Image Processing Encoding Selection for Monochrome Documents

The patent segments the image analysis process into multiple stages: initial ACS processing for quick identification, followed by histogram analysis and color difference level calculations for verification. This segmentation allows the system to quickly filter obvious cases while applying more rigorous analysis only when needed, resolving the contradiction between speed and accuracy.

The patent performs preliminary histogram analysis and color difference calculations on representative samples before final classification. By preparing reference data in advance and using it to guide the main processing, the system achieves both rapid processing and accurate identification of two-color documents.

The patent implements automatic encoding selection based on image characteristics (binary vs. multilevel). The system performs self-service by automatically determining the appropriate encoding method without requiring user intervention, thus providing adaptability while maintaining ease of operation. Users can override this automatic selection when needed.

The patent provides a dynamic interface where the encoding selection mode can switch between automatic and manual based on user needs. The system adapts its operation mode dynamically, offering full automation for routine tasks and manual control when users require specific encoding methods, thereby balancing adaptability and ease of operation.