Image Transmission Method Tile Precinct Segmentation
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Solution Overview
Problem
Existing image transmission methods, such as JPIP systems using tile and precinct units, face inefficiencies in transmission efficiency and increased complexity on the client side, leading to higher construction costs and compatibility issues.
Innovation Solution
An image transmission method that performs filter processes on divided image areas, generates coefficient data, and independently encodes each level to reconstruct small image areas for efficient transmission, reducing client-side complexity and improving interaction capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If JPEG 2000 encoding with tile unit (JPT-stream method) is used, then ease of implementation is improved, but transmission efficiency deteriorates
Solution Approach 1:
The patent divides the image into multiple tiles, where each tile is independently encoded and transmitted. This segmentation allows the server to send only the requested tile data to the client, improving transmission efficiency by avoiding unnecessary data transfer while maintaining the simplicity of JPEG 2000 encoding standards.
2Productivity
If JPEG 2000 encoding with precinct unit (JPP-stream method) is used, then transmission efficiency is improved, but device complexity deteriorates
Solution Approach 1:
The patent further divides each tile into multiple precincts, allowing fine-grained control over transmitted image regions. This enables the server to send only the specific precincts within a requested view window, achieving high transmission efficiency while the client reconstructs the image by assembling received precincts according to tile boundaries.
3Productivity
If fine-grained transmission control is implemented, then transmission efficiency is improved, but client-side complexity deteriorates
Solution Approach 1:
Instead of having the client perform complex operations to assemble fine-grained precinct data, the patent inverts the approach by having the server perform the assembly work. The server assembles precincts into complete tile structures before transmission, so the client only needs to decode and display the tiles, significantly reducing client-side complexity while maintaining transmission efficiency.
Data Source
AI summary
An image transmission method comprises the steps of: receiving a request including request information having size information concerning an image and/or area information concerning the image; reconstructing small image areas by taking out code words constituting the small image areas based on the request information, the code words being independent of one another; and transmitting a response including the small image area to a requester in each small image area reconstructed in the step of reconstructing small image areas.