Keywords : Fractal Compression

Fractal Compression of Colored Animated Pictures

Basil Thanoon Younis; Abeer Abdul Khaliq Thanoon

AL-Rafidain Journal of Computer Sciences and Mathematics, 2012, Volume 9, Issue 2, Pages 27-41
DOI: 10.33899/csmj.2012.163717

This research deals with the question of pressing two series of video images by using the pressing Fractal through the use of iterative function systems, where the film frame video acquired is divided after  each converting it to one type of the storage formulas for the image files independently. Then, the image is divided into non-overlapping range blocks with the size P×P, the biggest block of which is the overlapping domain one with the size 2P×2P.
 After that matching is made between rang blocks and each block of domain blocks to obtain domain blocks identical to range blocks. The purpose of making matching is to obtain the best domain block identical to rang block by using familiar transfers, to reduce the  volume of storage with the possibility of decompression and making a comparison between the time of compression and decompression.
 The research sample includes two series of video films from the city of Mosul, namely, the Nineveh bridge and the building of college of Computer Science and Mathematics at the University of Mosul, It is found that algorithm used is efficient as far as compression and decompression of color and moving images are concerned.

Compression Image by Using Iterated Function Systems

Basil Y. Al-khayat; Mahasin Thabit Younis

AL-Rafidain Journal of Computer Sciences and Mathematics, 2012, Volume 9, Issue 1, Pages 117-133
DOI: 10.33899/csmj.2012.163691

This research was in the compression digital images using the iterative function and applied to grayscale images, color images and then re-pressed image decoding. Matlab language is used for programming the system, the proposed algorithms have been applied to a number of images and the results show the efficient and accurate of the proposed algorithms. The method of compressing using iterative function systems methods are from loss compressing methods the advantage of these method by high compressing rate and this was confirmed by the results obtained have been getting a good percentage of the compressing and the quality is good and clear.