Image Data Hash Consistency via Format Normalization
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Solution Overview
Problem
Image data read or captured by devices often varies, leading to inconsistent hash values generated directly from this data, making it difficult to ensure equality between hash values generated from the same image data.
Innovation Solution
A data processing device that receives image data, converts it into a different format, and generates a hash value from the converted data, allowing for the assignment of electronic signatures and time stamps, which are then used to verify the existence and integrity of the image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hash value is directly generated from image data read by reading device or imaging device, then hash value generation is simple and fast, but hash values vary even when generated from the same image data due to reading/imaging variations
Solution Approach 1:
The patent applies preliminary action by performing data normalization processing on image data before generating hash values. The normalization section standardizes the image data in advance to eliminate variations caused by reading or imaging operations, ensuring that subsequent hash value generation produces consistent results. This preliminary processing step prevents the need for complex post-processing to correct hash value inconsistencies.
Solution Approach 2:
The patent introduces an intermediary normalization processing step between the image data input and hash value generation. This normalization section acts as a mediator that transforms the variable image data into a standardized form, allowing the hash function to operate on consistent input data. The intermediary processing ensures that the same original image data always produces the same hash value regardless of reading or imaging variations.
2Reliability
If image data is converted into different format before hash value generation, then hash value consistency is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies parameter changes by modifying the format and parameters of image data through normalization processing before hash value generation. The normalization section adjusts parameters such as resolution, color space, and data structure to create a standardized representation of the image data. These parameter changes ensure consistency in hash value generation while maintaining efficient processing by using deterministic transformation rules.
Data Source
AI summary
A data processing device includes an image data receiving section that receives image data, a data conversion section that converts the image data received by the image data receiving section into data having a format different from a format of the received image data, and a hash value generation section that generates a hash value of the data obtained by conversion of the data conversion section from the received image data.