Adaptive cosine transform coding using marginal analysis

Wei-Wei Lu; Michael Paul Gough

doi:10.1117/12.212002

16 June 1995 Adaptive cosine transform coding using marginal analysis

Wei-Wei Lu, Michael Paul Gough

Proceedings Volume 2488, Visual Information Processing IV; (1995) https://doi.org/10.1117/12.212002
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

An adaptive cosine tranform coding algorithm is proposed for data compression. The algorithm employs cosine transform and marginal analysis technique to convert data from time domain to frequency domain and achieve bit allocation for the quantization of the signal in its frequency domain. Compared with the conventional cosine transform coding which employs a logarithm approach to bit allocation, this algorithm yields lower mean squared quantization errors. The simulation result is presented here for waveform signal coding but, with a 2D cosine transform, the algorithm is applicable also to image signals.

Citation Download Citation

Wei-Wei Lu and Michael Paul Gough "Adaptive cosine transform coding using marginal analysis", Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); https://doi.org/10.1117/12.212002

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