DE202023105410U1 - Image security improvement system - Google Patents

Abstract

A system (100) for improving image security, the system (100) comprising:
an image sensor (102) for capturing real-time data in a red-green-blue (RGB) format;
a processor (104) connected to the image sensor (102) for processing the captured RGB image by converting it to grayscale, expanding and dividing the captured RGB image into a plurality of non-overlapping blocks, the non-overlapping blocks being connected by separating the input image through a variety of secret keys;
an encryption unit (106) configured to scramble pixels of each of the plurality of connected non-overlapping blocks by permutation through a continuous orthogonal scan to generate a first chaotic map based on a first secret key from which a second chaotic map generates the permuted RGB image based on a second secret key to propagate the permuted image,
a logic gate based integrated circuit (IC) (106a) is configured to obtain a region of interest (ROI) for encrypting the image, shrinking the ROI to generate a cipher RGB image; And
a decryption unit (108) connected to the encryption unit (106) for performing data extraction and restoration of the original RGB image from the encrypted RGB image.

Description

FIELD OF THE INVENTION

The present invention relates to the field of digital image processing systems. In particular, the present invention relates to a system for improving image security based on encryption and ciphertext technology.

BACKGROUND OF THE INVENTION

Image encryption is a way to protect images that rearranges the pixels compared to the original image, making them unintelligent and unrecognizable. The earliest encryption methods were developed as today's encryption technology to increase the security of data. First, ciphers were cracked and new strong ciphers were developed to increase security. Security is one of the main considerations in protecting the privacy of data in cloud storage. Image protection is important because the image may be compromised during transmission or storage in the cloud. Image encryption or image watermarking is the appropriate method to protect images from hackers or illegal distribution. The extraction and encryption of each channel (Red, Green and Blue) are usually performed for color image encryption and combined for encrypted images. Decryption is the reverse process of encryption used to recover the original images from the encrypted photos.

Hiding data hides secret data in the cover image. Hiding data links two sets of data together, such as the cover image and embedded information. The hidden data is often irrelevant to the cover photo in secret communications. Embedded data is closely linked to the cover image during authentication. For these applications, the invisibility of hidden data is important. Many data hiding methods result in distortion due to the original image and data hiding is not reversed.

This is important for legal reasons in order to reverse the stego image into the original image in medical diagnosis.

• Die Verschlüsselungssysteme eignen sich zum Verschlüsseln kleiner Datensätze und weisen bei großen Datensätzen eine geringere Leistung auf. Bestehende Verschlüsselungsmethoden haben den Nachteil, dass sie bei großen Datensätzen weniger effizient sind. Die bestehende Bildsteganographie weist eine geringere Einbettungsrate auf, um das verborgene Bild in das Deckbild einzubetten, was die Rechenzeit des Modells erhöht. Um die Effizienz des Bildsteganographiemodells zu verbessern, ist eine hohe Einbettungszeit erforderlich. Bestehende Bildsteganographieverfahren weisen aufgrund des Verlusts der Bilddaten eine geringere Qualität der Wiederherstellungsbilder auf. Für die medizinische Anwendung ist eine höhere Qualität des wiederhergestellten Bildes erforderlich. Die größten Nachteile bei den meisten vorhandenen Methoden sind unzureichende Sicherheit, eine verminderte Komprimierungsleistung und eine geringfügige Rechenreduzierung im Vergleich zur Gesamtverschlüsselung. Außerdem mangelt es an Bitstrom-Compliance und die Größe des Verschlüsselungsschlüssels nimmt zu. Um den Rechenaufwand von Anlegergeräten in Echtzeitanwendungen zu reduzieren, ist eine der Techniken die selektive Verschlüsselung, bei der nur Teile der Daten verschlüsselt werden.

The main characteristics of reversible data hiding techniques are security, robustness, perceptibility, capacity and embedding. Image encryption is applied to increase the security of medical images and provide access to the sender and receiver using a secret key. Some of the biggest challenges in image encryption are as follows:

• The encryption systems are suitable for encrypting small data sets and have lower performance for large data sets. Existing encryption methods have the disadvantage that they are less efficient for large data sets. The existing image steganography has a lower embedding rate to embed the hidden image into the cover image, which increases the computing time of the model. To improve the efficiency of the image steganography model, high embedding time is required. Existing image steganography methods have lower quality of recovery images due to the loss of image data. For medical applications, a higher quality of the restored image is required. The main drawbacks with most existing methods are inadequate security, reduced compression performance, and a slight reduction in computation compared to overall encryption. Additionally, bitstream compliance is lacking and the size of the encryption key is increasing. To reduce the computational effort of investor devices in real-time applications, one of the techniques is selective encryption, in which only parts of the data are encrypted.

Therefore, to overcome the above limitations, there is a need to develop a novel and efficient image security improvement system based on self-adaptive chaos encryption technique to improve the strength of encryption.

The technical advances disclosed by the present invention overcome the limitations and disadvantages of existing and conventional systems.

SUMMARY OF THE INVENTION

The present invention relates generally to a system for improving image security.

An object of the present invention is to provide a system for improving image security.

Another object of the present invention is to design a multiple chaotic map-based image encryption scheme to improve image security.

Another object of the present invention is to develop a self-adaptive encryption scheme to make the encryption key dependent on the simple image.

Still another object of the present invention is to develop a color image encryption scheme that can provide high efficiency.

Another aim of the present invention is to implement selective image encryption that can provide high efficiency with reduced complexity.

Another aim of the present invention is to evaluate the encryption technique based on performance metrics such as histogram, correlation analysis, MSE, entropy, PSNR and differential analysis (NPCR, UACI).

• ein Bildsensor zur Erfassung von Echtzeitdaten im Rot-Grün-Blau-Format (RGB); Und
• einen mit dem Bildsensor verbundenen Prozessor zum Verarbeiten des erfassten RGB-Bilds durch Konvertieren in Graustufen, Erweitern und Teilen des erfassten RGB-Bilds in mehrere nicht überlappende Blöcke, wobei die nicht überlappenden Blöcke durch Trennen des Eingabebilds durch mehrere verbunden werden von geheimen Schlüsseln, wobei der Prozessor Folgendes umfasst:
  • eine Verschlüsselungseinheit, um Pixel von jedem der mehreren verbundenen, nicht überlappenden Blöcke zu verschlüsseln, indem sie eine Permutation durch einen kontinuierlichen orthogonalen Scan durchführt, um eine erste chaotische Karte basierend auf einem ersten geheimen Schlüssel zu erzeugen, wobei eine zweite chaotische Karte aus dem permutierten RGB-Bild generiert wird basierend auf einem zweiten geheimen Schlüssel zur Verbreitung des permutierten Bildes, wobei die Verschlüsselungseinheit Folgendes umfasst:
  • einen auf einem Logikgatter basierenden integrierten Schaltkreis (IC), der mit der Verschlüsselungseinheit verbunden ist, um eine bitweise XOR-Operation der ersten chaotischen Karte mit der zweiten chaotischen Karte durchzuführen, um einen interessierenden Bereich (ROI) zum Verschlüsseln des Bildes zu erhalten, wobei der ROI zur Generierung verkleinert wird ein Cipher-RGB-Bild; und
  • eine Entschlüsselungseinheit, die mit der Verschlüsselungseinheit verbunden ist, um Datenextraktion und Wiederherstellung des ursprünglichen RGB-Bilds aus dem Cipher-RGB-Bild durchzuführen.

In one embodiment, a system for improving image security, the system comprising:

• an image sensor to capture real-time data in red-green-blue (RGB) format; And
• a processor connected to the image sensor for processing the captured RGB image by converting it to grayscale, expanding and dividing the captured RGB image into multiple non-overlapping blocks, the non-overlapping blocks being connected by separating the input image by multiple of secret keys, where the processor includes:
  • an encryption unit to encrypt pixels of each of the plurality of connected non-overlapping blocks by performing permutation through a continuous orthogonal scan to generate a first chaotic map based on a first secret key, with a second chaotic map from the permuted RGB image is generated based on a second secret key for disseminating the permuted image, the encryption unit comprising:
  • a logic gate based integrated circuit (IC) connected to the encryption unit for bitwise XORing the first chaotic map with the second chaotic map to obtain a region of interest (ROI) for encrypting the image, wherein the ROI is scaled down to generate a cipher RGB image; and
  • a decryption unit connected to the encryption unit to perform data extraction and restoration of the original RGB image from the cipher RGB image.

In one embodiment, the processor processes higher two bits of the R, G, and B channels of each pixel to produce a new six-bit pixel, such that the R stream produces two lower bits, the G channel produces two intermediate bits and the B channel produces two upper bits to produce the processed image.

In one embodiment, the processor extracts the ROI from the partitioned plurality of non-overlapping blocks based on the bitwise XOR operation, the ROI being obtained by calculating a histogram value of each block, the non-overlapping blocks having a threshold histogram value of 60% black Color are eliminated to obtain the ROI for the permutation.

In one embodiment, the orthogonal scan pattern shape is constructed by changing the "SCAN" languages and merging them with alphabetic symbols, where a continuous raster scan sequence forms the scan language.

In one embodiment, the first chaotic map is a Chebyshev chaotic map and the second chaotic map is a Henon chaotic map, where the Henon chaotic map determines the pattern of encryption image blocks to generate random starting points for continuous raster scans to improve data protection . where the Chebyshev Chaotic Map creates a hidden matrix that depends on variables extracted from the input image by generating the secret keys.

In one embodiment, a database is connected to the image sensor and the processor to store the captured RGB image, the processed grayscale image, and the encrypted image.

In one embodiment, the processor performs an enlargement of the input image based on a Hilbert scan to shuffle the position of the pixels in the original input image and produce a scrambled image, wherein an exponential scan sequence performs the random scramble of the enlarged image positions.

In one embodiment, the encryption unit performs selective image encryption or partial image encryption based on a continuous diagonal scan-based image encryption technique from Arnold cat mapping and tent mapping, where the tent map creates secret keys to ensure sensitivity, and periodic orthogonal scanning successfully scrambles the pixels of an input image.

In one embodiment, the encryption unit generates independent random patterns based on a circular map and the secret keys.

In one embodiment, a display is connected to the processor via a communication unit to display the cipher image during encryption and the original image during decryption.

In order to further illustrate the advantages and features of the present invention, a more detailed description of the invention will be made with reference to specific embodiments thereof shown in the accompanying drawings. It is understood that these drawings represent only typical embodiments of the invention and are therefore not to be viewed as limiting its scope. The invention is described and explained in more detail and in greater detail with reference to the accompanying drawings.

BRIEF DESCRIPTION OF THE FIGURES

• 1 zeigt ein Blockdiagramm eines Systems zur Verbesserung der Bildsicherheit;
• 2 zeigt eine architektonische Darstellung eines Blockdiagramms mit mehreren chaotischen, kartenbasierten Verschlüsselungen;
• 3 zeigt ein Blockdiagramm des vorgeschlagenen Bildverschlüsselungssystems;
• 4 zeigt ein Blockdiagramm des Komprimierungsschemas für Farbbilder;
• 5 zeigt ein Blockdiagramm für die ROI-basierte Bildverschlüsselung.

These and other features, aspects and advantages of the present invention will be better understood when the following detailed description is read with reference to the accompanying drawings, in which like reference numerals represent like parts throughout the drawings, in which:

• 1 shows a block diagram of an image security improvement system;
• 2 shows an architectural representation of a block diagram with multiple chaotic card-based ciphers;
• 3 shows a block diagram of the proposed image encryption system;
• 4 shows a block diagram of the color image compression scheme;
• 5 shows a block diagram for ROI-based image encryption.

Additionally, experienced craftsmen will recognize that elements in the drawings are presented for convenience and may not necessarily have been drawn to scale. For example, the flowcharts illustrate the method through key steps that help improve understanding of aspects of the present disclosure. Additionally, in view of the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only the specific details relevant to understanding the embodiments of the present disclosure around the drawings not to be obscured by details that would be readily apparent to one of ordinary skill in the art who would benefit from the description herein.

DETAILED DESCRIPTION:

In order to promote understanding of the principles of the invention, reference will now be made to the embodiment shown in the drawings and specific language will be used to describe the same. It is to be understood, however, that this is not intended to limit the scope of the invention, since changes and further modifications to the system illustrated and further applications of the principles of the invention set forth therein are contemplated as would normally occur to one skilled in the art Technology to which the invention relates.

It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and illustrative of the invention and are not intended to limit the same.

References in this specification to “an aspect,” “another aspect,” or similar language mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention is included. Therefore, the phrases “in one embodiment,” “in another embodiment,” and similar phrases in this specification may, but not necessarily, refer to the same embodiment.

The terms “includes,” “comprising,” or other variations thereof are intended to cover non-exclusive inclusion, such that a process or method that includes a list of steps not only includes those steps, but may include other steps not specifically listed or following this inherent in the process or method. Likewise, one or more devices or subsystems or elements or structures or components preceded by “comprises...a” do not exclude, without further limitation, the existence of other devices or other subsystems or other elements or other structures other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as generally understood by one of ordinary skill in the art to which this invention pertains. The system, methods and examples provided herein are for illustrative purposes only and are not intended to be limiting.

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

• einen Bildsensor (102) zum Erfassen von Echtzeitdaten in einem Rot-Grün-Blau-Format (RGB); Und
• einen mit dem Bildsensor (102) verbundenen Prozessor (104) zum Verarbeiten des erfassten RGB-Bilds durch Konvertieren in Graustufen , Erweitern und Unterteilen des erfassten RGB-Bilds in eine Vielzahl nicht überlappender Blöcke, wobei die nicht überlappenden Blöcke durch Trennen verbunden werden das Eingabebild durch eine Vielzahl geheimer Schlüssel, wobei der Prozessor (104) Folgendes umfasst:
  • eine Verschlüsselungseinheit (106), um Pixel von jedem der mehreren verbundenen, nicht überlappenden Blöcke zu verschlüsseln, indem sie eine Permutation durch einen kontinuierlichen orthogonalen Scan durchführt, um eine erste chaotische Karte basierend auf einem ersten geheimen Schlüssel zu erzeugen, wobei daraus eine zweite chaotische Karte generiert wird permutiertes RGB-Bild basierend auf einem zweiten geheimen Schlüssel zur Verbreitung des permutierten Bildes, wobei die Verschlüsselungseinheit Folgendes umfasst:
    • eine auf Logikgattern basierende integrierte Schaltung (IC) (106a) zum Durchführen einer bitweisen XOR-Operation der ersten chaotischen Karte mit der zweiten chaotischen Karte, um eine Region of Interest (ROI) zum Verschlüsseln des Bildes zu erhalten, wobei die ROI verkleinert wird, um eine Chiffre zu erzeugen RGB-Bild; Und
  • eine Entschlüsselungseinheit (108), die mit der Verschlüsselungseinheit (106) verbunden ist, um eine Datenextraktion und Wiederherstellung des ursprünglichen RGB-Bilds aus dem Chiffrier-RGB-Bild durchzuführen.

1 shows a block diagram of a system (100) for improving image security, the system (100) comprising:

• an image sensor (102) for capturing real-time data in a red-green-blue (RGB) format; And
• a processor (104) connected to the image sensor (102) for processing the captured RGB image by converting it to grayscale, expanding and dividing the captured RGB image into a plurality of non-overlapping blocks, the non-overlapping blocks being connected by separating the input image by a plurality of secret keys, the processor (104) comprising:
  • an encryption unit (106) for encrypting pixels of each of the plurality of connected non-overlapping blocks by performing permutation through a continuous orthogonal scan to generate a first chaotic map based on a first secret key, thereby forming a second chaotic one Map is generated permuted RGB image based on a second secret key for disseminating the permuted image, the encryption unit comprising:
    • a logic gate-based integrated circuit (IC) (106a) for performing a bitwise XOR operation of the first chaotic map with the second chaotic map to obtain a region of interest (ROI) for encrypting the image, thereby reducing the ROI, to generate a cipher RGB image; And
  • a decryption unit (108) connected to the encryption unit (106) for performing data extraction and restoration of the original RGB image from the encrypted RGB image.

In one embodiment, the processor (104) processes two higher bits of the R, G and B channels of each pixel to produce a new six-bit pixel such that the R stream produces two lower bits of the G channel Intermediate bit two bits, and the B channel produces two upper bits to produce a processed image.

In one embodiment, the processor (104) extracts the ROI from the partitioned plurality of non-overlapping blocks based on the bitwise XOR operation, the ROI being obtained by calculating a histogram value of each block, the non-overlapping blocks having a threshold of the histogram value 60% black is eliminated to obtain the ROI for the permutation.

In one embodiment, the communication device is selected from Wi-Fi, Bluetooth, ZigBee and other such state-of-the-art devices.

In one embodiment, the orthogonal scan pattern shape is constructed by changing the "SCAN" languages and merging them with alphabetic symbols, where a continuous raster scan sequence forms the scan language.

In one embodiment, the first chaotic map is a Chebyshev chaotic map and the second chaotic map is a Henon chaotic map, where the Henon chaotic map determines the pattern of encryption image blocks to generate random starting points for continuous raster scans to improve data protection . where the Chebyshev Chaotic Map creates a hidden matrix that depends on variables extracted from the input image by generating the secret keys. The Henon Chaotic Map (HCM) is a dynamic structure with two volatile and unpredictable behaviors and a defined region of a complex model. Chebyshev's chaotic map is used for photo encryption.

In one embodiment, a database (110) is connected to the image sensor (102) and the processor (104) to store the captured RGB image, the processed grayscale image, and the encrypted image.

In one embodiment, the processor (104) performs an enlargement of the input image based on a Hilbert scan to shuffle the position of the pixels in the original input image and produce a scrambled image using an exponential scan sequence performs the random shuffling of the enlarged image positions.

In one embodiment, the encryption unit (106) performs selective image encryption or partial image encryption based on a continuous diagonal scan image encryption technique based on Arnold cat mapping and tent mapping, where the tent map contains secret keys to ensure sensitivity and of a periodic orthogonal. Successful scanning scrambles the pixels of an input image.

In one embodiment, the encryption unit (106) generates independent random patterns based on a circular map and the secret keys.

In one embodiment, a display (112) is connected to the processor (104) via a communication unit (114) to display the cipher image during encryption and the original image during decryption.

2 shows an architectural representation of a block diagram with multiple chaotic card-based ciphers.

The original input image with m*n pixels is recorded. To eliminate the transient effects, use the key as a variable and result of logistic maps and iterate logistic maps for m* n+r repetitions. The chaotic orbital is associated with high net worth individuals, and the blurry or simple image is permuted accordingly by the first secret key.

To encrypt the source image, the encryption unit uses a permutation and propagation process. The chaotic map is used for permutations while the Henon map is used for diffusion.

3 shows a block diagram of the proposed image encryption system.

The proposed system has three main units: bitwise XOR, continuous raster scan and non-overlapping block partitioning. By separating the input image under secret key management, non-overlapping blocks are linked. The image pixels from each non-overlapping block are randomly shuffled by continuous raster scanning. The Henon series of cards is used to determine the pattern of encryption image blocks. Henon Chaotic Map is used to create random starting points for continuous raster scans to improve privacy. The Chebyshev Chaotic Map is used to create a hidden matrix based on the variables extracted from the content of the source image. Performing the bitwise XOR operation between the randomized vector and the scrambling images produces the final encryption image. The color photos are selected as a test set to verify the proposed system. For such test photos, the proposed encryption techniques are applied and unstable images are recognized as encoded images. The proposed approach encrypts photos of different sizes, and the resulting images are noise-free and nonsensical, showing that the technology is successful.

In one embodiment, the proposed system is implemented in MATLAB R2015a, with 4 GB RAM, Intel Core i5 processor 3.4 GHz, 3570 CPU. To verify the proposed system, color and grayscale photos were selected as test images. The proposed cryptography technique is applied to all these test photos and disordered images are recognized as image encryption.

In one embodiment, the correlation coefficient is determined by randomly selecting multiple adjacent pixel pairs from the pixel correlation calculation in vertical, horizontal, or diagonal directions. The correlation coefficient is calculated in a range from -1 to 1. Whenever the correlation coefficient is large, the correlation between these two-pixel patterns is large. In a text image, the two neighboring groups of pixels usually have a significant connection. As a result, strong encryption techniques can destroy similarity scores. 1500 pairs of neighboring pixels are randomly selected in these three directions to investigate the usefulness of the provided technique for determining composite reliability.

In one embodiment, a new technique for encrypting color images is proposed using an expand-shrink operation for confusion and a diffusion operation in the chaos technique. The proposed technique consists of a confusion-diffusion strategy operating at the pixel level. The original color image is expanded based on the intrinsic characteristics of the bit planes. This technique achieved better performance in image encryption of various digital images.

In one embodiment, the Hilbert scan patterns scan 2mx2m array elements. The scan route is generated from the square base load on the top left, bottom left, top right and bottom left. This approach uses the Hilbert curve to shift the position of pixels in the original digital photos, creating a jumbled image. Order 0 in a Hilbert scan pattern means that the Hilbert curves are empty, while order -1 is achieved by connecting four curves of zero rank using three straighter connecting lines. Furthermore, the higher order arcs are created in the same way. The Hilbert curves of orders 1, 2, 3 and 4 correspond approximately to grid cells 22, 44, 88 and 1616.

4 shows a block diagram of the color image compression scheme.

• Das NN3-Pixel-RGB-Bild wird aufgenommen. Der Prozessor erweitert die Pixel im RGB-Bild. Die höheren zwei Bit des R-, G- und B-Kanals jedes Pixels werden während des Vergrößerungsvorgangs erpresst, um ein neues Pixel mit sechs Bits zu erzeugen. Der R-Stream erzeugt die unteren zwei Bits, der G-Kanal erzeugt die mittleren zwei Bits und der B-Kanal erzeugt die oberen beiden Bits. Anschließend wird unter Verwendung dieser Bildpixel ein neues Bild erstellt, das als Kanäle bezeichnet wird. Dadurch bleiben die verbleibenden sechs Bits des R-, G- und B-Kanals in jedem Bild konstant. Die Länge und Breite des ursprünglichen Bildes werden als N ausgedrückt, und R , G, B und Kanal werden verwendet, um maximal vier NN-Bilder mit sechs Bit für jedes Pixel zu erstellen. Die vier erfassten Bilder bilden eine erweiterte Permutationsmatrix. Darüber hinaus enthält der Kanal ca. 80 % einfache Bilddaten. Bei Verwendung der exponentiellen Scansequenz werden vergrößerte Bildpositionen zufällig durcheinander gebracht . Mithilfe der zirkulären Karte und der privaten Schlüssel wird ein unabhängiges Zufallsmuster erstellt. Zur Aktualisierung wird die Zufallsvariable X um 1014 erhöht. Um aktualisierte Zufallsdaten im Maßstab von null bis 255 zu erfassen, werden Modulus-256-Verfahren verwendet. Um das Zufallsbild R zu erhalten, wird ein zufällig generierter Vektor mit endlicher Genauigkeit erstellt und in Matrixnotation platziert. Der Logikgatter-IC wendet Bit XOR an, um das verwirrte Bild mit dem zufälligen Bild R zu kombinieren. Das resultierende Bild wird verkleinert, um den endgültigen RGB- Chiffretext zu erzeugen .

The tangled and circular landscape distribution operations are the main components. The main steps in the encryption process are as follows:

• The NN3 pixel RGB image is captured. The processor expands the pixels in the RGB image. The higher two bits of the R, G, and B channels of each pixel are extorted during the enlargement process to produce a new six-bit pixel. The R stream produces the lower two bits, the G channel produces the middle two bits, and the B channel produces the upper two bits. A new image, called channels, is then created using these image pixels. This keeps the remaining six bits of the R, G and B channels constant in each frame. The length and width of the original image are expressed as N, and R, G, B and channel are used to create a maximum of four NN images with six bits for each pixel. The four captured images form an expanded permutation matrix. In addition, the channel contains approximately 80% simple image data. When using the exponential scanning sequence, magnified image positions are randomly scrambled. An independent random pattern is created using the circular map and private keys. To update, the random variable X is increased by 1014. To acquire updated random data at scale from zero to 255, Modulus 256 methods are used. To obtain the random image R, a randomly generated vector with finite precision is created and placed in matrix notation. The logic gate IC applies bit XOR to combine the confused image with the random image R. The resulting image is resized to produce the final RGB ciphertext.

The color image encryption scheme uses an uncertainty expansion-shrinkage operation and a circular landscape dispersion operation. Based on basic properties of bit planes, the original color image is expanded. The expanded image is subjected to a cognitive dissonance process. The circular map is used here for the diffusion process. The proposed technique is suitable for real-time encryption and successfully increases the security of the system.

In one embodiment, Improved Chaos Encryption (ICE) is applied to improve security based on randomness. The average energy is calculated in the images and compared to the adaptive segmentation threshold of the Lorentz-96 model. In the chaos encryption technique, the security of the model is improved. The proposed ICE model evaluates the quality of the restored and decrypted image at the different embedding rates. The original coverage or region of interest (ROI) is lossy or lossless restored in Reversible Data Hiding (RDH), while the other images are lossy restored. The RDH is crucial for both clinical image analysis and other applications such as image conversion, audio-visual archive management, etc. To protect the information from people or hackers, an image encryption scheme is used to protect the image and the photos can be recovered depending on identification. To store medical photos in the cloud and protect patient privacy, image data should be encrypted. People's confidential material stored in the cloud is at risk of being accessed by attackers with malicious intent.

In an exemplary embodiment, diagnostic images created by diagnostic devices such as computed tomography (CT), magnetic resonance imaging (MRI), x-ray, and ultrasound are used as the cover image.

5 shows a block diagram for ROI-based image encryption

The proposed approach mainly consists of three steps: ROI component detection, bit plane shuffling and diffusion process.

ROI Detection: The original MxN medical image is converted into non-overlapping 16x16 Divided into blocks. The histogram of each 16x16 block is calculated. By setting the histogram threshold so that 60 percent of each 16x16 block is black, that block is called a RONI (Region of Not Interest) block, while the remaining blocks are called ROI blocks. Using a binary decomposition approach, the image to be encrypted is divided into numerous bit planes. The higher four bit planes are then mixed using four independent chaotic systems with different initial conditions. The bitplane encrypted image is then created by combining the changed bitplanes. The diffusion process is used to create a more secure encrypted image. A random image is created via the diffusion process, which is based on the chaotic system. The image encrypted with the ROI part is then obtained by performing a bitwise XOR operation on the bit-plane encrypted image and the random image.

In one embodiment, the chaotic map is used for permutations while the Henon map is used for diffusion. The continuous raster scan image cryptography approach is based on the Henon Chaotic Map and Chebyshev Chaotic Map for developing a self-adaptive encryption strategy to obtain the encryption key. The Chebyshev Chaotic Map is used to create material keys, and the continuous grid scan efficiently encrypts the cells of the image blocks to ensure the responsiveness of the recommended product. Encryption and decryption techniques are very easy and quick to use. The top four bit planes of the ROI section are shuffled and distributed to further minimize system difficulty. Due to a series of chaotic systems, the bit planes mix and then disintegrate. The continuous diagonal scan image encryption technique based on Arnold cat mapping and tent mapping in the execution of selective image encryption/partial image encryption, suitable for medical paper, is implemented. The Tent Card is used to create material keys to ensure the sensitivity of the proposed product. Periodic orthogonal scanning successfully scrambles the pixels of an input image. Furthermore, the encryption and decryption processes are simple and straightforward. Although certain cryptographic keys depend on image pixels, the responsiveness of the proposed technique to image capture has been improved in terms of the ability to prevent intrusion of input images. As a result, the proposed technology achieves high levels of safety and damage protection functions, as extensive tests show. In the field of photo encryption, this proposed technique has a wide range of applications. Due to its high level of security, it can be used in secure visual communication.

The drawings and the description above provide examples of embodiments. Those skilled in the art will recognize that one or more of the elements described can certainly be combined into a single functional element. Alternatively, certain elements can be divided into several functional elements. Elements of one embodiment may be added to another embodiment. For example, the orders of the processes described herein may be changed and are not limited to the manner described herein. Additionally, the actions of a flowchart do not have to be implemented in the order shown; Not all actions necessarily have to be carried out. Even those actions that are not dependent on other actions can be carried out in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples. Numerous variations, whether explicitly stated in the specification or not, such as: B. Differences in structure, dimensions and material use are possible. The scope of the embodiments is at least as broad as indicated by the following claims.

Advantages, other benefits, and solutions to problems have been described above with respect to specific embodiments. However, the advantages, advantages, solutions to problems and any components that may cause advantages, advantages or solutions to occur or become more pronounced are not to be regarded as critical, necessary or essential features or components of any or all of the claims.

CREDENTIALS

100

A system for improving image security, the system comprising

102

Image sensor

104

processor

106

Encryption unit

106a

Logic gate based integrated circuit

108

Decryption unit

110

Database

112

Advertisement

114

Communication unit

202

Original picture

204

permutation

206

diffusion

208

Encrypted image

210

Secret key 1

210a

Secret key 2

212

Chaotic map

214

Henon map

302

Original picture

304

Non-overlapping blocks

306

Continuous raster scan

308

Henon Chaotic Map

310

Chebyshev Chaotic Map

312

Bitwise XOR operation

314

Encrypted image

402

Enter an RGB image

404

Advanced operations

406

confusion

408

diffusion

410

shrinking process

412

Encrypt RGB image

414

Hilbert scan pattern

416

District map

418

Secret keys

Claims (6)

A system (100) for improving image security, the system (100) comprising: an image sensor (102) for capturing real-time data in a red-green-blue (RGB) format; a processor (104) connected to the image sensor (102) for processing the captured RGB image by converting it to grayscale, expanding and dividing the captured RGB image into a plurality of non-overlapping blocks, the non-overlapping blocks being connected by separating the input image through a variety of secret keys; an encryption unit (106) configured to scramble pixels of each of the plurality of connected non-overlapping blocks by permutation through a continuous orthogonal scan to generate a first chaotic map based on a first secret key from which a second chaotic map generates the permuted RGB image based on a second secret key to propagate the permuted image, a logic gate based integrated circuit (IC) (106a) is configured to obtain a region of interest (ROI) for encrypting the image, shrinking the ROI to generate a cipher RGB image; And a decryption unit (108) connected to the encryption unit (106) for performing data extraction and restoration of the original RGB image from the encrypted RGB image. System after Claim 1 , further comprising a database (110) connected to the image sensor (102) and the processor (104) for storing the captured RGB image, the processed grayscale image and the encrypted image. System after Claim 1 , further comprising a display (112) connected to the processor (104) via a communication unit (114) for displaying the cipher image during encryption and the original image during decryption. System after Claim 1 , wherein the processor (104) is configured to process two higher bits of the R, G and B channels of each pixel to produce a new six-bit pixel, such that the R stream produces two lower bits , the G channel produces two middle bits and the B channel produces two upper bits to produce the processed image. System after Claim 1 , where the orthogonal scan pattern form is constructed by changing “SCAN” languages and merging them with alphabetic symbols, with a continuous raster scan sequence forming the scanning language. System after Claim 1 , wherein the encryption unit (106) generates independent random patterns based on a circular map and the secret keys.

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