Research on lossless adaptive-distributed arithmetic coding and its applications
Zhang Cheng-liu
Abstract
Zhang Cheng-liu
Abstract
Currently,most of the DAC(distributed arithmetic coding) research methods focus on the lossy compression on the condition that the prior knowledge is known in advance.To realize adaptive and lossless compression,LADAC(lossless adaptive-distributed arithmetic coding) is proposed,which adopts the method of EOF(end of the file) and the adaptive encoding.Experimental result shows that LADAC processes the better compression performance and lower decoder complexity,and encoding and decoding can be done simultaneously in practice.Because of these merits of simple encoding and good compression performance,LADAC is combined with bit-plane coding to achieve hyper-spectral images compression,and experimental result shows that,compared with 3D-SPECK,this method can improve SNR by 0.13-0.37dB.
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Currently,most of the DAC(distributed arithmetic coding) research methods focus on the lossy compression on the condition that the prior knowledge is known in advance.To realize adaptive and lossless compression,LADAC(lossless adaptive-distributed arithmetic coding) is proposed,which adopts the method of EOF(end of the file) and the adaptive encoding.Experimental result shows that LADAC processes the better compression performance and lower decoder complexity,and encoding and decoding can be done simultaneously in practice.Because of these merits of simple encoding and good compression performance,LADAC is combined with bit-plane coding to achieve hyper-spectral images compression,and experimental result shows that,compared with 3D-SPECK,this method can improve SNR by 0.13-0.37dB.
Key concepts: Lossless compression, Lossy compression, Computer science, Adaptive coding, Arithmetic coding, Context-adaptive binary arithmetic coding, Decoding methods, Context-adaptive variable-length coding