International Journal of Scientific Research and Engineering Development

International Journal of Scientific Research and Engineering Development


( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175

IJSRED » Archives » Volume 8 -Issue 5


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πŸ“‘ Paper Information
πŸ“‘ Paper Title Analytical Review of Image Denoising using Independent Component Analysis
πŸ‘€ Authors Saniya Shetty, Rashmi Singh, Nishant Tripathi
πŸ“˜ Published Issue Volume 8 Issue 5
πŸ“… Year of Publication 2025
πŸ†” Unique Identification Number IJSRED-V8I5P99
πŸ“ Abstract
Noise removal (denoising) is one of the most fundamental challenges in modern image processing. Various techniques aim to separate noise from the desired image, thereby improving visual quality and feature preservation. Among these, Independent Component Analysis (ICA) has emerged as an effective method, leveraging the non-Gaussian nature of image components to isolate useful structures from noise. ICA is a powerful tool for blind source separation and image decomposition, with applications ranging from denoising to feature extraction. Despite relatively limited literature, its adaptability and statistical robustness make it highly relevant for today’s imaging systems.