An Enhanced Technique for Fractal Image Compression Using Block Based Features (BBF)
DOI:
https://doi.org/10.51983/ajcst-2019.8.2.2134Keywords:
Fractal Image Compression, Range and Domain Blocks, Encoding and Decoding the Images, BTC - Wavelet and DCTAbstract
Image Compression is very active research area specializing on how to compression and decompression of images. The various methods have been proposed for fractal image compression techniques for storage and drawbacks. The complexity in process will affect performance of the existing system to make insufficient. In this paper, the proposed research work presented a block based feature compression of image in the generation of feature sets. The feature sets are generated based such as vertical, horizontal and are extracted from the image based on range and domain blocks. The extracted features are carried out with encoding and decoding the images. The experimental result shows that block based feature method provides better compression ratio and other parameters when compared with the existing methods such as BTC, Wavelet and DCT.
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