Comparative Study of Wavelet Transform Based Fractal Image Compression

Heba Abedellatif, Abdelrahman korany abdelsattar selim, Taha E. Taha, R. El-Shanawany, Osama F. Zahran, Fathi E. Abd El‐Samie · Menoufia Journal of Electronic Engineering Research · 2019

Fractal image compression has been studying during the last years for compressing images by using their self-similarity. The main advantages of fractal compression are, achieves a higher compression ratio and preserves the image resolution, but it lacks expensive computational cost searching the domain pool. To overcome this limitation and keeping better image quality, we propose a combination of a discrete wavelet transform and fractal coding to implement an encoder based on a flexible domain pool constructed from the neighborhoods of each range block. A comparison between recent encoding algorithms and the proposed fractal image compression introduced.

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