Image Encryption Compression via Convolution and Bayesian Restoration

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Solution Overview

Problem

Existing methods fail to effectively remove high-frequency regions from digital images during encryption while maintaining lossless compression and real-time transmission, resulting in artifacts and reduced image quality upon restoration.

Innovation Solution

A cryptographic-communication image compressing/expanding method that convolves digital images with an encryption key to remove high-frequency components, applies entropy-coding compression, and uses Bayse probabilistic restoration to securely transmit and restore images without quantization noise, allowing for real-time processing and high security.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If irreversible compression technology (MPEG4, JPEG) is used to reduce traffic load, then compression ratio is improved, but image quality is reduced

Engineering Contradiction:

Improvedata amountVSAvoidimage quality

Core Design Contradiction:

Quantity of substanceVSManufacturing precision

Solution Approach 1:

The patent segments the image into frequency components using Fourier transform, processing different frequency regions separately. High-frequency components are compressed more aggressively while low-frequency components are preserved, enabling lossless compression with maintained image quality.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent changes the parameter of compression from uniform to non-uniform across different frequency regions. By adjusting compression strength based on frequency content and applying adaptive quantization, it achieves high compression ratio while preserving image quality through intelligent parameter modulation.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If encryption is applied to digital images, then security is improved, but processing time increases

Engineering Contradiction:

ImprovesecurityVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent merges encryption operations with compression operations into a single integrated process. The encryption key is embedded in the frequency-domain transformation, combining security functionality with the existing compression pipeline, thereby achieving both security and speed without additional processing time penalty.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The frequency-domain transformation serves multiple functions simultaneously: it performs image compression, encryption, and decryption operations. This multi-functional approach eliminates the need for separate encryption/decryption processing steps, reducing overall processing time while maintaining security.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Quantity of substance

If high-frequency components are removed from images, then compression ratio is improved, but image quality is reduced

Engineering Contradiction:

Improvedata amountVSAvoidimage quality

Core Design Contradiction:

Quantity of substanceVSManufacturing precision

Solution Approach 1:

The patent applies different compression strategies to different frequency regions. Low-frequency components retain higher quality with minimal compression, while high-frequency components undergo stronger compression. This local differentiation allows high overall compression ratio while preserving critical image quality in low-frequency regions.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent performs frequency-domain transformation and encryption operations before compression quantization. By preparing the image data in the frequency domain with embedded encryption keys, the system achieves both compression and security while maintaining quality through preliminary processing that guides subsequent lossless compression.

Inventive Principle:

Principle #10Preliminary action

4Reliability

If conventional encryption methods are used, then security is improved, but traffic load is not reduced

Engineering Contradiction:

ImprovesecurityVSAvoidtraffic load

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent combines encryption and compression into a single integrated operation. The encryption key is embedded during the frequency-domain transformation, and the encrypted data is compressed simultaneously. This merging achieves both security and traffic reduction, as the encrypted image undergoes lossless compression that reduces data size without compromising encryption strength.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS9883215B2Method and device for compressing and expanding image intended for encrypted communication, program, and storage medium

Publication Date: 2018.01.30 LIGHTRON INT

AI summary

An object of the present invention is to provide a method, a device, programs, and storage media for solving a problem that it is impossible to losslessly compress a digital image while being encrypted, to transmit the digital image, and to expand the digital image at a receiving side to restore the digital image with no artifact. An image or video is subjected to discrete convolution with an encryption key image, to be defocused beyond recognition, thus being encrypted, is further subjected to entropy-coding lossless compression, and is transmitted over the Internet. The compressed image or video is expanded at a receiving side, and iterative operations are performed on the basis of a Bayse probabilistic formula by using the separately-delivered encryption key image, to restore the image or video before encryption.