Spectral entropy-activity classification in adaptive transform coding

A two-dimensional feature space for block classification which discriminates reliably between blocks that require very different processing is proposed. In combination with a block `activity´ measurement, the introduced `spectral entropy´ feature offers the possibility to stabilize the reconstruction quality of transform coding systems for each processed block on a high level. The classification is valid and useful for threshold-based and zonal coding schemes