Joint source-channel coding for image transmission over noisy channels
Yingjun Su, Jianhua Lu, Jing Wang, Jun Hua Gu · 2002
In order to improve the error-resilient capability and transmission efficiency for image transmission over noisy channels, we contrive a joint source and channel coding (JSCC) scheme, in which adaptive segmentation and rate compatible punctured convolutional code (RCPC) are used. Specifically, adaptive segmentation segments an image into different sizes of blocks whilst determining different levels of source significance; RCPC code is then used to provide unequal error protection for individual blocks. Various simulations show that this scheme can support robust image transmission in a very effective way while yielding high visual quality.