Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2024.2321807
Removal of salt and pepper noise using adaptive switching modified decision-based unsymmetric trimmed median filter optimized with Hyb-BCO-FBIA
S. Mohan
; Department of Electronics and Communication Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India
*
B. Paulchamy
; Department of Electronics and Communication Engineering, Hindusthan Institute of Technology, Coimbatore, Tamilnadu, India
* Dopisni autor.
Sažetak
An intriguing area in the IP (image processing) is the recovery of noisy photographs from the
noise caused by the salt and pepper. As the mistake rate rises and the image format varies, the
issue with the current task does not go away. In this study, Salt and Pepper Denoising, Hybrid
Balancing Composite motion Optimization with Adaptive Switching Modified Decision based
Unsymmetric Trimmed Median Filter and Forensics-Based Investigation Algorithm is proposed
(R-SPN-ASMD-UTMF-Hyb-BCO-FBIA). Initially, the input images are obtained from boat-typesrecognition dataset, cat-breeds-dataset, cars-image-dataset, butterfly-images 40-species dataset
and birds-200 dataset. The images are pre-processed through an ASMD-UTMF filter. ASMD-UTMF
does not expose any adoption of optimization systems to calculate the optimal parameters.
Therefore, the proposed Hyb-BCO-FBIA is employed for optimizing the ASMD-UTMF weight
parameters. The suggested system is implemented on MATLAB and the assessment metrics as
Mean Square Error (MSE), Structural similarity index measurement (SSIM), Peak signal to noise
ratio (PSNR), Normalized cross-correlation (NC), Image Enhancement Factor (IEF), Mean Square
Error (MSE) are analysed. The proposed method attains higher PSNR, NC related with other SOTA
(State-Of-The Art) methods.
Ključne riječi
Adaptive switching modified decision based unsymmetric trimmed median filter; balancing composite motion optimization; forensic-based investigation algorithm; salt and pepper noise
Hrčak ID:
326199
URI
Datum izdavanja:
26.2.2024.
Posjeta: 0 *