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A Study of Image Compression Based Transmission Algorithm Using Spiht for Low Bit Rate Application

Ritu Chourasiya
2012 Advanced Computing An International Journal  
Experimental result shows that, in the case of low bit-rate, the modified algorithm with fast Coding Time and Precise Rate Control can reduce the execution time and improves the quality of reconstructed  ...  Precise Rate Control (PRC) is the distinct characteristic of SPIHT. Image compression-based on Precise Rate Control and fast coding time are principally analyzed in this paper.  ...  Precise rate control mechanism is one of the features of the proposed work.  ... 
doi:10.5121/acij.2012.3606 fatcat:ab7wbbylxvg4no53gbth5jcsby

Low-Complexity Compression Method for Hyperspectral Images Based on Distributed Source Coding

Xuzhou Pan, Rongke Liu, Xiaoqian Lv
2012 IEEE Geoscience and Remote Sensing Letters  
in hierarchical tree with SW coding), and its performance is comparable to that of the DSC scheme based on informed quantization at low bit rate.  ...  Then, set-partitioning-based approach was utilized to reorganize DCT coefficients into waveletlike tree structure and extract the sign, refinement, and significance bitplanes.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers and the editors who helped to improve the quality of this letter.  ... 
doi:10.1109/lgrs.2011.2165271 fatcat:cdgqsqxgubhivc6p2uvuj6yzu4

Medical image compression by sampling DCT coefficients

Yung-Gi Wu
2002 IEEE Transactions on Information Technology in Biomedicine  
On the decoder side, a linear equation is employed to reconstruct the coefficients between two sequent significant coefficients.  ...  In this paper, we use an adaptive sampling algorithm by calculating the difference area between correct points and predicted points to decide the significant coefficients.  ...  Refer to Figs. 8-10, which illustrate the relationship among processing block sizes, implementation time, preserved significant coefficients, and reconstruction quality.  ... 
doi:10.1109/4233.992167 pmid:11936601 fatcat:3f6dzzi47bd7fph7su6hss4754

A Contourlet-Based Image Watermarking Resisting to JPEG Compression

Junpeng Zhang, Huaijing Qu, Hongjuan Yang
2015 Open Automation and Control Systems Journal  
The authentication watermark is generated based on the stability of relationship of adjacent Contourlet transform coefficients before and after JPEG.  ...  The tampering identification matrix is determined by the difference between extracted watermark and reconstructed watermark, and adjacent region comparison is adopted to determine the authenticity of image  ...  Contourlet representation of Lena image is given in Impact of JPEG Compression on the Relationship Between Contourlet Coefficients of Image The relationship of Contourlet coefficients can be used to  ... 
doi:10.2174/1874444301507012215 fatcat:oklnvcyvxfajrnicr2ywlwegoa

Prediction Truncation Algorithm Based on Regression Analysis for Embedded Block Coding

Yanjun Liu, Zupeng Liu
2012 International Journal of Future Computer and Communication  
In order to solve the problems of execution complexity and time waste in compression process induced by Post Compression Rate Distortion(PCRD) Optimization in embedded block coding in JPEG2000, this paper  ...  It avoids scanning and encoding the bit planes that can be truncated, discards the time-consuming rate-distortion truncation processing, so that the algorithm is able to speed up the compression process  ...  Therefore, in this paper, this method is used to measure the computational complexity with calculating the number of basic operations.  ... 
doi:10.7763/ijfcc.2012.v1.89 fatcat:yfnovyqfire6lda67frc7licby

Use of Lazy Wavelet and DCT for Vibration Signal Compression

Aim� Joseph Oyobe Okassa, Jean Pierre Ngantcha, Auguste Ndtoungou, Pierre ELE
2021 American Journal of Engineering and Applied Sciences  
The comparison made on the basis of the measurements of SNR, MFD, MSE, PRD and CR allowed to retain the algorithm based on the use of the Lazy wavelet and the discrete cosine transform.  ...  In this study, we compress and decompress the vibration signals from the functioning of a ball bearing.  ...  of the original signal and 2 e  representing the power of the error: the expression (4), Forig and Frecoms represent the average frequency calculated respectively on the original signal and on the reconstructed  ... 
doi:10.3844/ajeassp.2021.1.6 fatcat:4vwlvuuxinhhloaspe443hfdvi

A Study of image compression based transmission algorithm Using SPIHT for low bit rate application

Ritu Chourasiya, Ajit Shrivastava
2013 Bulletin of Electrical Engineering and Informatics  
Precise Rate Control (PRC) is the distinct characteristic of SPIHT. Image compression-based on Precise Rate Control and fast coding time are principally analyzed in this paper.  ...  Experimental result shows that, in the case of low bit-rate, the modified algorithm with fast Coding Time and Precise Rate Control can reduce the execution time and improves the quality of reconstructed  ...  Image Quality PSNR is use to measure the quality of reconstructed images that have been compressed. When an image is compressed and reconstructed the value of each picture element can be change.  ... 
doi:10.12928/eei.v2i2.214 fatcat:toufpuzcffdohazfcmyjn4d4gq

FastSLAM Using Compressed Occupancy Grids

Christopher Cain, Alexander Leonessa
2016 Journal of Sensors  
In this paper a method of solving the SLAM problem that makes use of compressed occupancy grids is presented.  ...  The presented approach is an extension of the FastSLAM algorithm which stores a compressed form of the occupancy grid to reduce the amount of memory required to store the set of occupancy grids maintained  ...  Acknowledgments This material is based upon work supported by (while serving at) the National Science Foundation of the United States.  ... 
doi:10.1155/2016/3891865 fatcat:jrf5xfkibneureksdjngmesggi

Characterization and Uncertainty Analysis of the Interlaminar Inelastic Properties of Unidirectional Fibre-reinforced Composites

Tiren He, Liu Liu, Jifeng Xu
2020 IOP Conference Series: Materials Science and Engineering  
Sensitivity of measurement noise and reconstruction parameter on extracted material properties has been investigated.  ...  The compression failure mode has been achieved through changing the SBS (Short Beam Shear) experiment parameters, and the nonlinear constitutive relationship along thickness direction for the typical specimens  ...  Acknowledgments This work is sponsored by the Project funded by China Postdoctoral Science Foundation under Grant NO. (2019M651629). Such support is greatfully acknowledged.  ... 
doi:10.1088/1757-899x/751/1/012056 fatcat:wzjzmwgghzernnmbel2gpoejuy

Compression of 3D triangular meshes with progressive precision

Sébastien Valette, Alexandre Gouaillard, Rémy Prost
2004 Computers & graphics  
In this paper, we show how to achieve progressive compression of 3D models by transmitting more and more wavelet coefficients computed from the original mesh vertices coordinates.  ...  The connectivity of the reconstructed mesh remains the same as the original one, but its geometry is progressively refined by means of bitplane encoding.  ...  Successive refinement passes occur, which involve the localization of newly significant coefficients and the refinement of significant coefficients, until the desired precision is reached.  ... 
doi:10.1016/j.cag.2003.10.017 fatcat:it3ld2af6rfsfdgjnnmrtpf5y4

Compression of medical images by quaternionic wavelet transform

Bertrand Ledoux Ebassa Eloundou, Aimé Joseph Oyobe Okassa, Hervé Ndongo Abena, Pierre ELE
2021 International Journal of Engineering & Technology  
The results obtained after decompression are appreciated through the compression parameter values of CR, PSNR, and MSE and by visual observation.  ...  In this works we present a new image compression / decompression algorithm based on the quaternion wavelet transform (QWT). This algorithm is simple, fast and efficient.  ...  with complex coefficients. (5) Where = + i and = + i are complex numbers.  ... 
doi:10.14419/ijet.v10i2.31524 fatcat:5elmqieeurcn3mv36aipf5bhu4

Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems

Xiangwei Li, Xuguang Lan, Meng Yang, Jianru Xue, Nanning Zheng
2014 Sensors  
Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene.  ...  Simulation results demonstrate that the proposed solution improves the rate-distortion performance by 0.4~2 dB comparing with current state-of-the-art, while maintaining a low computational complexity.  ...  Acknowledgments The authors would like to thank the anonymous reviewers for their valuable comments. Conflicts of Interest The authors declare no conflict of interest.  ... 
doi:10.3390/s141223398 pmid:25490597 pmcid:PMC4299070 fatcat:ym3wnctmwfhnpg3wgclwdvm5my

Adaptive GOF residual operation algorithm in video compression

Jiyan Pan, Bo Hu
2005 Visual Communications and Image Processing 2005  
One of the most effective and computationally simple algorithms is 3D-DWT-SPIHT algorithm. Nevertheless, it only utilizes intra-GOF temporal redundancy.  ...  However, when background mutations occur, the PSNR of reconstructed target GOF significantly drops; on the other hand, when video sequences are temporally stationary, SGRO algorithm fails to fully utilize  ...  The simulation results demonstrate a monotone decreasing relationship between GOF complexity (represented by the complexity of its typical image) and the PSNR of the reconstructed GOF under all compression  ... 
doi:10.1117/12.632503 fatcat:eyoybjyscbajlfgtdokjxh3ybe

Soft computing based compressive sensing techniques in signal processing: A comprehensive review

Ishani Mishra, Sanjay Jain
2020 Journal of Intelligent Systems  
The exhibition of acquisition and reconstruction strategies is examined regarding the Compression Ratio, Reconstruction Accuracy, Mean Square Error, and so on.  ...  The essential intention of this work expects to audit a few ideas and utilizations of compressive sensing and to give an overview of the most significant sparse recovery calculations from every class.  ...  Different reconstruction calculations utilized for the reproduction of compressed samples signal might be delegated (Table 1) Complexity analysis of algorithms The complexity of reconstruction methods  ... 
doi:10.1515/jisys-2019-0215 fatcat:2fgbjetkvbaf5l3nrrzenvsjea

Data-Smoothness based Preprocessing Strategy for Wavelet Data Processing in Wireless Sensor Networks

Yalin Nie, Haijun Wang, Yujie Qin
2014 Journal of Communications  
On one hand, DSPS can promotes the data reconstruction precision under a given data compression rate.  ...  THEORETICAL ANALYSIS AND EXPERIMENTS The purpose of DSPS is to be applied in improving the performance (reconstruction precision and compression rate) of the algorithms based on wavelet data compression  ... 
doi:10.12720/jcm.9.10.762-770 fatcat:vmkfsuxkfjblxj2l2iag7elpqa
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