In this paper, we present an implementation of the IDEA algorithm for imageencryption. The imageencryption is incorporated into the compression algorithm for transmission over a data network, in the proposed method,...
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ISBN:
(纸本)0819437670
In this paper, we present an implementation of the IDEA algorithm for imageencryption. The imageencryption is incorporated into the compression algorithm for transmission over a data network, in the proposed method, Embedded Wavelet Zero-tree coding is used for image compression. Experimental results show that our proposed scheme enhances data security and reduces the network bandwidth required for video transmissions. A software implementation and system architecture for hardware implementation of the IDEA imageencryption algorithm based on Field Programmable Gate Array (FPGA) technology are presented in this paper.
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.
In this paper we propose a novel method for computing JPEG quantization matrices based on desired mean square error, avoiding the classical trial and error procedure. First, we use a relationship between a Laplacian s...
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ISBN:
(纸本)0819429112
In this paper we propose a novel method for computing JPEG quantization matrices based on desired mean square error, avoiding the classical trial and error procedure. First, we use a relationship between a Laplacian source and its quantization error when uniform quantization is used in order to find a model for uniform quantization error. Then we apply this model to the coefficients obtained in the JPEG standard once the image to be compressed has been transformed by the discrete cosine transform. This allows us to compress an image using JPEG standard under a global MSE (or PSNR) constraint and a set of local constraints determined by JPEG standard and visual criteria. Simulations show that our method generates better quantization matrices than the classical method of scaling the JPEG default quantization matrix, with a cost lower than the coding, decoding and error measuring procedure.
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