pawan vivekananda
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Image compression can improve the performance of the digital systems by reducing time and cost in image storage and transmission without significant reduction of the image quality. For image compression it is desirable that the selection of transform should reduce the size of resultant data set as compared to source data set. EZW is computationally very fast and among the best image compression algorithm known today. We proposes a technique for image compression which uses the Wavelet-based Image Coding in combination with Huffman encoder with a Lempel-Ziv-Welch (LZW) for further compression.A large number of experimental results are shown that this method saves a lot of bits in transmission, further enhances the compression performance. EZW has proven to be a very effective image compression method based on the mean-square error(MSE) distortion measure.
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EZW(Embedded Zerotree Wavelet)
EZW combined with Wavelet-based Image Coding , Huffman encoder & with Lempel-Ziv-Welch(LZW)
13年以上 前 | ダウンロード 2025 件 |
