作者: Abir Jaafar Hussain , Dhiya Al-Jumeily , Naeem Radi , Paulo Lisboa
DOI: 10.1016/J.NEUCOM.2014.02.078
关键词: Hybrid neural network 、 Computer vision 、 Artificial intelligence 、 Context-adaptive binary arithmetic coding 、 Speech coding 、 Tunstall coding 、 Pattern recognition 、 Context-adaptive variable-length coding 、 Computer science 、 JPEG 2000 、 Data compression 、 Image compression
摘要: Abstract This paper considers a novel image compression technique called hybrid predictive wavelet coding. The new proposed combines the properties of coding and discrete In contrast to JPEG2000, data values are pre-processed using remove inter-pixel redundancy. error values, which difference between original predicted transformed. this case, nonlinear neural network predictor is utilised in system. simulation results indicated that can achieve good compressed images at high decomposition levels comparison JPEG2000.