Comparative Study of Wavelet Transform Based Fractal Image Compression | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 26, Volume 28, ICEEM2019-Special Issue, 2019, Page 24-28 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2019.76677 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Heba Abedellatif1; Abdelrahman selim1; Taha E. Taha1; Ramadan El-Shanawany2; Osama F. Zahran1; Fathi E. Abd El-Samie1 | ||||
| 1Electronics and Electrical Communications Department Faculty of Electronic Engineering Menoufia University Menouf, Egypt | ||||
| 2Physics and Engineering Mathematics Department Faculty of Electronic Engineering Menoufia University Menouf, Egypt | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Fractal Image Compression; Discrete Wavelet Transform (DWT); Compression Ratio | ||||
| References | ||||
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