Image Data Processing Apparatus Block-Based Watermark Embedding
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Solution Overview
Problem
Conventional methods for embedding and decoding digital watermarks in image data require complex calculations, such as Fast Fourier Transformation (FFT), which are resource-intensive and impractical for portable devices with limited memory and processing power.
Innovation Solution
An image data processing method that divides image data into blocks, extracts characteristic amounts, and embeds codes based on the magnitude relation between block pairs, eliminating the need for FFT calculations and reducing processing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital watermark embedding uses conventional FFT-based methods, then measurement precision and reliability are improved, but device complexity and processing requirements increase significantly
Solution Approach 1:
The image data is divided into multiple blocks, and each block is processed independently to extract characteristic amounts. This segmentation allows the system to avoid complex global FFT operations while maintaining decoding reliability through localized block-based processing.
Solution Approach 2:
The invention changes the parameter space by using characteristic amounts extracted from block pairs instead of frequency domain parameters from FFT. This parameter transformation simplifies the processing while preserving the ability to reliably decode embedded codes.
2Manufacturing precision
If FFT calculations are performed for digital watermark embedding, then embedding precision is improved, but processing time and energy consumption increase
Solution Approach 1:
The invention extracts only the necessary characteristic amounts from image blocks rather than performing complete FFT calculations. This extraction approach maintains embedding precision by focusing on relevant features while significantly reducing processing time and computational resources required.
3Reliability
If complex digital watermarking algorithms are used, then security and anti-falsification capabilities are improved, but ease of operation deteriorates due to resource constraints
Solution Approach 1:
The invention uses simple block-based processing that can be implemented with limited resources in portable devices. By replacing complex FFT-based algorithms with straightforward block characteristic extraction and comparison, the system achieves security functionality while being operable on resource-constrained devices with limited memory and processing power.
Data Source
AI summary
To reduce the processing required to embed a code into image data and decode the code. The present invention includes a block dividing section 101 that divides original image data 10 into a plurality of blocks (M×N); an averaging section 103 that extracts each average density (characteristic amount) in a plurality of blocks; and an encoding section 106 that embeds a code C (a plurality of bits) into a plurality of blocks by relating one code (one bit out of the code C) to each pair of blocks mutually located in near position in the plurality of blocks based on a magnitude relation of the average density.