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In this paper, a combined Fractal and Wavelet (CFW) compression algorithm targeting gray scaled images is proposed. Initially, the image is compressed using wavelet transform. The smoothness of the low frequency part of the image appears as an approximation image with higher self similarities; therefore, it is coded using a fractal wavelet coding technique. However, the image is coded and psnr and mse, time for decompression is calculated. Its performance is compared by compression timing of image with wavelet and without wavelet with best performances of the available published algorithms. A data set containing different images is used to study the performance of the algorithm.
"A combined fractal and wavelet image compression approach", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 7, page no.7 - 11, June-2017, Available :http://www.ijrti.org/papers/IJRTI1707002.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator