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Joint compression and de-speckling of SAR images by thresholding and encoding the rational Laplacian pyramid (Contributo in atti di convegno)

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Joint compression and de-speckling of SAR images by thresholding and encoding the rational Laplacian pyramid (Contributo in atti di convegno) (literal)

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Bruno Aiazzi; Luciano Alparone; Stefano Baronti (2000)
Joint compression and de-speckling of SAR images by thresholding and encoding the rational Laplacian pyramid
in EUSAR 2000, 3rd European Conference on Synthetic Aperture Radar, Monaco di Baviera, Germania, 23-25 Maggio 2000
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http://md1.csa.com/partners/viewrecord.php?requester=gs&collection=TRD&recid=A0124086AH&q=Joint+Compression+and+De-Speckling+of+SAR+Images+by+Thresholding+and+Encoding+the+Rational+Laplacian+Pyramid&uid=788239500&setcookie=yes (literal)

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Proceedings of EUSAR 2000, 3rd European Conference on Synthetic Aperture Radar (literal)

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\"Nello Carrara\" Res. Inst. on Electromagnetic Waves IROE-CNR, via Panciatichi, 64, I-50127 Firenze, Italy Dept. on Electronics and Telecommunications, University of Florence, via S. Marta, 3, I-50139 Firenze, Italy \"Nello Carrara\" Res. Inst. on Electromagnetic Waves IROE-CNR, via Panciatichi, 64, I-50127 Firenze, Italy (literal)

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Joint compression and de-speckling of SAR images by thresholding and encoding the rational Laplacian pyramid (literal)

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Abstract

We propose an original approach to near-lossless compression, based on quantizing and encoding the Rational Laplacian Pyramid (RLP) of a SAR image. The RLP features the desirable property that the noise on its layers, except for the base-band, is practically independent of the signal. The RLP has mean roughly equal to one and variance proportional to that of the speckle, sigma(u)**2, on homogeneous areas, and larger elsewhere. The base-band icon is encoded, and the bottom layer of the RLP, diminished by its expected value, is uniformly quantized with a step size Delta = sigma(u). The steps on the other layers are arbitrary because of the quantization noise feedback loop at the encoder. Whenever larger compression ratios are desired, instead of increasing the Delta, a dead-zone can be introduced in the quantizer: pyramid coefficients lying below the threshold (half of the dead-zone) are set at zero; those above are quantized and encoded. The procedure is equivalent to a hard thresholding, a widely used technique for image de-noising in the wavelet domain. Experimental results show that extremely high-quality images are obtained at reasonable rates; as the compression is increased, images are progressively de-noised to be accommodated in the available rate. (literal)

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