A new approach for reduction of the noise from microscopy images using Fourier decomposition

• Autorzy: Rasal Tushar , Veerakumar Thangaraj , Subudhi Badri Narayan , Esakkirajan Sankaralingam

Identyfikatory

DOI

10.1016/j.bbe.2022.05.001

• Języki publikacji: EN

Abstrakty

EN

In this paper, an efficient method based on the Fourier decomposition method (FDM) is presented for noise removal of medical microscopic images. We propose an adaptive thresholding technique based FDM for denoising of heavily degraded images. An accurate image deconvolution is done with variance stabilization transformation and multi-scale Wiener filtering as a pre-processing step. The different series of frequency intrinsic band functions (FIBF’s) obtained with FDM which are further separated into noise and signal-significant FIBF’s based on cosine similarity index. The FDM adaptive thresholding technique is used to filter-out the unwanted frequency coefficients related to mixed Poisson-Gaussian noise (MPG). The thresholded FIBF’s and signal significant FIBF’s are combined to obtained reconstructed output. Finally, the optimization is done using mixed noise unbiased risk estimate (MNURE). To evaluate the effectiveness of proposed scheme, we have compared the results of the proposed scheme with six different state-of-the-art techniques. The simulation results verify, the effectiveness of proposed method. The proposed algorithm achieves better performance in terms of four quantitative evaluation measures by reducing the effect of noise.

Słowa kluczowe

EN

Fourier decomposition method; FDM; Fourier intrinsic band function; mixed Poisson-Gaussian noise; MPG; mixed noise unbiased risk estimate; MNURE

PL

metoda rozkładu Fouriera; FDM; funkcja Fouriera; MPG; MNURE

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2022
• Tom: Vol. 42, no. 2
• Strony: 615--629
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr.

Twórcy

autor

Rasal Tushar

• Department of Electronics and Communication Engineering, National Institute of Technology Goa, 403401, India

autor

Veerakumar Thangaraj

• Department of Electronics and Communication Engineering, National Institute of Technology Goa, India

autor

Subudhi Badri Narayan

• Department of Electrical Engineering, Indian Institute of Technology Jammu, India

autor

Esakkirajan Sankaralingam

• Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Coimbatore, India

Bibliografia

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