Text and Image Compression for Tactical Communication
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Solution Overview
Problem
In tactical communication environments with poor channel states, conventional data compression methods fail to effectively reduce data loss due to bit sleep or burst errors, especially when transmitting text and image data, as they do not differentiate between valid and invalid data lines and lack robust error correction mechanisms.
Innovation Solution
A method and apparatus that group valid data lines with common elements, apply lossless compression to text data and loss compression to image data, and perform error correction codes on image data to enhance compression efficiency and error resilience, thereby reducing data loss and improving transmission success rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If conventional compression algorithms are used on all data lines, then compression ratio is improved, but data loss increases due to bit sleep or burst errors in tactical communication environments
Solution Approach 1:
The patent divides the image data into multiple line groups, where each line group contains several scan lines. By segmenting the data transmission into smaller units (line groups rather than individual lines), the system can apply error correction at the line group level, reducing the impact of bit sleep or burst errors on the entire image while maintaining compression efficiency.
2Loss of information
If lossless compression is applied to text data, then data integrity is improved, but compression efficiency deteriorates compared to loss compression
Solution Approach 1:
The patent applies different compression strategies to different data types: lossless compression (e.g., RLC, Huffman) is used for text data where information integrity is critical, while loss compression (e.g., JPEG) is used for image data where some information loss is acceptable. This local quality approach optimizes both information integrity and compression efficiency according to the specific requirements of each data type.
3Reliability
If error correction code is applied to compressed image data, then data transmission reliability is improved, but processing complexity increases
Solution Approach 1:
The patent performs error correction coding (ECC) on the compressed data of each line group before transmission. By applying ECC in advance to the already-compressed data, the system ensures that even if bit sleep or burst errors occur during transmission, the original image data can be accurately restored. This preliminary action approach balances reliability improvement with manageable processing complexity.
Data Source
AI summary
Provided is a method and apparatus for compressing a text and an image. When compressing the text and image, it is possible to group valid lines with data into each line having a common element, and compress and encode the data of the valid lines. Accordingly, it is possible to reduce a data loss that may occur in a tactical communication environment with a poor channel state due to a bit sleep or a burst error. In the case of the text, it is possible to perform lossless compression on only a valid line with data and thereby improve compression efficiency. In the case of the image, it is possible to perform loss compression on valid lines, and then restore the partially damaged data using an ECC even when data is partially damaged. Accordingly, it is possible to improve compression efficiency and the entire data transmission success rate.