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Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501)
We investigate the application of local Principal Component Analysis (PCA) to transform coding for xed-rate image compression. Local PCA transform coding adapts to di erences in correlations between signal components by partitioning the signal space into regions and compressing signal vectors in each region with a separate local transform coder. Previous researchers optimize the signal space partition and transform coders independently and consequently underestimate the potential advantage ofdoi:10.1109/nnsp.2000.889422 fatcat:vwlxdqkmibg7xhnkwxff6f2a6q