Context selection and quantization for lossless image coding

Methods for context selection and quantization for lossless image coding are presented. Based on the quantized context, the encoder makes a DPCM prediction which is added to the most likely prediction error and arrives at an adaptive context based nonlinear prediction. The proposed context based, lossless image compression technique has been found out to produce improved results as compared with the usual compression technique used.