Near-lossless compression yielding strictly bounded reconstruction error, is extended to preserved the radiometric resolution of data produced by coherent imaging systems. A noncausal DPCM, based on the Rational Laplacian Pyramid (RLP), recently introduced by the authors for despeckling, is adjusted to this purpose. The baseband icon of the RLP is DPCM encoded, the intermediate layers are uniformly quantized, and the bottom layer is logarithmically quantized. As a consequence, the relative error, i.e., pixel ratio of original to decoded image, can be strictly bounded by the quantization step size of the bottom layer of the RLP.
Near-lossless compression of coherent image data / Aiazzi, B; Baronti, S.; Alparone, L.. - STAMPA. - 3:(2001), pp. 490-493. (Intervento presentato al convegno IEEE International Conference on Image Processing (ICIP) tenutosi a Thessaloniki, GRC nel 7 - 10 October 2001).
Near-lossless compression of coherent image data
ALPARONE, LUCIANO
2001
Abstract
Near-lossless compression yielding strictly bounded reconstruction error, is extended to preserved the radiometric resolution of data produced by coherent imaging systems. A noncausal DPCM, based on the Rational Laplacian Pyramid (RLP), recently introduced by the authors for despeckling, is adjusted to this purpose. The baseband icon of the RLP is DPCM encoded, the intermediate layers are uniformly quantized, and the bottom layer is logarithmically quantized. As a consequence, the relative error, i.e., pixel ratio of original to decoded image, can be strictly bounded by the quantization step size of the bottom layer of the RLP.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.