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Abstract

A method for effective color modeling for predictive image encoding. Colors are processed on a binary basis, when each color index is treated as a binary value. Binary digits are processed sequentially with the use of context-based approach. The context is calculated as a unique combination of binary values of already processed digits, the position of the digit currently being processed and an additional identifier from a limited set of identifiers that describe differences between the predicted color index and the averaged color index being reconstructed during bitwise processing. Color mapping, table operations and a special rules for efficient difference identification are proposed as major enhancements of the method.

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