Steganographic Algorithm for Digital Image Security
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image processing techniques are ineffective in compressing data with low redundancy, such as digital images, leading to inefficiencies in data storage and transmission, particularly in embedding secure data without causing perceptual distortions.
Innovation Solution
A novel steganographic algorithm that decomposes images into color layers, selects the best embeddable regions using complexity measures, and embeds secure data in the least significant bit planes while maintaining statistical structure, utilizing pseudo noise sequences for compression and encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional compression algorithms are used on digital images, then the compression process is simple, but the compression effectiveness is poor due to low redundancy in image data
Solution Approach 1:
The patent divides the image into multiple bit-planes (most significant bits and least significant bits), allowing different compression strategies for different segments. This segmentation enables effective compression of high-redundancy regions while preserving critical low-redundancy information, resolving the contradiction between compression effectiveness and processing complexity.
Solution Approach 2:
The patent applies different compression techniques to different regions of the image based on their redundancy characteristics. High-redundancy regions use aggressive compression while low-redundancy regions use minimal processing, optimizing overall compression effectiveness without uniformly increasing complexity across the entire image.
2Quantity of substance
If secure data is embedded in host images using conventional steganography, then embedding capacity is limited, but increasing capacity causes perceptual distortions
Solution Approach 1:
The patent changes the parameter of bit-plane selection dynamically based on the host image characteristics and embedding data requirements. By adapting which bit-planes are used for embedding and how they are modified, the system achieves higher embedding capacity while maintaining image quality, resolving the contradiction between quantity of embedded data and image precision.
3Productivity
If data is compressed to reduce storage space and transmission time, then efficiency improves, but security is compromised due to loss of statistical structure
Solution Approach 1:
The patent performs preliminary statistical analysis of the host image to identify optimal embedding locations and parameters before actually embedding the secure data. This preliminary action allows the system to compress and embed in a way that preserves statistical structure, achieving both efficiency and security.
Solution Approach 2:
The patent uses feedback from statistical structure analysis to guide the compression and embedding process. By continuously monitoring and adjusting based on statistical characteristics, the system maintains security while achieving compression efficiency, resolving the contradiction between productivity and reliability.
Data Source
AI summary
Methods and systems for securing digital imagery are provided. In one respect, embedding, compression, encryption, data hiding, and other imaging processing techniques and systems may be provided for digital image security. In one non-limiting example, a method for producing a compressed and encrypted image is provided. An image may be converted into a binary bit stream, and the bit stream may be decomposed into a plurality of segments. A binary sequence based on a first key may be generated and may be used to generate a code matrix. A distance between the code matrix and the distance may be determined for each of the plurality of segments. Using a combined first and second key, a compressed and encrypted image may be obtained.