Fractal Image Compression and its Application in Image Processing
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Electronics & Communication Engineering | India | Volume 5 Issue 7, July 2016 | Popularity: 6.8 / 10


     

Fractal Image Compression and its Application in Image Processing

Gaurish Joshi


Abstract: Fractal Image Compression scheme has got great importance in last decade because of its application not only in image compression but also in many image processing fields. In this paper Fractal Image Compression scheme is utilized in the sharpening and smoothing of images by using varying affine parameters used in the affine transform. Fractal Image Compression scheme has not become as famous as JPEG because of its large encoding time and complexity present in the system. In this paper two methods RDPS and ERB have been proposed to improve the encoding time of FIC scheme. RDPS mainly focus on reducing the encoding time and ERB focus on increasing compression ratio along with slight improvement in encoding time. Therefore both methods are combined to form new method RDPS-ERB to obtain the best results. It has been shown that compression ratio increased to double that of existing work with very low loss in image quality.


Keywords: Fractal Image Compression, Affine parameter, MSE, SSIM, RDPS, ERB, Sharpening, Smoothing


Edition: Volume 5 Issue 7, July 2016


Pages: 1442 - 1448



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Gaurish Joshi, "Fractal Image Compression and its Application in Image Processing", International Journal of Science and Research (IJSR), Volume 5 Issue 7, July 2016, pp. 1442-1448, https://www.ijsr.net/getabstract.php?paperid=ART2016513, DOI: https://www.doi.org/10.21275/ART2016513

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