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MDC image coding using Cascaded Correlating Transforms
Citation key 1096Knörig2007
Author Rüdiger Knörig and Thomas Sikora
Title of Book Electronic Imaging
Year 2007
Address San Jose, California USA
Month jan
Note invited paper
Organization IS&T / SPIE
Abstract This paper describes a joint source-channel coding framework combining cascaded correlating transforms as proposed by Goyal with an optimal estimation algorithm in the MSE sense. The cascaded correlating transform, an extension of the well-known pairwise correlating transform to transforms of higher order, can be seen as a detunable decorrelating transform. By reducing the transforms ability to decorrelate, a higher amount of source correlation ”survives” in the signal. This increased redundancy will be used for concealing channel errors. Since the detuning can be performed stepless an arbitrary amount of redundancy can be selected, allowing fine-tuned trade-offs between coding effciency and robustness to channel errors. This is an advantage over the classic approach by combining source- and channel coders since even shortened convolution coders offer only a discrete and therefore not stepless set of coding rates. Moreover, our approach affects only the transform and the inverse transform stages and will be transparent to other stages of the coding system (e.g. quantization or entropy coding).
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