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

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Dynamic segment designate lossless coding for sparse binary patterns

Dynamic segment designate lossless coding for sparse binary ...

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conference on image compression and encryption technologies

作者： Tong, XF Zhang, TX 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 dynamic segment designate lossless coding (DSDC for short) method for sparse binary patterns is proposed in this paper. First of all, in order to reduce the correlation of the binary image, we carry out peculiar difference in row and column on the white/black (0/1) binary image successively, the resultant image is also binary, but commonly it is sparser than before, that is to say, the proportion of non-zero element will decrease. Afterwards we join rows of the simpler image by linking their heads and tails correspondingly into a long one-dimensional array. Scan the one-dimensional array from left to right step by step and divide the array into a number of non-all-zero segments (I and 0 included) of fixed length and all-zero segments (only 0 included) of varying length according to a certain rule. In the algorithm, we always encode a subsection as often as we divide it from the one-dimensional array. After that, perform distinct coding method for the two kinds of segments of non-all-zero segments and all-zero segments respectively. For non-all-zero segment, we encode each non-all-zero element with its segment-relative address code and skip over the zero elements in each segment. As for all-zero segment, we designate the length of the all-zero segment with bin tree code, which represents the number of contiguous zero element contained in it. The Decoding method is the back-ward process of coding. Read out the bit stream from the code file and reconstruct the segment by using the corresponding method every time. Finally, if differential operation is carried out at the course of encoding, perform reverse difference on the current binary image and we will reconstruct the original binary image. The whole process is lossless. The encoding process and the decoding process are nearly balance in computational time or in computational complexity. In this paper, the eight binary images CCITT 1-8 have been tested by some methods mentioned in this paper. It has been demonstrat

关键词： image compression binary image difference dynamic segment segment-relative address code bin tree

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A New JPEG encryption Scheme Using Adaptive Block Size 1

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16th International conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2020 in conjunction with the 13th International conference on Frontiers of Information Technology, Applications and Tools, FITAT 2020

作者： Li, Peiya Meng, Jiale Sun, Zefan College of Cyber Security Jinan University Guangzhou510632 China

ISBN: (数字)9789813364202

ISBN: (纸本)9789813364196

An encryption scheme based on adaptive block size is presented in this paper through three different levels of encryption techniques, and all of them are JPEG friendly. First, according to the plain image’s local intensity information, the image is segmented into different sizes of blocks, and then we apply corresponding discrete cosine transform (DCT) to each block. Second, we convert different sizes of blocks to 8 × 8 blocks using coefficients distribution followed by block permutation at the quantization stage. Finally, the segmentation information is embedded in AC coefficients at JPEG’s entropy coding stage for the third-level protection. BLAKE-256 hashing function is employed to generate sensitive keys by inputting the plain image, which has a good effect on resisting known plaintext attack. In our proposed scheme, the biggest DCT block size we apply reaches 64. Experimental results have shown that the proposed method is secure enough and has a better compression ratio and peak signal-to-noise ratio (PSNR) compared with other approaches from literature. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Discrete cosine transforms

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Enhancing Data Privacy through a Secure Data Hiding Approach Integrated with Lossless compression 7

Enhancing Data Privacy through a Secure Data Hiding Approach...

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7th International conference on Inventive Computation technologies, ICICT 2024

作者： Manjula, M. Bora, Kakoli Shaila, S.G. Raj, Skanda N. Thilak, R. Kanchireddy, Akanksha Bangalore India

ISBN: (纸本)9798350359299

In the contemporary digital landscape, characterized by ubiquitous internet connectivity and broad photo sharing, protecting secret data within photographs is becoming increasingly important. This study describes an innovative technique that combines AES encryption, LSB substitution, and the PNG lossless algorithm. It uses improved image steganography algorithms to improve security and privacy while also providing data resilience during storage and transmission. This hybrid technology improves confidentiality through AES encryption and subtle embedding via LSB, resulting in a robust protection against unwanted access while preserving image data integrity. The paper's results provide a powerful answer to the current issues of protecting private information within digital images, promising to improve existing weaknesses and strengthen data integrity in an era of increased privacy and security concerns. © 2024 IEEE.

关键词： Data privacy

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Robust blind and secure biometric watermarking based on partial multi-map chaotic encryption

Robust blind and secure biometric watermarking based on part...

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IFIP International conference on New technologies, Mobility and Security

作者： El-Mahallawy, Mohamed S. Hagras, Esam A. Eldin, Ahmed Zein Fakhr, Mohamed Waleed Cairo Egypt Faculty of Engineering Alexandria University Alexandria Egypt

ISBN: (纸本)9781424487042

In this paper, a novel Commutative Watermarking and Partial encryption (CWPE) algorithm using single level 2-Dimension Discrete Wavelet Transform (CWPE 2D DWT) and Multi-Map Orbit Hopping Chaotic System (MMOH-CS) is proposed. The experimental results show that the proposed algorithm is robust against common signal processing attacks such as Salt & Pepper noise, Gaussian noise, Wiener filter, JPEG compression, Resizing and Cropping. The proposed scheme is able to reduce encryption to one quarter of the image information. Statistical analysis, differential analysis and key sensitivity test are performed to estimate the security strength of the proposed algorithm. The results of the security analysis show that the proposed algorithm provides a high security level for real time application.

关键词： Discrete wavelet transforms

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Efficient color image indexing and retrieval using color and spatial feature

Efficient color image indexing and retrieval using color and...

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conference on image compression and encryption technologies

作者： Cao, K Feng, YC Wang, YZ Huazhong Univ Sci & Technol Comp Sch Wuhan Peoples R China

ISBN: (纸本)0819442798

Recently, some image retrieval systems have begun to move away from histogram techniques and begun to make use of segmentation to extract and index features. The representative color or region color descriptor is more compact and can be easily incorporated with spatial features. However, the spatial feature is less investigated and confined to some simple geometric properties, such as centroid, area, etc. In this paper, we present a novel and efficient scheme for extracting, indexing, and retrieving color images. The scheme is built upon a region-based image retrieval and is based on the observed fact that a small number of colors are usually enough to characterize the color information in an image. First, we propose a color clustering method to better capture color properties of the image, Then, we will present a new method to characterize the spatial feature by using spatial histograms. The proposed method computes image features automatically from a given image and they can be used to retrieve images. The experiments were conducted to establish the retrieval capabilities of our approach. The retrieval quality is measured by the retrieval rate. Experimental results are reported indicating that our approach performs very well and gives very good retrieval efficiency.

关键词： color spatial feature image representation and retrieval color image analysis image database region-based query by color distribution spatial histogram similarity matching integrating of single features

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Low power area efficient improved dwt and aes architectures for secure image coding 1

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1st International conference on Advances in Electrical and Computer technologies, ICAECT 2019

作者： Ravi, Renjith V. Subramaniam, Kamalraj Prasanna Venkatesan, G.K.D. Department of Electronics and Communication Engineering M.E.A Engineering College MalappuramKerala India Department of Electronics and Communication Engineering Faculty of Engineering Karpagam Academy of Higher Eduction CoimbatoreTamil Nadu India Faculty of Engineering Karpagam Academy of Higher Eduction CoimbatoreTamil Nadu India

ISBN: (数字)9789811555589

ISBN: (纸本)9789811555572

This paper unfolds the development of an HDL model on the ASIC platform for the quicker and safer transmission of image data. Secure image encoding was facilitated by the DWT through image compression and AES through encryption. The DWT computation based on lifting scheme algorithm was developed and implemented on ASIC platform. An algorithm that can compute multi-level sub bands using 2D-DWT was developed. Based on compression ratio and data recovery, appropriate sub bands were chosen to reduce the computation time of the AES encryption. The DWT architecture was developed to facilitate high throughput and latency. The HDL model of the DWT architecture and the AES algorithm were developed and validated on the ASIC platform to identify the area, timing and power performance. The ASIC implementation was carried out using 56nm CMOS technology. © Springer Nature Singapore Pte Ltd 2020.

关键词： image compression

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Computer pseudo-color equi-density coding of gray image based on tri-primary colors of RGB and pixel's self-transformations.

Computer pseudo-color equi-density coding of gray image base...

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conference on image compression and encryption technologies

作者： Cao, MY Sun, NL Yu, DY Lu, JR Xie, HB Tianjin Univ Coll Precis Instrument & Optoelect Engn Tianjin 300072 Peoples R China

ISBN: (纸本)0819442798

Pseudo-color coding of gray image is a typical processing in the fields of medicine, engineering and military. This paper proposed a new method of pseudo-color equi-density coding of gray image based on tri-primary colors of RGB and pixel's self-transformations. In the method, The negative pixel f' (x,y) and the positive-negative superimposed pixel f" (x,y) is easily obtained from the original(positive) pixel f(x,y) in arbitrary space (x,y). Then the three signals for RGB which drive the physical display device are specified to f(x, y), f' (x,y) and f" (x,y) individually, and are fed separately into the red green and blue guns of the RGB color cube of the monitor. The theoretical analysis and experimental results is also given. This method has advantages of being easy to realize and high color sensitivity for gray levels.

关键词： tri-primary colors of RGB pseudo-color image enhancement coding gray image negative pixel positive pixel positive-negative superimposed pixel

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Simple look-up-table algorithms to lower the bit rate of AMBTC for image coding

Simple look-up-table algorithms to lower the bit rate of AMB...

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conference on image compression and encryption technologies

作者： Liu, CH Lu, ZM Sun, SH Harbin Inst Technol Dept Automat Test & Control Harbin 150001 Peoples R China

ISBN: (纸本)0819442798

Block truncation coding (BTC) is an efficient lossy image compression technique, which has the advantage of being easy to implement compared to other block based compression techniques such as transform coding and vector quantization. The principle of the original BTC method is to preserve the block mean and the block standard deviation. Lema and Mitchell present absolute moment BTC (AMBTC) that preserves the higher mean and the lower mean and minimizes the MSE value among the BTC variants that use the mean value as the quantization threshold. However, the bit rate achieved with the original BTC algorithm or the AMBTC algorithm is 2bits/pixel. In this paper, we introduce two simple look-up-table algorithms to code the higher mean and the lower mean of AMBTC, one can reduce the bit rate without any extra distortion, and the other can reduce more bit rate with a little extra distortion. The main idea of the two proposed algorithms is to encode the higher mean and the lower mean together as a mean pair. These two algorithms can be combined with the prediction and interpolation techniques that are used to code the bit plane of BTC to further reduce the total bit rate of AMBTC. We denote the two algorithms as LUTBTC-1 and LUTBTC-2. These two algorithms are used to encode 256-gray images including remote-sensed images. Test results show that the LUTBTC-1 algorithm has the same PSNR as the AMBTC algorithm but has lower bit rate compared to the AMBTC algorithm. The LUTBTC-2 algorithm has a little extra degradation in image quality but has lower bit rate than the AMBTC algorithm and the LUTBTC-1 algorithm. Both LUTBTC-1 and LUTBTC-2 have higher encoding quality than BTC-VQ (the algorithm that uses vector quantization (VQ) to code the mean pairs without using VQ to code the bit plane), and LUTBTC-2 also has lower bit rate than BTC-VQ for ordinary images (not for remote sensed images).

关键词： image processing image encoding image compression image transmission remote-sensed image coding block truncation coding (BTC) absolute moment BTC look-up-table BTC vector quantization mean pair

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On the Classification of Digital images Processed by the DAC Algorithm 17

On the Classification of Digital Images Processed by the DAC...

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17th IEEE International conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2024

作者： Makarichev, Viktor Lukin, Vladimir Brysina, Iryna National Aerospace University 'KhAI' Dept. of Information-Communication Technologies Kharkiv Ukraine Aerospace University 'KhAI' Dept. of Higher Mathematics and System Analysis National Kharkiv Ukraine

ISBN: (纸本)9798331520564

image classification is an essential part of computer vision. A lot of approaches, in particular, based on applying convolutional neural networks have been proposed. In this paper, we investigate the impact of discrete atomic compression (DAC) on state-of-the-art models. The DAC algorithm ensures low resource intensive image encryption and compression features. Such a combination makes its usage promising, especially taking into account a huge number of digital images and current data protection requirements. DAC has lossy and lossless compression modes. The first one provides a higher compression ratio in combination with distortions. The aim of this research is to answer the following question: how does quality loss, which is introduced by DAC, affect the efficiency of the MobileNetV2, VGG16, VGG19, ResNet50, NASNetMobile and NASNetLarge models? It is shown that the difference between classifying images before and after lossy DAC-compression is insignificant. © 2024 IEEE.

关键词： Convolutional neural networks

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An Efficient and Privacy-Preserving Medical image compression and Sharing Protocol 15

An Efficient and Privacy-Preserving Medical Image Compressio...

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15th International conference on Computing Communication and Networking technologies, ICCCNT 2024

作者： Singh, Surendra Tripathi, Shubham Jain, Tanya Rana, Saurabh Choudhary, Neelam Bennett University School of Computer Science Engineering & Technology Gautam Buddha Nagar India

ISBN: (纸本)9798350370249

The effective transmission and sampling of clinical images are important research areas in computer science, particularly in the healthcare industry. Methods such as personal area networking and body area networking are valuable for medical monitoring systems used in remote surgical guidance and early emergency detection. However, due to the sensitive nature of medical images, strong privacy protection and secure data aggregation/compression techniques are needed. In this study, we use compressive sensing theory to address these challenges with a novel approach. Our technique reduces the size of medical photos by 10 %, while maintaining strong secrecy through the use of additive homomorphic encryption. © 2024 IEEE.

关键词： Differential privacy

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