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A novel Hexa data encoding method for 2d image crypto-compression

MULTIMEdIA TOOLS ANd APPLICATIONS 2020年第9-10期79卷 6045-6059页

作者： Siddeq, Mohammed M. Rodrigues, Marcos A. Sheffield Hallam Univ GMPR Res Grp Sheffield S Yorkshire England

We proposed a novel method for 2d image compression-encryption whose quality is demonstrated through accurate 2d image reconstruction at higher compression ratios. The method is based on the dWT-discrete Wavelet Transform where high frequency sub-bands are connected with a novel Hexadata crypto-compression algorithm at compression stage and a new fast matching search algorithm at decoding stage. The novel crypto-compression method consists of four main steps: 1) A five-level dWT is applied to an image to zoom out the low frequency sub-band and increase the number of high frequency sub-bands to facilitate the compression process;2) The Hexa data compression algorithm is applied to each high frequency sub-band independently by using five different keys to reduce each sub-band to1/6of its original size;3) Build a look up table of probability data to enable decoding of the original high frequency sub-bands, and 4) Apply arithmetic coding to the outputs of steps (2) and (3). At decompression stage a fast matching search algorithm is used to reconstruct all high frequency sub-bands. We have tested the technique on 2d images including streaming from videos (YouTube). Results show that the proposed crypto-compression method yields high compression ratios up to 99% with high perceptual quality images.

关键词： 2d image compression dWT Hexadata encoding Fast matching search

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A novel high-frequency encoding algorithm for image compression

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EURASIP JOURNAL ON AdVANCES IN SIGNAL PROCESSING 2017年第1期2017卷 1页

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

In this paper, a new method for image compression is proposed whose quality is demonstrated through accurate 3d reconstruction from 2d images. The method is based on the discrete cosine transform (dCT) together with a high-frequency minimization encoding algorithm at compression stage and a new concurrent binary search algorithm at decompression stage. The proposed compression method consists of five main steps: (1) divide the image into blocks and apply dCT to each block;(2) apply a high-frequency minimization method to the AC-coefficients reducing each block by 2/3 resulting in a minimized array;(3) build a look up table of probability data to enable the recovery of the original high frequencies at decompression stage;(4) apply a delta or differential operator to the list of dC-components;and (5) apply arithmetic encoding to the outputs of steps (2) and (4). At decompression stage, the look up table and the concurrent binary search algorithm are used to reconstruct all high-frequency AC-coefficients while the dC-components are decoded by reversing the arithmetic coding. Finally, the inverse dCT recovers the original image. We tested the technique by compressing and decompressing 2d images including images with structured light patterns for 3d reconstruction. The technique is compared with JPEG and JPEG2000 through 2d and 3d RMSE. Results demonstrate that the proposed compression method is perceptually superior to JPEG with equivalent quality to JPEG2000. Concerning 3d surface reconstruction from images, it is demonstrated that the proposed method is superior to both JPEG and JPEG2000.

关键词： 2d image compression dCT High-frequency minimization Concurrent binary search 3d surface reconstruction

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An adaptive tree-based progressive audio compression scheme

An adaptive tree-based progressive audio compression scheme

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Workshop on Applications of Signal Processing to Audio and Acoustics

作者： Strahl, S Zhou, H Mertins, A Carl von Ossietzky Univ Oldenburg Signal Proc Grp Dept Phys D-26111 Oldenburg Germany

ISBN: (纸本)0780391543

A fine-grain scalable and efficient audio compression scheme based oil adaptive significance-trees is presented. Common approaches for 2-d image compression like EZW (embedded wavelet zero tree) and SPIHT (set partitioning in hierarchical trees) use a fixed significance-tree that captures well the inter- and intra-band cot-relations of wavelet coefficients. For 1-d audio signals, such rigid coefficient correlations are not present. We address this problem by dynamically selecting an optimal significance-tree for the actual audio frame from a given set of possible trees. Experimental results ire given. showing that this coding scheme outperforms single-type tree coding schemes and performs comparable to the MPEG AAC coder while additionally achieving fine-grain scalability.

关键词： audio coding data compression tree codes wavelet transforms 1d audio signals 2d image compression MPEG AAC coder adaptive significance-trees embedded wavelet zero tree fine-grain scalability interband correlations intraband correlations progressive audio tree codes Audio coding data compression wavelet transforms Audio compression microparticles Wavelet coefficients

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A Novel Steganography Approach for Audio Files

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SN Computer Science 2020年第2期1卷 1-13页

作者： Abdulrazzaq, Sazeen T. Siddeq, Mohammed M. Rodrigues, Marcos A. Computer Engineering Department Technical College/Kirkuk Northern Technical University Kirkuk Iraq GMPR-Geometric Modelling and Pattern Recognition Research Group Sheffield Hallam University Sheffield United Kingdom

We present a novel robust and secure steganography technique to hide images into audio files aiming at increasing the carrier medium capacity. The audio files are in the standard WAV format, which is based on the LSB algorithm, while images are compressed by the GMPR technique which is based on the discrete Cosine Transform and high-frequency minimization encoding algorithm. The method involves compression–encryption of an image file by the GMPR technique followed by hiding it into audio data by appropriate bit substitution. The maximum number of bits without significant effect on audio signal for LSB audio steganography is 6 LSBs. The encrypted image bits are hidden into variable and multiple LSB layers in the proposed method. Experimental results from observed listening tests show that there is no significant difference between the stego-audio reconstructed from the novel technique and the original signal. A performance evaluation has been carried out according to quality measurement criteria of signal-to-noise ratio and peak signal-to-noise ratio. © 2020, The Author(s).

关键词： 2d image compression Audio steganography Binary search algorithm dCT LSB Matrix minimization

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