Correlation-based inter and intra-band predictions for lossless compression of multispectral images

DANIEL ACEVEDO; ANA RUEDIN

Paraná

Conferencia; Reunión de Trabajo en Procesamiento de la Información y Control; 2011

Universidad Nacional de Entre Rios

We present a new lossless compressor for multispectral images having few bands. The mentioned compressor takes into account variations in spectral correlation in order to determine the appropriate spectral and spatial prediction to be performed. The algorithm exploits 2 different facts. On one hand, highly correlated bands may be efficiently compressed with fast computations. On the other hand, a class-conditioned wavelet-based compressor, which is more time-consuming, has given very high compression ratios, even in the case of lowly correlated bands. Our correlation- dependent hybrid algorithm yields high compression ratios, outperforming state-of-the-art lossless compressors, and has reasonable execetion times.