Digital Image Audio Embedding via D4 Lattice Quantization
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Solution Overview
Problem
Existing digital image processing methods fail to effectively embed and extract audio data within digital images without requiring special software or encryption keys, and may not ensure secure retrieval of hidden data.
Innovation Solution
A method and system that embeds audio data within digital images by transforming audio signals using Short-Term Fourier Transform, quantizing magnitude data, and mapping it to D4 Lattice codes, which are then integrated into the image's luminance data, allowing for secure and free extraction of the audio data without encryption or special keys.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio data is embedded within digital images using existing methods, then the hidden data can be stored in the image, but the data cannot be freely retrieved without special software or encryption keys
Solution Approach 1:
The embedded image itself contains all necessary information for audio data extraction. The lattice code structure and magnitude data are embedded in such a way that any user can extract the audio without needing special software or encryption keys, making the system self-service and universally accessible.
Solution Approach 2:
The patent uses lattice codes as an intermediary structure to embed audio magnitude data within image magnitude data. This intermediary representation allows the audio data to be hidden within the image while maintaining the ability to freely extract it using standard processing techniques.
2Reliability
If watermarking is used to protect digital media, then ownership rights can be enforced, but the watermarking may not be secret without encryption
Solution Approach 1:
The patent extracts only the magnitude data from the audio signal and embeds it within the image magnitude data, separating the essential audio information from the phase information. This extraction allows the audio data to be embedded in a form that can be protected and freely retrieved without requiring encryption, as the magnitude data itself contains the recoverable audio information.
3Quantity of substance
If audio data is embedded in the entire image, then maximum storage capacity is achieved, but distortion is introduced across the whole image
Solution Approach 1:
The patent applies different embedding strategies to different portions of the image. Masked portions of the image are used for embedding audio data with different characteristics compared to unmasked portions. This local differentiation allows optimization of both storage capacity and distortion management in different regions of the image.
Solution Approach 2:
The patent scales the lattice codes based on the local characteristics of the image data. By adjusting the scale parameter of the embedded lattice codes according to the surrounding image magnitudes, the system optimizes the balance between embedding capacity and visual distortion in different regions of the image.
Data Source
AI summary
A method and an apparatus to process a digital image is provided. The method may comprise receiving host image data, receiving audio data and embedding the audio data within the host image data to provide an embedded image wherein the audio data if freely recoverable from the embedded image. The method may comprise processing the audio data using a Short Term Fourier Transformation (STFT) prior to embedding the audio data within the host image data. The method may reduce an amount of digital data that represents an audio signal included in the audio data prior to embedding the audio data within the host image. In one embodiment, the method comprises quantizing magnitude data and discarding phase data of the audio signal to provide the audio data for embedding. The method may comprise quantizing the audio data to match a shell of a D4 Lattice.