A Novel Implementation of Wavelet Transform and Lzma for Compression and Decompression of Document Images
نویسندگان
چکیده
We compress the document image by the use of LZMA algorithm. It is stands for Lempel-Ziv-Markov chain algorithm. It is used for lossless compression. In pre-processing we remove the noise from the image. Then we apply the wavelet transform to the image. It will decompose the image. Here we quantize the image by the use of wavelet. It is more robust under transmission. For encoding process it will use the adaptive binary range coder. Finally we get the encoded value from the algorithm. After compression we apply the Decompression algorithm. The output of decompression will give to the Inverse wavelet transform. Finally it will produce the reconstructed image. We proposed the LZMA algorithm as a best performing one. Here we achieved compression ratios were improved between 5% to 15% in comparing with the plain best performing lossless compression algorithm (LZMA).
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