Image Compression Bit Allocation by Region Sensitivity

The patent applies local quality by dividing the image into multiple regions and assigning different bit rates to each region based on its sensitivity attributes. Regions with high sensitivity to compression (such as areas with important features or high visual importance) receive more bits, while less sensitive regions receive fewer bits. This resolves the contradiction by maintaining low overall complexity through automated region-based differentiation while preventing data loss in critical areas through targeted bit allocation.

The patent applies preliminary action by pre-calculating sensitivity attributes for each image region before compression occurs. The system analyzes the image to identify regions with high sensitivity to compression artifacts (such as edges, textures, or important objects) and pre-determines the bit allocation for each region. This allows the compression process to proceed efficiently at high speed while ensuring that sensitive regions receive adequate bits, thus maintaining both processing speed and image quality precision.

The patent applies parameter changes by dynamically adjusting the bit rate parameter for each image region based on its sensitivity attributes. Instead of using a fixed uniform bit rate, the system modifies the bit rate parameter locally for each region, assigning higher rates to sensitive areas and lower rates to insensitive areas. This resolves the contradiction by reducing data loss in critical regions through targeted parameter adjustment while maintaining overall compression efficiency by using lower bit rates in non-critical regions, achieving an optimized balance between quality and compression ratio.