Image Compression Chunk Packing Metadata Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image compression techniques often require processors to store unrequested data lines, increasing complexity and area costs, as they typically use a single packing technique for the entire data stream, which may not be optimal for both tiled and linear access methods.
Innovation Solution
The system determines the type of packing for individual chunks of image data, generates metadata describing this packing, and adjusts the compression accordingly, enabling chunks to be read independently or in a tiled and linear manner, allowing for mid-stream changes between tile and untiled data compression schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tiled compression is used for image data, then compression efficiency is improved, but processor complexity and area cost increase due to the need to store unrequested lines in memory
Solution Approach 1:
The patent divides the image data into discrete chunks that can be independently compressed and transmitted. Each chunk is processed separately, allowing the receiver to decompress only the needed portions without requiring complex buffering mechanisms to store unrequested lines. This segmentation approach maintains compression efficiency while simplifying processor requirements.
2Device complexity
If a single packing technique is used for the entire data stream, then processing is simplified, but adaptability to different access methods (tiled vs linear) is reduced
Solution Approach 1:
The patent implements dynamic packing techniques where the compression method can be changed mid-stream based on the access requirements. The system can switch between tiled and linear packing approaches for different chunks of data, allowing the same processing pipeline to adapt to various access patterns without requiring complex hardware reconfiguration.
Solution Approach 2:
The patent changes the packing parameters dynamically by including metadata that describes the compression type used for each chunk. This allows the receiver to understand whether tiled or linear packing was applied and adjust its decompression accordingly, maintaining simplicity while achieving adaptability through parameter variation rather than structural complexity.
3Adaptability or versatility
If metadata describing packing type is generated for each chunk, then adaptability and independent reading capability are improved, but data overhead increases
Solution Approach 1:
The patent applies local quality by generating metadata only at the chunk level rather than throughout the entire data stream. Each chunk carries its own packing type information, allowing receivers to independently process only the metadata relevant to that specific chunk. This localized approach minimizes overall data overhead while maintaining the ability to read and process chunks independently.
Data Source
AI summary
Embodiments include methods for image compression and decompression. A sending computing device may determine a type of packing used for a chunk of image data, generate metadata describing the type of packing used for the chunk of image data, pack the chunk of image data according to the determined type of packing, and send the packed chunk of image data and the metadata to a second computing device. A receiving computing device may decode the metadata describing the type of packing used for the chunk of image data, determine the type of packing used for the chunk of image data based on the decoded metadata, and unpack the chunk of image data according to the determined type of packing used for the chunk of image data.