In this paper, we present a novel scheme for secure Internet image transmission. The feature of the proposed scheme is joint application between image compression and imageencryption. For source coding, we implement ...
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In this paper, we present a novel scheme for secure Internet image transmission. The feature of the proposed scheme is joint application between image compression and imageencryption. For source coding, we implement Discrete Wavelet Transform (DWT) and for channel coding, we utilize block cipher dataencryption Standard (DES) algorithm. Simulation results show that our proposed method significantly enhances security for image transmission over Internet as well as improves the transmission rate.
The proceedings contain 23 papers. The topics discussed include: biorthogonal wavelets of maximum coding through pseudoframes for subspaces;a skinning prediction scheme for dynamic 3D mesh compression;multi-modal mult...
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ISBN:
(纸本)0819463949
The proceedings contain 23 papers. The topics discussed include: biorthogonal wavelets of maximum coding through pseudoframes for subspaces;a skinning prediction scheme for dynamic 3D mesh compression;multi-modal multi-fractal boundary encoding in object-based image compression;perspectives on data compression methods for network-level management of multi-sensor systems;exploiting data compression methods for network-level management of multi-sensor systems;a model utilizing artificial neural network for perceptual image;use of adaptive models in watermark identification;data payload optimality: a key issue for for video watermarking applications;quantization index modulation-based watermarking using holography;the optimum estimation of statistical signals based on systematic expression of many types of sample arrays in multidimensional space;and segmentation of motion textures using mixed-state Markov random fields.
A new imagecoding method based on image region is proposed in this paper. According to the features of the image gray surface, an image is partitioned into many convex polygons which appoximate the original image as ...
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ISBN:
(纸本)7505338900
A new imagecoding method based on image region is proposed in this paper. According to the features of the image gray surface, an image is partitioned into many convex polygons which appoximate the original image as close as possible. The experimental results show that good quality of the reconstructed image can still be obtained when the data compression ratio is more than 20:1 and SNR is more than 30dB.
In the paper we present comparison of three advanced techniques for video compression. Among them 3D Embedded Zerotree Wavelet (EZW) coding, recently suggested Optimal imagecoding using Karhunen-Loeve (KL) transform ...
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In the paper we present comparison of three advanced techniques for video compression. Among them 3D Embedded Zerotree Wavelet (EZW) coding, recently suggested Optimal imagecoding using Karhunen-Loeve (KL) transform (OICKL) and new algorithm of video compression based on 3D EZW coding scheme but with using KL transform for frames decorrelation (3D-EZWKL). It is shown that OICKL technique provides the best performance and usage of KL transform with 3D-EZW coding scheme gives better results than just usage of 3D-EZW algorithm.
Compressed sensing (CS), a popular signal processing technique, can achieve compression and encryption simultaneously. Therefore, it has extension applications in various fields. However, CS is vulnerable to cryptogra...
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ISBN:
(纸本)9781665478939
Compressed sensing (CS), a popular signal processing technique, can achieve compression and encryption simultaneously. Therefore, it has extension applications in various fields. However, CS is vulnerable to cryptographic attacks for its linear encoding process. To solve this problem, a permutation-diffusion structure is designed and embedded to the CS encoding process. In addition, it can increase the key space while compressing. Since the permutation-diffusion structure reduces the sparseness, superior recovery performance cannot be achieved. Therefore, the multi-prior regularization recovery strategy is designed to improve the recovery performance, where the multi-prior regularization term denotes l(1) norm, total variation (TV) and low rank. The simulation results and analyses demonstrate that the proposed encoding scheme can resist cryptographic attacks, increase the key space while compressing, and achieve 1.54dB PSNR gain on average in comparison with the existing schemes.
The proceedings contain 26 papers. The topics discussed include: object/image relations in full and weak perspective and 3D reconstruction;the design of wavelets for limited-angle tomographic hyperspectral imaging sys...
ISBN:
(纸本)9780819482952
The proceedings contain 26 papers. The topics discussed include: object/image relations in full and weak perspective and 3D reconstruction;the design of wavelets for limited-angle tomographic hyperspectral imaging systems;an overview of view-based 2D/3D indexing methods;image algebra Matlab language version 2.3 for image processing and compression research;a comparison study between Wiener and adaptive state estimation (STAP-ASE) algorithms for space time adaptive radar processing;information theoretic analysis of edge detection in visual communication;combination of the sensitivity in EM field and the optimum nonlinear interpolation approximation as a favorable means of CAD of composite meta-materials;3D object recognition with photon-counting integral imaging using independent component analysis;and decision tree classifier for character recognition combining support vector machines and artificial neural networks.
The atomic functions-based image processing system (AFIPS) is based on discrete atomic transform (DAT). It provides a combination of imageencryption and compression features with a machine learning-oriented data form...
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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 imageencryption 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 imagedataset. In addition, the practical aspects of the further applications, including UAV image processing and analysis, are discussed.
A number of methods have been recently proposed in the literature for the encryption of 2-D information using linear optical systems. In particular the double random phase encoding system has received widespread atten...
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A number of methods have been recently proposed in the literature for the encryption of 2-D information using linear optical systems. In particular the double random phase encoding system has received widespread attention. This system uses two Random Phase Keys (RPK) positioned in the input spatial domain and the spatial frequency domain and if these random phases are described by statistically independent white noises then the encrypted image can be shown to be a white noise. Decryption only requires knowledge of the RPK in the frequency domain. The RPK may be implemented using a Spatial Light Modulators (SLM). In this paper we propose and investigate the use of SLMs for secure optical multiplexing. We show that in this case it is possible to encrypt multiple images in parallel and multiplex them for transmission or storage. The signal energy is effectively spread in the spatial frequency domain. As expected the number of images that can be multiplexed together and recovered without loss is proportional to the ratio of the input image and the SLM resolution. Many more images may be multiplexed with some loss in recovery. Furthermore each individual encryption is more robust than traditional double random phase encoding since decryption requires knowledge of both RPK and a lowpass filter in order to despread the spectrum and decrypt the image. Numerical simulations are presented and discussed.
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