Image Data Transmission via Bit Significance Segmentation
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Solution Overview
Problem
Conventional image transmission methods apply the same error correction significance to all bits in image data, ignoring the varying significance of bits in pixels, which can lead to significant errors when higher bits are affected, while lower bits may show insignificant color differences.
Innovation Solution
Classifying each pixel's bits into upper and lower bits based on significance and transmitting them through separate packets, with error correction codes inserted in the more significant bits, ensuring secure and effective error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the same error correction significance is applied to all bits in image data, then the error correction process is simple and uniform, but significant errors occur when higher bits are affected while lower bits show insignificant color differences
Solution Approach 1:
The patent segments image data bits into two distinct groups: significant bits (upper bits) and non-significant bits (lower bits). This segmentation allows different error correction strategies to be applied to each group, with stronger error correction for significant bits and weaker or no error correction for non-significant bits, thereby improving transmission reliability without uniformly increasing complexity across all bits
Solution Approach 2:
The patent applies local quality by assigning different error correction significance levels to different bit positions within the image data. Specifically, upper bits (significant bits) receive enhanced error correction treatment while lower bits (non-significant bits) receive standard or reduced error correction, matching the local importance of each bit position to its corresponding error correction strength
2Reliability
If error correction codes are inserted only in significant bits, then transmission reliability is improved, but the device complexity increases due to separate processing paths
Solution Approach 1:
The patent segments the error correction process into two parallel paths: one path processes significant bits with inserted error correction codes, while the other path processes non-significant bits without additional error correction codes. This segmentation enables selective error correction that improves reliability for critical data while avoiding the complexity of applying uniform error correction to all bits
Solution Approach 2:
The patent applies partial action by inserting error correction codes only in the necessary portion of the data (significant bits) rather than in all bits. This partial application of error correction provides sufficient protection for the most important data while avoiding the excessive complexity that would result from applying error correction uniformly across the entire image data stream
Data Source
AI summary
Disclosed are an apparatus and method for transmitting/receiving image data. The method for transmitting image data includes classifying each pixel of image data into upper bits and lower bits, enabling the classified upper bits to be included in a payload of a Most Significant Bit (MSB) packet, and also enabling the classified lower bits to be included in a payload of a Least Significant Bit (LSB) packet, generating a header of the MSB packet and a header of the LSB packet, combining the payload and the header to respectively generate the MSB packet and the LSB packet, and transmitting the generated MSB packet and the LSB packet.