Image Compression Techniques for High Resolution Satellite Imageries using Classical Lifting Scheme

The properties of Wavelet Transform can be successfully applied for analysis and processing of non stationary signals e.g., speech and image processing, data compression and communications. Due to the growing number of applications in various areas, it is necessary to explore the hardware implementation options of the Discrete Wavelet Transform (DWT). The Wavelet Series is just a sampled versio...

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Comparison of SPIHT and Lifting Scheme Image Compression Techniques for Satellite Imageries

Wavelets offer an elegant technique for representing the levels of details present in an image. When an image is decomposed using wavelets, the low pass components carry more information than the high pass components. The possibility of better elimination of high pass components gives higher compression ratio for wavelet based techniques. To achieve higher

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Comparison of SPIHT and Lifting Scheme Image Compression Techniques for Satellite Imageries

Wavelets offer an elegant technique for representing the levels of details present in an image. When an image is decomposed using wavelets, the low pass components carry more information than the high pass components. The possibility of better elimination of high pass components gives higher compression ratio for wavelet based techniques. To achieve higher compression ratio, various coding sche...

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Fractal Image Compression of Satellite Imageries

Fractal image coding has the advantage of higher compression ratio, but is a lossy compression scheme. The encoding procedure consists of dividing the image into range blocks and domain blocks and then it takes a range block and matches it with the domain block. The image is encoded by partitioning the domain block and using Affine transformation to achieve fractal compression. The image is rec...

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Fractal Image Compression of Satellite Imageries

Fractal image coding has the advantage of higher compression ratio, but is a lossy compression scheme. The encoding procedure consists of dividing the image into range blocks and domain blocks and then it takes a range block and matches it with the domain block. The image is encoded by partitioning the domain block and using Affine transformation to achieve fractal compression. The image is rec...

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Image Compression Techniques for High Resolution Satellite Imageries using Classical Lifting Scheme

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