Rate Distortion Behavior of Threshold-Based Nonlinear Approximations
DCC '00 Proceedings of the Conference on Data Compression
Image denoising based on the edge-process model
Signal Processing
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Recent rate distortion analyses of image transform coders are based on a trade-off between the lossless coding of coefficient positions vs. the lossy coding of the coefficient values. We propose spike processes as a tool that allows a more fundamental trade-off, namely between lossy position coding and lossy value coding. We investigate the Hamming distortion case and give analytic results for single and multiple spikes. We then consider upper bounds for a single Gaussian spike with squared error distortion. The obtained results show a rate distortion behavior which switches from linear at low rates to exponential at high rates.