Digital Image Recovery Feature Embedding via Quad-Tree Decomposition
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Solution Overview
Problem
Digital images, particularly in quality-sensitive applications like medical and satellite imaging, are vulnerable to tampering and duplication due to their ease of distribution, necessitating effective methods for authentication and verification.
Innovation Solution
A method is introduced that embeds a recovery feature into digital images using quad-tree decomposition and histogram shifting, allowing for the detection of tampered images and restoration of the original image by comparing embedded and extracted recovery features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If recovery feature is embedded into digital image using quad-tree decomposition and histogram shifting, then image authentication and integrity verification are enhanced, but device complexity and processing time increase
Solution Approach 1:
The patent applies segmentation by dividing the digital image into variable-sized blocks through quad-tree decomposition. This allows the recovery feature extraction and embedding process to operate on smaller, manageable segments rather than the entire image at once, reducing processing complexity while maintaining authentication reliability.
Solution Approach 2:
The patent employs histogram shifting as a parameter change technique to embed the recovery feature into the image. By modifying the histogram parameters of the image blocks and creating empty bins, the system can hide recovery information without significantly altering the visual quality, thus enhancing authentication capability while controlling processing complexity.
2Reliability
If recovery feature is embedded into digital image, then tampered regions can be detected and original images restored, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by embedding the recovery feature into the image before any potential tampering occurs. This pre-embedded feature serves as a reference that can be quickly compared against the current image state during authentication, enabling fast tamper detection without requiring complex real-time analysis.
Solution Approach 2:
The patent extracts the recovery feature from the image processing operations and treats it as a separate, standalone component. By isolating the recovery feature extraction and embedding as distinct steps, the system can efficiently process only the necessary features rather than analyzing the entire image, reducing processing time while maintaining restoration capability.
3Measurement precision
If quad-tree decomposition is used to extract recovery feature, then unique image characteristics are captured, but algorithm complexity increases
Solution Approach 1:
Quad-tree decomposition segments the image into variable-sized blocks based on content characteristics. This segmentation approach captures unique image features by adapting the block size to the actual content complexity, improving measurement precision while keeping the algorithm manageable through recursive, systematic division.
Solution Approach 2:
The quad-tree decomposition creates a dynamic block structure that adapts to the image content. Rather than using fixed-size blocks, the algorithm dynamically adjusts block sizes based on local image characteristics, achieving higher measurement precision for recovery feature extraction while maintaining algorithmic efficiency through adaptive rather than exhaustive processing.
Data Source
AI summary
Described embodiments provide an apparatus for providing a digital image by embedding recovery feature. The apparatus may include an input unit, an extraction unit, an embedding unit, and an output unit. The input unit may be configured to receive a digital image. The extraction unit may be configured to extract recovery feature from the received digital image using quad-tree decomposition. The recovery feature may be binary data that represents unique characteristics of the received digital image. The embedding unit may be configured to embed the extracted recovery feature into the received digital image. The output unit may be configured to output the digital image embedded with the recovery feature as a feature hidden image.