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  1. 1
    A novel hybrid binary reconstruction algorithm for ultrasonic tomography

    A novel hybrid binary reconstruction algorithm for ultrasonic tomography by Abdul Rahim, R., Fazalul Rahiman, M. H.

    Published 2008
    “…This paper presents a novel image reconstruction algorithm namely the Hybrid Binary Reconstruction Algorithm (HBRA). …”
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  2. 2
    Ultrasonic tomography - image reconstruction algorithms

    Ultrasonic tomography - image reconstruction algorithms by Rahiman, Mohd Hafiz Fazalul, Abdul Rahim, Ruzairi, Abdul Rahim, Herlina, Mohd Muji, Siti Zarina, Mohamad, Elmy Johana

    Published 2012
    “…This paper focuses on image reconstruction algorithms for use in ultrasonic tomography. …”
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  3. 3
    Ultrasonic tomography – image reconstruction algorithms

    Ultrasonic tomography – image reconstruction algorithms by Rahiman, Mohd Hafiz Fazalul, Abdul Rahim, Ruzairi, Abdul Rahim, Herlina, Mohd Muji, Siti Zarina, Mohamad, Elmy Johana

    Published 2012
    “…This paper focuses on image reconstruction algorithms for use in ultrasonic tomography. …”
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  4. 4
    Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method

    Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method by Nor Haizan, Binti Jamali

    Published 2020
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  5. 5
    Performance Analysis of ARMA based Magnetic Resonance Imaging (MRI) Reconstruction Algorithm

    Performance Analysis of ARMA based Magnetic Resonance Imaging (MRI) Reconstruction Algorithm by Salami, Momoh Jimoh Emiyoka, Najeeb, Athaur Rahman

    Published 2012
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  6. 6
    Development of intelligent 3D solid modeler based on artificial intelligent technique

    Development of intelligent 3D solid modeler based on artificial intelligent technique by Mohd. Zain, Azlan, Talib, Mohamad Shukor, Harun, Habibollah, Matondang, Muhammad Zaini, Mardzuki, Samihah

    Published 2008
    “…The framework consists of neural network models for the reconstruction and the hybrid computing algorithm as representation scheme of the reconstructed solid. …”
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  7. 7
    Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction

    Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction by Mohd Nadzri,, Muhammad Muzakkir, Ahmad, Afandi, Tukiran, Zarina

    Published 2020
    “…There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. …”
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  8. 8
    Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography

    Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography by Yasmin, Abdul Wahab, Ruzairi, Abdul Rahim, Fazalul, Rahiman, Suzzana, Ridzuan Aw, Fazlul Rahman, Mohd Yunus, Jaysuman, Pusppanathan, Nor Muzakkir , Nor Ayob, Leow, Pei Ling

    Published 2017
    “…An image reconstruction algorithm in process tomography is very important in ensure that the reconstructed image is satisfied. …”
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  9. 9
    3D character reconstruction from 2D orthogonal images

    3D character reconstruction from 2D orthogonal images by Kok, Yung Thow

    Published 2025
    “…The project objectives are to: (1) review the existing state-of-arts for solving 3D generation and reconstruction, (2) design an algorithm capable of reconstructing primitive shapes of 3D characters from four orthogonal images, optimized for limited computational resources. …”
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  10. 10
    Application of adaptive network based fuzzy inference system for model reconstruction in reverse engineering

    Application of adaptive network based fuzzy inference system for model reconstruction in reverse engineering by Nagajyothi, D.

    Published 2004
    “…Using an Adaptive Network based Fuzzy Inference System (ANFIS), the model reconstruction algorithm is designed. …”
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  11. 11
    Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT

    Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT by Chen, Ew-Jun *, Haniff Shazwan, Safwan Selvam, Lee, Hee Siang, Chew, Ming Tsuey *

    Published 2023
    “…Ordered Subset Expectation Maximisation (OSEM) is a widely used statistical iterative reconstruction algorithm in PET-CT due to its dependability, reconstruction quality and adequate signal-to-noise ratio. …”
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  12. 12
    Towards a unified image quality assessment technique for cross-content image processing applications

    Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

    Published 2024
    “…Subsequently, the HaarPSI-based reconstruction approach improved accuracy from 2% to 84% compared to AS algorithms at both low and high distortion levels. …”
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  13. 13
    Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm

    Stereo Camera - Based 3D Object Reconstruction Utilizing Semi-Global Matching Algorithm by Achmad, M. S. Hendriyawan, Findari, Widya Setia, Nurnajmin Qasrina, Ann, Pebrianti, Dwi, Mohd Razali, Daud

    Published 2016
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  14. 14
    Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device

    Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device by Jamaludin J., Rahim R.A., Fazul Rahiman M.H., Mohd Rohani J.

    Published 2024
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  15. 15
    Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents

    Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents by Zulcaffle, Tengku Mohd Afendi

    Published 2007
    “…A noise model has been developed to test the reliability of the proposed algorithm. The model was developed based on several predefined criteria. …”
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  16. 16
    Reconstruction algorithm of calibration map for RPT technique in quadrilateral bubble column reactor using MCNPX code

    Reconstruction algorithm of calibration map for RPT technique in quadrilateral bubble column reactor using MCNPX code by Mohd Yunos, Mohd Amirul Syafiq, Anak Usang, Mark Dennis, Ithnin, Hanafi, Hussain, Siti Aslina, Mohamed Yusoff, Hamdan, Sipaun, Susan

    Published 2018
    “…The iterative reconstruction algorithms is used to generate and calculate the 2600 coordinates of calibration map from the number of photon counts from the ten NaI scintillation detectors. …”
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  17. 17
    A new parameterized architectural design for SENSE reconstruction

    A new parameterized architectural design for SENSE reconstruction by Siddiqui, M.F., Reza, A.W., Kanesan, J., Omer, H.

    Published 2014
    “…Hardware platforms for specific reconstruction algorithms dramatically increase the power efficiency and decrease the execution time. …”
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  18. 18
    Adaptive Pca-Based Models To Reconstruct 3d Faces From Single 2d Images

    Adaptive Pca-Based Models To Reconstruct 3d Faces From Single 2d Images by Maghari, Ashraf Y. A.

    Published 2014
    “…A regularized 3D face reconstruction algorithm has also been examined to find out how common factors such as the regularization matrix, the number of feature points, and the regularization parameter l affect the accuracy of the 3D face reconstruction based on the PCA model. …”
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  19. 19
    Analytic And Iterative Reconstruction Algorithms In Myocardial Perfusion Spect: A Comparative Study

    Analytic And Iterative Reconstruction Algorithms In Myocardial Perfusion Spect: A Comparative Study by Mansor, Mohd Syahir

    Published 2012
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  20. 20
    LEVEL-BASED CORRESPONDENCE APPROACH TO COMPUTATIONAL STEREO

    LEVEL-BASED CORRESPONDENCE APPROACH TO COMPUTATIONAL STEREO by MAHABADI, SEYED ALI KASAEIZADEH MAHABADI

    Published 2010
    “…Lastly, in the final stage it elaborates different methods of displaying reconstructed result. Different sets of data are processed based on the steps involved in correspondence and the results are discussed and compared in detail. …”
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