Wang, JNaghdy, G2020-02-122020-02-122000-10-19http://dx.doi.org/10.1089/107830200415199https://lib.digitalsquare.io/xmlui/handle/123456789/60221In this article three novel lossless image compression schemes hybrid predictive vector quantization lossless image coding HPVQ shape adaptive differential pulse code modulation DPCM SADPCM and shape VQ based hybrid ADPCM DCT ADPCMDCT are introduced All are based on the lossy coder VQ However VQ is used in these new schemes as a tool to improve the decorrelation efficiency of those traditional lossless predictive coders such as DPCM adaptive DPCM ADPCM and multiplicative autoregressive coding MAR A new kind of VQ shape VQ is also introduced in this article It provides predictive coders useful information regarding the shape characters of image block These enhance the performance of predictive coders in the context of lossless coding Simulation results of the proposed coders applied in lossless medical image compression are presented Some leading lossless techniques such as DPCM hierarchical interfold HINT CALIC and the standard lossless JPEG are included in the tests Promising results show that all these three methods are good candidates for lossless medical image compression