Adaptive Deblocking Filter Coefficient Selection for Image Coding

The patent implements dynamic filter coefficient selection by determining edge types (smooth, moderate, sharp) and selecting appropriate filter coefficients based on the determined edge type. This allows the deblocking filter to adapt its behavior to different block edge characteristics, improving picture quality while maintaining reasonable operational complexity through automated classification.

The patent changes the filter coefficient parameter based on the determined edge type. Different filter coefficients are selected for different edge types (e.g., stronger filtering for sharp edges, weaker filtering for smooth edges), allowing optimal picture quality reconstruction while adapting to the specific characteristics of each block edge.

The patent segments the block edges into different types (smooth, moderate, sharp) based on their characteristics. By classifying edges into distinct categories, the system can apply appropriate filter coefficients to each segment, improving coding efficiency through targeted filtering while keeping the overall device complexity manageable through systematic classification.

The patent modifies the filter coefficient parameter according to the determined edge type, enabling optimal filtering for each edge category. This parameter adaptation improves coding efficiency by reducing artifacts appropriately for each edge type without requiring excessively complex processing systems.

The patent applies different filter coefficients to different local regions (block edges) based on their specific characteristics. By determining the edge type for each block edge and applying locally optimized filter coefficients, the system achieves high picture quality through localized adaptation without requiring complete system redesign.

The patent changes filter coefficients based on locally determined edge types, allowing optimal picture quality reconstruction for each specific edge region. This localized parameter adaptation achieves high picture quality while keeping device complexity manageable through efficient local decision-making rather than global complexity.

The patent segments block edges into distinct types and applies appropriate filtering to each segment. This segmentation approach improves coding efficiency by enabling targeted processing of different edge characteristics while maintaining manageable device complexity through systematic classification and rule-based selection.

The patent adapts filter coefficients based on determined edge types, improving coding efficiency through parameter optimization. This adaptive parameter selection achieves better coding efficiency while keeping device complexity reasonable through automated classification and selection logic.