Enhancing analog image transmission systems using digital side information: a new wavelet-based image coding paradigm
We address digital transmission for enhancing, in a backward compatible way, the quality of analog image transmission systems. We propose a practical algorithm that treats the problem as one of wavelet image compression with side information (available in the form of a noisy analog version of the image) present at the decoder. We propose a rate allocation technique to efficiently allocate the rate among the wavelet coefficients of the image. In typical instances of the problem, we get gain up to 2.5 dB over conventional methods that ignore the side information. Surprisingly, this is typically achieved by modifying a very small fraction of the wavelet coefficients (typically around 10-20%) of the conventional source coder. Extensions of our proposed image transmission framework to that of video transmission finds application in the upgrade of current analog television broadcast systems to digital TV.