Frame Region Data Comparison for Memory Access Reduction

The patent divides the frame data into multiple blocks and further segments each block into several sub-regions. Instead of comparing entire frames or large blocks, the system compares only specific sub-regions within blocks to determine similarity. This segmentation allows the system to identify similar regions even when frames contain noise or have small differences, as the comparison focuses on localized areas that are more likely to be identical or highly similar.

The patent applies different comparison strategies to different regions of the frame. By dividing frames into blocks and sub-regions, the system can perform detailed comparison on specific local areas while potentially using coarser comparison or skipping comparison for other regions. This local quality approach allows the system to maintain high reliability in similarity detection for critical regions while improving overall productivity by reducing unnecessary comparisons.

The patent segments frames into blocks and sub-regions to create a hierarchical comparison structure. This segmentation reduces processing complexity by allowing the system to work with smaller, more manageable data units. The multi-level segmentation enables the system to quickly identify and eliminate memory access operations for similar regions without requiring exhaustive comparison of entire frames, thus reducing power consumption while maintaining reasonable processing complexity.

The patent performs partial comparison by examining only specific sub-regions within blocks rather than comparing entire frames. This partial action approach reduces both processing complexity and power consumption by focusing computational resources only on the portions of the frame that require verification. The system can eliminate memory access operations for regions that are determined to be similar through this partial comparison, achieving energy efficiency without excessive processing.

The patent divides frame data into a hierarchy of blocks and sub-regions, enabling selective comparison of only the necessary portions of the frame. This segmentation allows the system to maintain image processing accuracy by comparing critical sub-regions while avoiding unnecessary memory accesses for entire frames. The segmented approach ensures that similarity determination is performed with sufficient detail to preserve image quality while reducing overall memory access frequency.

The patent implements partial comparison by examining only specific sub-regions within blocks rather than comparing all data values in entire frames. This partial action maintains manufacturing precision for the compared regions while significantly reducing memory access frequency. The system can confidently reuse data for regions where partial comparison confirms similarity, thereby reducing memory accesses without compromising the accuracy of image processing for the regions that are actually compared.