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检索条件"任意字段=Conference on Image Compression and Encryption Technologies"

共 181 条记录，以下是91-100 订阅

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SecretPixel: Advanced Steganography with Seeded Random Embedding and AES-RSA encryption

SecretPixel: Advanced Steganography with Seeded Random Embed...

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2024 IEEE International conference on Intelligent Signal Processing and Effective Communication technologies, INSPECT 2024

作者： Barnwal, Aditya Sah, Aryman Rajkumar, S. Khera, Naman Umesh Srivastav, Rohan Sivasankar, Achyuthan Vellore Institure of Technology SCOPE Vellore India

ISBN: (纸本)9798350379525

This paper presents SecretPixel, a steganographic tool that integrates random embedding techniques and advanced encryption to securely hide data within images. SecretPixel ensures confidentiality and integrity of the embedded data using AES-2S6 and RSA-4096 encryption algorithms. The Pixel Scattered Embedding (PSE) method hides encrypted information across image pixels, using a seeded random generator, enhancing resistance against steganalysis detection. This combination of two-tiered encryption, efficient compression and embedding strategies makes SecretPixel an effective solution for data concealment in digital communication. © 2024 IEEE.

关键词： Embeddings

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A fractal-coding-like lossless binary image compressing method

A fractal-coding-like lossless binary image compressing meth...

引用

conference on image compression and encryption technologies

作者： Zhang, TX Tong, XF Zuo, Z Li, Y Huazhong Univ Sci & Technol State Key Lab Image Proc & Intelligent Control Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)0819442798

A new binary image lossless compressing method is proposed, which regards a binary image as being constructed of a limited number of fractal elements that have undergone a series of operations such as contraction/dilation, embedding and jointing. Therefore, coding compression for an image is mainly a process of acquiring its specific fractal structure. This algorithm defines 16 basic elements of size 2x2, which can be dilated to power of 2 or put together side by side when of the same type to make up a self-similar element set in different *** element set constitutes the codebook of fractal-like-coding. Prior to coding, it is necessary to carry out decorrelation operation of an image and then perform sliding matching on the image with the elements to find the best matching element that meets appropriate matching merit. Record the error subimage that may have formed owing to incomplete matching. Then carry out dynamic segment designates coding for the error image featuring a sparse matrix form. Finally perform arithmetic coding for the code characters sequence obtained. It has been demonstrated by testing images of different complexities that the new method is very efficient to encode binary images.

关键词： image compression fractal elements decorrelation fractal-like-coding dynamic segment designate coding hybrid coding

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An image coding algorithm using a new VQ distortion measure

An image coding algorithm using a new VQ distortion measure

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conference on image compression and encryption technologies

作者： Jiang, SD Wang, Q Sun, SH Harbin Inst Technol Dept Automat Test & Control Harbin 150001 Peoples R China

ISBN: (纸本)0819442798

As an efficient technique for data compression, vector quantization (VQ) has been successfully used for various applications involving VQ-based encoding and VQ-based recognition. The response time of encoding and recognition is a very important factor to be considered for real-time applications. The codeword search problem(i.e., the encoding problem) in VQ is to assign one codeword to the input vector in which the distortion between this codeword and the test vector is the smallest among all codewords. The encoding process is a computationally intensive procedure, This limits the applicability of VQ in practical considerations. Many fast algorithms using the squared Euclidean distortion measure have been proposed for reducing the computational complexity of the full search encoding. The threshold decomposition technique is an important technique for stack filter. By decomposing a vector into binary vectors based on the threshold decomposition technique of stack filter, a new distortion measure based on the decomposed binary vectors can be derived. This distortion measure needs no multiplication operations but some XOR operations and a counter. This distortion measure is suitable for VLSI implementation. Experiments were carried out to test the performance of the proposed encoding algorithm and the conventional full-search encoding algorithm using the squared Euclidean Distortion measure. From the experimental results, we see that the proposed algorithm is faster than the conventional full-search encoding algorithm. Especially, the encoding time will be much shorter than the conventional full-search encoding algorithm and the encoding structure will be much simpler if we use the hardware to encode the image. The PSNR of the proposed algorithm is only a little worse than that of the conventional algorithm and the new encoding algorithm is also faster than the conventional full-search encoding algorithm by software.

关键词： image processing image encoding image compression vector quantization distortion measure squared Euclidean distortion measure full search stack filter threshold decomposition hardware implementation

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Robust image Obfuscation for Privacy Protection in Web 2.0 Applications

Robust Image Obfuscation for Privacy Protection in Web 2.0 A...

引用

conference on Media Watermarking, Security, and Forensics

作者： Poller, Andreas Steinebach, Martin Liu, Huajian Fraunhofer Inst Secure Informat Technol Darmstadt Germany

ISBN: (纸本)9780819489500

We present two approaches to robust image obfuscation based on permutation of image regions and channel intensity modulation. The proposed concept of robust image obfuscation is a step towards end-to-end security in Web 2.0 applications. It helps to protect the privacy of the users against threats caused by internet bots and web applications that extract biometric and other features from images for data-linkage purposes. The approaches described in this paper consider that images uploaded to Web 2.0 applications pass several transformations, such as scaling and JPEG compression, until the receiver downloads them. In contrast to existing approaches, our focus is on usability, therefore the primary goal is not a maximum of security but an acceptable trade-off between security and resulting image quality.

关键词： image compression image quality image encryption Web 2.0 technologies Social networks Computer security Network security Biometrics image processing Modulation

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Enhancing image Security Using Data compression and Spread Spectrum Watermarking Technique 7

Enhancing Image Security Using Data Compression and Spread S...

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7th International conference on Communication Systems and Network technologies (CSNT)

作者： Saxena, Priyanka Shahane, Dipesh Rai, Sandeep Boghey, Rajesh Technocrats Inst Technol Excellence Comp Sci & Engn Bhopal India

ISBN: (纸本)9781538618608

To protect multimedia information system like audio, video, text and image, digital watermarking could be a legendary technique that hides or cover one type of information into a different or same type of information to fulfill the needs of copyright protection. Digital watermarking makes an attempt to handle the issues regarding the management of characteristics of multimedia system such as possession recognition, authentication and certifications. A lot of efforts have been made to guard the image information from unauthorized access however some of them seemed not too effective. During this research work, we have a tendency to project a picture information to enhance the information security in digital watermarking. We propose an image data protection technique using the combination of data security such as encryption technique and digital watermarking. The implementation of the projected technique is accomplished in MATLAB 2012a simulator and the outcomes are analyzed using performance parameter such as PSNR, MAE, etc.

关键词： Multimedia Digital Watermarking Spread Spectrum Technique PSNR MAE DFT

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Coding and transmission of subband coded images in the Internet

Coding and transmission of subband coded images in the Inter...

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conference on image compression and encryption technologies

作者： Wah, BW Su, X Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA

ISBN: (纸本)0819442798

Subband-coded images can be transmitted in the Internet using either the TCP or the UDP protocol. Delivery by TCP gives superior decoding quality but with very long delays when the network is unreliable, whereas delivery by UDP has negligible delays but with degraded quality when packets are lost. Although images are delivered currently over the Internet by TCP, we study in this paper the use of UDP to deliver multi-description reconstruction-based subband-coded images. First, in order to facilitate recovery from UDP packet losses, we propose a joint sender-receiver approach for designing optimized reconstruction-based subband transform (ORB-ST) in multi-description coding (MDC). Second, we carefully evaluate the delay-quality trade-offs between the TCP delivery of SDC images and the UDP and combined TCP/UDP delivery of MDC images. Experimental results show that our proposed ORB-ST performs well in real Internet tests, and UDP and combined TCP/UDP delivery of MDC images provide a range of attractive alternatives to TCP delivery.

关键词： single-description coding (SDC) multi-description coding (MDC) real-time multimedia in the Internet reconstruction-based subband image coding TCP UDP World-Wide Web

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A Robust Medical image Watermarking Approach Based on K-Level Clustering and Asymmetric encryption 1

A Robust Medical Image Watermarking Approach Based on K-Leve...

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1st International conference on Innovative and Intelligent Information technologies, IC3IT 2024

作者： Kahla, Mohammed Elhabib Beggas, Mounir Laouid, Abdelkader Bounceur, Ahcene Kara, Mostefa University of El Oued Liap Laboratory Computer Science Department El Oued Algeria University of Sharjah Information & Computer Science Department Sharjah United Arab Emirates Dhahran31261 Saudi Arabia

ISBN: (纸本)9798331541064

The increasing use of digital medical images in healthcare has raised significant concerns regarding their security, privacy, and integrity during transmission and storage. Unauthorized access, tampering, and image manipulation pose severe risks, potentially leading to compromised diagnoses and patient safety issues. This paper presents a novel asymmetric image encryption and watermarking scheme aimed at securing medical images. The proposed scheme integrates cryptographic encryption and digital watermarking to protect sensitive patient information and ensure the authenticity and integrity of medical images. Specifically, the scheme encrypts patient data using asymmetric encryption and embeds the encrypted data into the medical image as a QR code watermark. This watermark is securely embedded into the least significant bits of the image pixels using a clustering algorithm, ensuring resilience against common image distortions, such as noise, rotation, and compression. Experimental results demonstrate the robustness of the proposed scheme, as evidenced by high PSNR and SSIM values, indicating minimal impact on image quality while ensuring strong security. The proposed method offers an efficient solution for enhancing the security of medical images in healthcare systems. © 2024 IEEE.

关键词： Cryptographic Medical image Privacy-preserving Security Watermarking

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APPLIED SEQUENTIAL-SEARCH ALGORITHM FOR compression-encryption OF HIGH-RESOLUTION STRUCTURED LIGHT 3D DATA

APPLIED SEQUENTIAL-SEARCH ALGORITHM FOR COMPRESSION-ENCRYPTI...

引用

International conference on Interfaces and Human Computer Interaction / International conference on Game and Entertainment technologies / International conference on Computer Graphics, Visualization, Computer Vision and image Processing

作者： Siddeq, Mohammed M. Rodrigues, Marcos A. Sheffield Hallam Univ GMPR Geometr Modelling & Pattern Recognit Res Grp Sheffield S Yorkshire England

ISBN: (纸本)9789898533388

Anew image compression algorithm is proposed and demonstrated in the context of structured light 3D reconstruction. Structured light images contain patterns of light, which are captured by the sensor at very high resolution. The algorithm steps involvea two level Discrete Wavelet Transformation (DWT) followed by a Discrete Cosine Transformation (DCT) to generate a DC-Column andan MA-Matrix (Multi-Array Matrix). The MA-Matrix is then partitioned into blocks and a minimization algorithm codes each block followed by arithmetic coding. At decompression stage anewproposedalgorithm, Sequential-Search Algorithm (SS-Algorithm) is used to estimate the MA-Matrix. Thereafter, all decompressed DC-Columns arecombined withthe MA-Matrix followed by inverse DCT and inverse DWT. The effectiveness of the algorithm is demonstrated within a 3D reconstruction scenario from structured light images.

关键词： Discrete Wavelet Transform Discrete Cosine Transform Minimize Matrix Size Algorithm Sequential Search Algorithm Structured Light 3D reconstruction

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A novel multi-chaos based compressive sensing encryption technique

A novel multi-chaos based compressive sensing encryption tec...

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2019 International conference on Advances in the Emerging Computing technologies, AECT 2019

作者： Ahmad, Jawad Tahir, Ahsen Khan, Jan Sher Jameel, Atif Abbasi, Qammer H Buchanan, William Edinburgh Napier University School of Computing United Kingdom University of Engineering and Technology Department of Electrical Engineering Lahore Pakistan University of Gaziantep Department of Electrical Engineering Turkey Pakistan Institute of Engineering and Applied Science Department of Electrical Engineering Nilore Pakistan University of Glasgow School of Engineering United Kingdom

ISBN: (纸本)9781728144528

Compressive sensing is a compression technique that can be effectively utilised in multimedia encryption. This paper proposes a new compressive sensing image encryption scheme using the Secure Hash Algorithm (SHA-512), Discrete Cosine Transform (DCT), orthogonal matrix and discrete Chirikov map-based random permutation. DCT is applied on a plaintext image and a block of DCT coefficients is multiplied with an orthogonal matrix. Inverse DCT and scaling are performed to restrict the values between 0 and 255. Furthermore, values are shuffled using Chirikov-based pseudo-random permutation. A strong trade-off exists between DCT block size and computational efficiency. The quality and Signal to Noise Ratio (SNR) of the decrypted image decreases when the size of the DCT matrix is reduced, increasing the speed of the encryption algorithm. An extensive security analyses of the proposed scheme are performed, which establishes the robustness, computational efficiency and security of the technique against cryptographic attacks. © 2020 IEEE.

关键词： Signal to noise ratio

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Autosophy information theory provides lossless data and video compression based on the data content

Autosophy information theory provides lossless data and vide...

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conference on Digital compression technologies and Systems for Video Communications

作者： Holtz, K Holtz, E Holtz, D OMNI DIMENS NETWORKS SAN FRANCISCOCA 94109

ISBN: (纸本)0819423564

A new autosophy information theory provides an alternative to the classical Shannon information theory. Using the new theory in communication networks provides both a high degree of lossless compression and virtually unbreakable encryption codes for network security. The bandwidth in a conventional Shannon communication is determined only by the data volume and the hardware parameters, such as image size; resolution; or frame rates in television. The data content, or what is shown on the screen, is irrelevant. In contrast, the bandwidth in autosophy communication is determined only by data content, such as novelty and movement in television images. It is the data volume and hardware parameters that become irrelevant. Basically, the new communication methods use prior 'knowledge' of the data, stored in a library, to encode subsequent transmissions. The more 'knowledge' stored in the libraries, the higher the potential compression ratio. 'Information' is redefined as that which is not already known by the receiver. Everything already known is redundant and need not be re-transmitted. In a perfect communication each transmission code, called a 'tip,' creates a new 'engram' of knowledge in the library in which each tip transmission can represent any amount of data. Autosophy theories provide six separate learning modes, or omni dimensional networks, all of which can be used for data compression. The new information theory reveals the theoretical flaws of other data compression methods, including: the Huffman; Ziv Lempel; LZW codes and commercial compression codes such as V.42bis and MPEG-2.

关键词： Data communications Receivers Data compression Televisions Binary data image compression Information theory Computer programming image transmission Transmitters

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