Compression Neural Network Padding and Trimming for Efficient Image Coding

The patent segments the single downscaling operation into multiple sequential downscaling operations (e.g., first downscaling by factor of 2, then second downscaling by factor of 2 again to achieve total 4x compression). Correspondingly, padding is applied at each intermediate stage rather than once at the beginning. This segmentation allows the system to maintain smaller padding areas at each stage compared to applying all padding upfront, thereby improving overall compression efficiency while achieving the same total compression ratio.

The patent applies padding operations preliminarily at each downscaling stage rather than all at once before compression. By performing partial padding operations at intermediate points during the multi-stage downscaling process, the system prepares just enough data for each subsequent operation without unnecessarily expanding the total padding area, thus optimizing compression efficiency.

The patent divides a single high-ratio downscaling operation into multiple lower-ratio sequential operations (e.g., splitting 4x downscaling into two 2x operations with intermediate padding). This segmentation reduces the padding area required at each stage while achieving the same overall compression, thereby improving compression efficiency without excessively increasing system complexity.

The patent implements periodic padding operations at regular intervals during the downscaling process. Instead of applying all padding at the beginning or using irregular padding schedules, the system applies padding periodically at each downscaling stage, creating a rhythmic pattern of compression and padding that optimizes efficiency while maintaining manageable operational complexity.