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Complexity Reduction in DAT-Based image Processing

Complexity Reduction in DAT-Based Image Processing

International Scientific and Technical conference on Integrated Computer Technologies in Mechanical Engineering - Synergetic Engineering (ICTM)

作者： Makarichev, Viktor Lukin, Vladimir Brysina, Iryna Natl Aerosp Univ KhAI Chkalov St 17 UA-61070 Kharkiv Ukraine

ISBN: (纸本)9783031614149;9783031614156

The atomic functions-based image processing system (AFIPS) is based on discrete atomic transform (DAT). It provides a combination of image encryption and compression features with a machine learning-oriented data format. Taking into account the current data processing and analysis trends, applying AFIPS is promising. In this paper, a problem of its complexity reduction is considered. The new coding scheme, which ensures a significant decrease in the number of arithmetic operations, is proposed, and its efficiency exploration is given in terms of different indicators. In particular, it is shown that the proposed modification of AFIPS provides a higher compression ratio and, hence, greater memory savings when applying this algorithm with three modes of the DAT procedure: classic, block-splitting, and chroma-subsampling. Also, the suggested improvement reduces the time complexity that is illustrated by processing a satellite image dataset. In addition, the practical aspects of the further applications, including UAV image processing and analysis, are discussed.

关键词： Discrete Atomic Transform Lossy image compression data coding image encryption

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Authentication and access control in the JPEG 2000 compressed domain

Authentication and access control in the JPEG 2000 compresse...

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conference on applications of Digital image Processing XXIV

作者： Grosbois, R Gerbelot, P Ebrahimi, T Swiss Fed Inst Technol Signal Proc Lab CH-1015 Lausanne Switzerland

ISBN: (纸本)0819441864

Transmission and exchange of digital images with friends and customers is become a very simple task thanks to the development of the communication networks and the tools built around them. Unfortunately, such operations become delicate whenever image security is required, typically for commercial applications or protection of proprietary data. Solutions associated to data encryption already exist but are usually complex and do not take into account the specificities of images, generally under a compressed form. The Joint Photographic Experts group has recently created a new still image coding standard called JPEG 2000. It presents an efficient compression scheme together with support of functionalities required by today and tomorrow applications (progressive decoding, region of interest...). xBy considering the JPEG 2000 algorithm, we are presenting tools for image authentication or access control (on image resolutions and qualities). These techniques can be applied on JPEG 2000 codestreams or directly integrated into the coding/decoding operations, and are mainly based on modification and insertion of information in the bit stream. The resulting codestreams remain compliant with the standard. Moreover, they allow image side information retrieval and/or prevent use by unauthorized parties.

关键词： JPEG 2000 image authentication access control compressed domain wavelet domain encryption digital signature

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Bit plane encoding and encryption

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2nd International conference on Pattern Recognition and Machine Intelligence

作者： Yekkala, Anil Madhavan, C. E. Veni Philips Elect India Ltd Bangalore Karnataka India Indian Inst Sci Bangalore Karnataka India

ISBN: (纸本)9783540770459

The rapid growth in multimedia based Internet systems and applications like video telephony, video on demand and also tele-medicine has created a great need for multimedia security. One of the important requirements for multimedia security is encryption. Owing to the size of multimedia data and real time requirements, lightweight encryption schemes are important. Lightweight encryption schemes are based on taking the structure of multimedia data into consideration and partially encrypting the content. Even though several lightweight encryption schemes are existing for lossy compression schemes, their do not exist any lightweight encryption scheme for lossless compression. In this paper we present a lossless compression scheme for image, and we show how this scheme can be also used for supporting scalable lightweight encryption.

关键词： image coding

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compression of encrypted three-dimensional objects using digital holography

Compression of encrypted three-dimensional objects using dig...

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Opto-Ireland 2005 conference

作者： Naughton, TJ Javidi, B Natl Univ Ireland Maynooth Dept Comp Sci Maynooth Kildare Ireland

ISBN: (纸本)0819458120

We present the results of applying data compression techniques to encrypted three-dimensional objects. The objects are captured using phase-shift digital holography and encrypted using a random phase mask in the Fresnel domain. Lossy quantisation is combined with lossless coding techniques to quantify compression rates. Lossless compression alone applied to the encrypted holographic data achieves compression rates lower than 1.05. When combined with quantisation and an integer encoding scheme, this rises to between 12 and 65 (depending on the hologram chosen and the method of measuring compression rate) with good decryption and reconstruction quality. Our techniques are suitable for a range of secure three-dimensional object storage and transmission applications.

关键词： digital holography image compression optical encryption three-dimensional image processing

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Grayscale image compression and encryption Based on Format Conversion

Grayscale Image Compression and Encryption Based on Format C...

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2nd International conference on Information Technology and Management Innovation (ICITMI 2013)

作者： Wang, Fangchao Bai, Sen Zhao, Bo He, Nan Zhenjiang Watercraft Coll Dept Commun Zhenjiang 212000 Peoples R China Chongqing Commun Inst Image Commun Lab Chongqing 404100 Peoples R China Zhenjiang Watercraft Coll Observat Dept Zhenjiang 212000 Peoples R China

ISBN: (纸本)9783037858646

In this paper, we describe a novel encryption algorithm, which converts a greyscale image into a colored JPEG image. Firstly, it creates MCU (Minimum coding Unit) of the colored JPEG image from the DU (data Unit) of the greyscale image by the 8 x 8 construction matrix randomly. Secondly, it shuffles all the DUs with quantized DCT (Discrete Cosine Transform) coefficients according to a random ergodic matrix. Lastly, it rearranges the DUs as the format of the colored JPEG image and proceeds with the normal compression and encoding. The results show that the encryption speed of the algorithm is fast enough for real-time transmission and the encrypted image has almost the same size as original image after direct compression.

关键词： Chaotic map Construction matrix Ergodic matrix MCU DU

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Proceedings - DCC 2022: 2022 data compression conference

Proceedings - DCC 2022: 2022 Data Compression Conference

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2022 data compression conference, DCC 2022

ISBN: (纸本)9781665478939

The proceedings contain 86 papers. The topics discussed include: synergies between in-loop and out-of-loop mapping for HDR-PQ content;beyond keypoint coding: temporal evolution inference with compact feature representation for talking face video compression;improved deep image compression with joint optimization of cross channel context model and generalized loop filter;a smart reference picture resampling approach for VVC;computing matching statistics on repetitive texts;compact representation of interval graphs of bounded degree and chromatic number;privacy-assured and multi-prior recovered compressed sensing for image compression-encryption applications;compressing cipher images by using semi-tensor product compressed sensing and pre-mapping;an edge aware motion modeling technique leveraging on the discrete cosine basis oriented motion model and frame super resolution;stochastic model of block segmentation based on improper quadtree and optimal code under the bayes criterion;and entropy modeling via gaussian process regression for learned image compression.

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Multi-Level Secured encryption Technique Using Enhanced Fractal image Watermarking

Multi-Level Secured Encryption Technique Using Enhanced Frac...

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2018 International conference on Inventive Research in Computing applications, ICIRCA 2018

作者： Kaur, Gurjeet Kumar Verma, Shiv Department of CSE Chandigarh University GharuanPunjab India

ISBN: (纸本)9781538624562

With the rapid enhancement of internet the digital multimedia such as images, audio, video are easily reproduced and distributed. The main issue of securing the data and information is born from the dependency upon the encoding and steganography individually. Because of that, the hidden secret messages can be easily broken and contents are detected. The image watermarking is the method of embedding hidden data into original image for the purpose of security. In this paper, we have purposed a new watermarking technique combined with RSA and fractal image coding for the purpose of image security and high image quality, with the help of which we have tried to overcome the drawbacks of previous watermarking techniques. In this new technique the information or the watermark is encoded using RSA and the encoded image is hidden into the fractal codes of an image. Experimental results show that the proposed algorithm enhances the security against attacks such as cutting, random noise attack and JPEG compression and provide high quality of image. Results of proposed method are better as compared to results of fractal image watermarking that are measuring by parameters such PSNR, BER and MSE. © 2018 IEEE.

关键词： Fractals

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AN IMPROVED DC RECOVERY METHOD FROM AC COEFFICIENTS OF DCT-TRANSFORMED imageS

AN IMPROVED DC RECOVERY METHOD FROM AC COEFFICIENTS OF DCT-T...

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IEEE International conference on image Processing

作者： Li, Shujun Ahmad, Junaid Jameel Saupe, Dietmar Kuo, C. -C. Jay Univ Konstanz Dept Comp & Informat Sci D-7750 Constance Germany Univ Southern Calif Ming Hsieh Dept EE Los Angeles CA USA

ISBN: (纸本)9781424479948

Motivated by the work of Uehara et al. [1], an improved method to recover DC coefficients from AC coefficients of DCT-transformed images is investigated in this work, which finds applications in cryptanalysis of selective multimedia encryption. The proposed under/over-flow rate minimization (FRM) method employs an optimization process to get a statistically more accurate estimation of unknown DC coefficients, thus achieving a better recovery performance. It was shown by experimental results based on 200 test images that the proposed DC recovery method significantly improves the quality of most recovered images in terms of the PSNR values and several state-of-the-art objective image quality assessment (IQA) metrics such as SSIM and MS-SSIM.

关键词： AC coefficient DC coefficients DCT transformed images MS-SSIM PSNR values cryptanalysis cryptography data compression discrete cosine transforms image coding improved DC recovery method multimedia communication recovery selective multimedia encryption state-of-the-art objective image quality assessment metrics under-over-flow rate minimization method

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A Novel image encryption and Decoding Approach Based on DNA coding and Arnold's Transformation for IoT applications

A Novel Image Encryption and Decoding Approach Based on DNA ...

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2024 International Telecommunications conference, ITC-Egypt 2024

作者： Shaltout, Nawal Abd El-Latif, Ahmed A. Al-Adrousy, Waleed Hammad, Mohamed Ateya, Abdelhamied A. Elmougy, Samir Mansoura University Faculty of Computers and Information Department of Computer Science Mansoura35516 Egypt Prince Sultan University EIAS Data Science Lab College of Computer and Information Sciences Riyadh11586 Saudi Arabia Menoufia University Faculty of Science Department of Mathematics and Computer Science 32511 Egypt Menoufia University Faculty of Computers and Information Department of Information Technology Shibin El Kom32511 Egypt Zagazig University Department of Electronics and Communications Engineering Zagazig Egypt

ISBN: (纸本)9798350351408

Nowadays, the Internet of Things (IoT) is significantly utilized by an extensive range of applications that lead to the enhancement of different aspects of defense and military capabilities. In IoT, a wide range of smart devices that can communicate with each other are connected through it. Therefore, it is essential to protect multimedia data, especially images with an encryption approach that offers a sufficient degree of security in military applications. Hence, this paper introduces an effective scheme for image encryption and decoding relying on Arnold's transformation DNA coding. It proposes a new pseudo-random number generation PRNG using the Sine-Logistic map and Duffing map called SLDM. The encryption method involves three phases: 1- Key generation and PRNG. 2- confusion phase using the Arnold transformation method. 3- diffusion using DNA rules and operations. The results based on the USC-SIPI dataset, show that the suggested scheme is sufficiently resistant to every kind of attack. Furthermore, the suggested method yields NPCR scores of around 99.62% and UACI scores of approximately 33.48%. Due to its low complexity, it has a great deal of potential for safe and real-time picture applications. © 2024 IEEE.

关键词： Random number generation

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Joint image/video compression and encryption via high-order conditional entropy coding of wavelet coefficients

International Conference on Multimedia Computing and Systems...

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International conference on Multimedia Computing and Systems -Proceedings 1999年 2卷 908-912页

作者： Wu, Xiaolin Moo, Peter W. Univ of Western Ontario London Canada

As the internet and multimedia systems grow in size and popularity, compression and encryption of image and video data are becoming increasingly important. However, independent compression and encryption is too slow for many multimedia applications. This paper presents a new joint compression and encryption method for images and videos that uses high-order conditional entropy coding of wavelet coefficients to facilitate encryption. As a result, state-of-the-art compression and significantly enhanced security are achieved, with no extra computational complexity.

关键词： image compression

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