonzaga University Philosophy Club. March 16, 2011. Fractal: Mandelbrot Set. http://. math.youngzones.org. /Fractal webpages/. Julia_set.html. Escher: Poincare Disk Model of Hyperbolic Geometry. and. . Rhythms. . of Life. Dr. Thomas Caraco. Outline. Ecological Complexity. . Background. . Discrete-Time Self-Regulation. . Overcompensation. Population Dynamics: Route to Chaos. Evolution to Edge of Chaos?. Athena’s . microscopic. images. Giorgio Bianciardi (1), Vincenzo Rizzo (2), and Nicola . Cantasano. (3). 1) Dpt. Medical Biotechnologies, University of Siena, Siena, Italy. 2) National . Research.