Compression Mechanisms for Images with Fractal Approach

Abstract

Motivation and Perspective newlineNow a days saving the bandwidth on the Internet is a major newlineissue. In Indian scenario the issue is more relevant because newlinewe don t have very high speed lines to handle the huge newlinetraffic. In this era we cannot think of the messages without newlinestill images and videos. Videos are considered as the newlinesequences of frames or images. Therefore image is the basic newlineunit of compression in multimedia messages. Images can newlinebe broadly classified into two classes. First class cannot newlinetolerate any loss like technical drawings, geometric shapes newlineor medical images. Another class of image can tolerate loss newlineup to certain extent until the loss is noticeable by human newlineeye. The natural images lie in the later class. Most Internet newlineapplications use second class of images. This research newlinework dedicated to compression of both classes of images. newline1.2 Image newlineTwo classes of images can be distinguished analog and newlinedigital images. Both types fall into non-temporal newlinemultimedia type. Analog images are painted or created newlinethrough photographic process. During this process, the newline2 newlineimage is captured by a camera on a film that becomes a newlinenegative. We have a positive when the film is developed no newlineprocessing is possible from this moment. When the newlinephotography is made on a transparent medium then we are newlinedealing with a diapositive (slide). Analog images are newlinecharacterized by continuous, smooth transition of tones. newlineThis means that between each two different points at the newlinepicture there is an infinite number of tonal values. newlineIt is possible to transform an analog image into digital. The newlinedigitization process is usually caused by a need of digital newlineprocessing. The output of digitalization is a digital newlineapproximation of the input analog image; the analog image newlineis replaced by a set of pixels (points organized in rows and newlinecolumns) and every pixel has a fixed, discrete tone value. newlineTherefore, the image is not a continuous tone of colors. The newlineprecision and accuracy of this transformation depends on newlinethe size of a pixel the larger area of an analog image newlinetransf