![]() Fisher, Fractal Image Compression-Theory and Application ( Springer-Verlag, New York, 1995 ). Barnsley, Fractals Everywhere, 2nd edn. Hurd, Fractal Image Compression ( AK Peters, USA, 1993 ). For block matching motion estimation algorithms, the quad-tree data structure is frequently used in image coding to recursively decompose an image plane into four non-overlapping rectangular blocks.Īnd L. These direct techniques share the common pitfall of high computation complexity resulting from the dense vector fields produced. Pixel-based motion estimation algorithms address pixel correspondence directly by identifying a set of local features and computing a match between these features across the frames. For image sequence compression, the design of an accurate and efficient algorithm for computing motion to exploit the temporal redundancy has been one of the most active research areas in computer vision and image compression. Nevertheless, the encoding of the color images takes more time than the gray-scale images.Ĭolor images are usually compressed in a luminance-chrominance coordinate space, with the compression performed independently for each coordinate by applying the monochrome image processing techniques. The results obtained show that the fractal-based compression works for the color images works as well as for the gray-scale images. The most significant aspect of this work is the development of color images using fractal-based color image compression, since little work has been done previously in this area. ![]() Low bit rate color image sequence coding is very important for video transmission and storage applications. Fractal image compression is based on self-similarity, where one part of an image is similar to the other part of the same image. This paper describes the different techniques for data (image-video) compression in general and, in particular, the new compression technique called fractal image compression. With the rapid increase in the use of computers and the Internet, the demand for higher transmission and better storage is increasing as well.
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