作者: Hossein Ajorloo , M.-T. Manzuri-Shalmani , Abolfazl Lakdashti
DOI: 10.1109/ISCIS.2007.4456843
关键词: Coding (social sciences) 、 Coding tree unit 、 Image restoration 、 Transmitter 、 Computer science 、 Data compression 、 Computer vision 、 Artificial intelligence 、 Decoding methods 、 Context-adaptive binary arithmetic coding 、 Sub-band coding
摘要: A matrix pseudo inversion based method is developed for coding of images in real field a way that at the receiver, one can restore lost portions images. The proposed solution similar to channel techniques, but it done before source transmitter and after decoding compressed data receiver. Experiments show effectiveness recovering missed video frames.