Non-Square Convolution Filters for Balanced Pixel Weighting

The patent applies asymmetry by transitioning from square convolution filters to non-square convolution filters (such as rectangular filters with different height and width). This asymmetric design allows the filter to cover a different number of pixels in vertical and horizontal directions, thereby balancing the L1 norm distances from the central pixel across all covered pixels. The asymmetric filter shape enables equal weighting of pixels at the same Manhattan distance from the center, resolving the weighting imbalance issue while maintaining computational efficiency.

The patent employs asymmetric convolution filter structures (rectangular filters with unequal height and width) to balance the contributions of pixels at different positions. This asymmetric design ensures that all pixels covered by the filter have equal L1 norm distances from the central pixel, leading to balanced weighting and improved image feature capture effectiveness. The filter maintains structural simplicity while achieving better feature extraction through its non-square geometry.

The patent applies parameter changes by modifying the dimensional parameters of the convolution filter from equal dimensions (square) to unequal dimensions (rectangular). By changing the height and width parameters independently, the filter achieves balanced L1 norm distances for all covered pixels. This parameter adjustment approach maintains computational efficiency while achieving balanced pixel weighting, with the added benefit of enhanced image feature capture capabilities.