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Efficient computational technique of de-convolution and image blending for motion blurring problems in medical imaging

Author

Listed:
  • Poonam Sharma

    (Amity University Uttar Pradesh)

  • Ashwani Kumar Dubey

    (Amity University Uttar Pradesh)

  • Ayush Goyal

    (Texas A&M University)

Abstract

The challenges of performance indices in highly complex computing have always been observed in terms of latency, throughput, number of gates, power, and yields. The use of CPU based vector processing and GPU parallel processing architecture has given ways to accelerate the computations but again lacks the scalability of parallel cores like Multiplier and Accumulator (MAC). With the evolution of reconfigurable hardware solutions and recent significant characterization in channel width (

Suggested Citation

  • Poonam Sharma & Ashwani Kumar Dubey & Ayush Goyal, 2023. "Efficient computational technique of de-convolution and image blending for motion blurring problems in medical imaging," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 394-403, March.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-023-01867-7
    DOI: 10.1007/s13198-023-01867-7
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