Esakkirajan S

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (36)

• Empirical mode decomposition and adaptive bilateral filter approach for impulse noise removal
  Expert Systems with Applications 2019 DOI: 10.1016/j.eswa.2018.12.009
  +Save
• Iterative Adaptive Unsymmetric Trimmed Shock Filter for High-Density Salt-and-Pepper Noise Removal
  Circuits, Systems, and Signal Processing 2019 DOI: 10.1007/s00034-018-0984-4
  +Save
• Context Dependent Fuzzy Associated Statistical Model for Intensity Inhomogeneity Correction from Magnetic Resonance Images
  IEEE Journal of Translational Engineering in Health and Medicine 2019 DOI: 10.1109/JTEHM.2019.2898870
  +Save
• DTCWT with fuzzy based thresholding for despeckling of ultrasound images
  2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017 2018 DOI: 10.1109/ICICICT1.2017.8342616
  +Save
• Denoising of PPG signal by wavelet packet transform
  2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017 2018 DOI: 10.1109/ICICICT1.2017.8342632
  +Save
• Context model based edge preservation filter for impulse noise removal
  Expert Systems with Applications 2017 DOI: 10.1016/j.eswa.2017.06.033
  +Save
• Impulse Noise Removal Using Adaptive Radial Basis Function Interpolation
  Circuits, Systems, and Signal Processing 2017 DOI: 10.1007/s00034-016-0352-1
  +Save
• Direction sensitive wavelet packet for despeckling of ultrasound images
  IET Computer Vision 2016 DOI: 10.1049/iet-cvi.2015.0431
  +Save
• Edge preserving adaptive anisotropic diffusion filter approach for the suppression of impulse noise in images
  AEU - International Journal of Electronics and Communications 2014 DOI: 10.1016/j.aeue.2013.11.008
  +Save
• Recursive cubic spline interpolation filter approach for the removal of high density salt-and-pepper noise
  Signal, Image and Video Processing 2014 DOI: 10.1007/s11760-013-0517-3
  +Save