Inter-Pixel Filter Switching in Picture Decoding Under Low Processing Load

The patent applies inter pixel filtering selectively rather than universally. The filtering operation is performed only on specific blocks (e.g., blocks with high prediction error or specific block types) rather than all blocks in the picture. This partial application reduces the overall processing load while maintaining picture quality in critical areas where filtering provides the most benefit.

Different filtering strengths or types are applied to different regions or blocks within the picture based on local characteristics. Blocks with high-frequency content or large prediction errors receive stronger filtering, while blocks with smooth content receive minimal or no filtering. This localized approach optimizes the balance between picture quality improvement and processing load reduction.

The system dynamically selects from multiple available filters based on picture characteristics, block type, and processing conditions. The filter selection is not static but adapts in real-time during encoding/decoding operations. This dynamic selection provides high adaptability while managing complexity through intelligent choice rather than simultaneous implementation of all filters.

The patent designs filters that can serve multiple functions or be applied in multiple contexts. A single filter structure can be configured with different parameters to handle various picture types and error conditions, reducing the need for completely separate filter implementations for different scenarios.

Inter pixel filtering is applied periodically or at specific intervals rather than continuously to all blocks. The filtering operation is triggered based on specific conditions (e.g., block type, prediction mode, error magnitude) rather than uniformly across the entire picture, reducing total processing time while maintaining quality where it matters most.

The patent extracts or identifies only the critical blocks that require filtering intervention. By analyzing block characteristics and selecting only those blocks that would benefit from filtering (e.g., blocks with high prediction error, specific macroblock types), the system avoids unnecessary filtering operations on blocks where filtering would not improve quality, thus reducing processing time.