A Hash Based Image Classification Technic And Application On Fractal Image Compression

In this study, we aim to develop a fast algorithm for fractal image compression. The algorithm, which is fundamentally based on using of hash functions, tested with popular images and compared with other significant fractal image compression algorithms in terms of compression time, compression ratio and PSNR. This algorithm gives high quality results with high compression rates. Among current image compression methods like wavelet based methods, fractal image compression methods are known as slow and inadequate output quality, they remain as academic works, so they aren´t preferred for image compression, but this study proposed a high quality and fast alternative. Also, fractal methods improve perceptual quality of results of all other popular methods. The proposed method, which can also be used for color images and video compression, is examined in several aspects and discussed the performance results.