Publications

For more updated lists of publications, you can visit my Google Scholar.

Pre-Prints

  1. Adam, T., Malyshev, A., Hassan, M. F., Mohamed, N. S., & Salam, M. S. H. (2023). Accelerated Proximal Iterative re-Weighted $\ell_1 $ Alternating Minimization for Image Deblurring. arXiv preprint arXiv:2309.05204. (Codes)

Journal Papers

  1. Hassan, M. F., Adam, T., Rajagopal, H., & Paramesran, R. (2022). A hue preserving uniform illumination image enhancement via triangle similarity criterion in HSI color space. The Visual Computer, 1-12.
  2. Hassan, M. F., Adam, T., Yin, M., & Paramesran, R. (2023). Effect of image denoising on geometric moments in image applications. The Journal of Analysis, 31(3), 1783-1803.
  3. Adam, T., Paramesran, R., & Ratnavelu, K. (2022). A combined higher order non-convex total variation with overlapping group sparsity for Poisson noise removal. Computational and Applied Mathematics, 41(4), 1-33.
  4. Yin, M., Adam, T., Paramesran, R., & Hassan, M. F. (2022). An ℓ0-overlapping group sparse total variation for impulse noise image restoration. Signal Processing: Image Communication, 102, 116620. (MATLAB Codes)
  5. Adam, T., Paramesran, R., Mingming, Y., & Ratnavelu, K. (2021). Combined higher order non-convex total variation with overlapping group sparsity for impulse noise removal. Multimedia Tools and Applications, 80(12), 18503-18530.
  6. Adam, T., & Paramesran, R. (2020). Hybrid non-convex second-order total variation with applications to non-blind image deblurring. Signal, Image and Video Processing, 14(1), 115-123.
  7. Adam, T., & Paramesran, R. (2019). Image denoising using combined higher order non-convex total variation with overlapping group sparsity. Multidimensional Systems and Signal Processing, 30(1), 503-527.
  8. Adam, T. B., Salam, M. S., & Gunawan, T. S. (2013). Wavelet cesptral coefficients for isolated speech recognition. Indonesian Journal of Electrical Engineering and Computer Science, 11(5), 2731-2738.
  9. Adam, T. B., & Salam, M. (2012). Spoken english alphabet recognition with mel frequency cepstral coefficients and back propagation neural networks. International Journal of Computer Applications, 42(12), 21-27.

Conference Papers

  1. Hassan, M. F., Adam, T., & Paramesran, R. (2023, June). Lightness enhancement method for low illumination night-time image. In AIP Conference Proceedings (Vol. 2756, No. 1). AIP Publishing.
  2. Adam, T., Hassan, M. F., & Paramesran, R. (2021, September). A Study on Staircase Artifacts in Total Variation Image Restoration. In 2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) (pp. 83-88). IEEE. (MATLAB Codes)
  3. Adam, T. B., Salam, M. S., & Gunawan, T. S. (2013, October). Wavelet based Cepstral Coefficients for neural network speech recognition. In 2013 IEEE International Conference on Signal and Image Processing Applications (pp. 447-451). IEEE.

Book Chapters

  1. Adam, T., Mohamed, N. S.,Hassan, M. F., & Paramesran, R. (2022). The alternating direction method of multipliers (ADMM) for large-scale convex optimization problems: Applications in image and signal processing. In Operations Research & Analytics in Practice: Theory, Methods & Applications . UTeM Press & MSORSM (Accepted).