HEVC Depth-Based Block Partitioning Filtering

The patent applies filtering selectively based on local characteristics of boundary pixels. Specifically, filtering is applied only to boundary pixels that have different values from their neighbors, while pixels with uniform values are excluded from filtering. This local differentiation resolves the contradiction by maintaining reliability where needed (at actual boundaries) while reducing complexity where unnecessary (in uniform regions).

The patent performs partial filtering rather than exhaustive filtering of all boundary pixels. By checking neighbor values and applying filtering only when differences are detected, the solution performs exactly the necessary filtering amount - no more, no less - thereby reducing overall complexity while maintaining necessary boundary quality.

The patent introduces local quality assessment through neighbor value comparison. Each boundary pixel is evaluated individually based on its local characteristics (whether it differs from neighbors), and filtering is applied selectively. This maintains operational simplicity through a uniform decision process while improving productivity by avoiding unnecessary computations on uniform regions.

The solution implements partial filtering action by processing only those boundary pixels that require it. The simple neighbor-comparison check enables this selective approach, maintaining ease of operation through a straightforward decision rule while significantly improving encoding/decoding efficiency by eliminating redundant filtering operations.

The patent extracts the essential filtering criterion from multiple possible conditions: a boundary pixel differs from its neighbor. This single extracted condition captures the fundamental case where filtering is needed, eliminating the need for complex multi-condition logic while maintaining filtering decision accuracy for the primary use case.

Instead of checking multiple conditions to determine when filtering should be applied, the patent inverts the approach by checking when filtering should NOT be applied (when neighbors are identical). This simplification reduces the number of conditions from multiple complex checks to a single simple equality check, reducing device complexity while preserving accuracy.