International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

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Call for Paper Volume 16 Issue 3 July-September 2025 Submit your research before last 3 days of September to publish your research paper in the issue of July-September.
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Volume 16 Issue 3
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Image Denoising Using Deep Learning and Wavelet Transform

Author(s) Mr. Rakesh S, Dr. Shahu Chatrapati K
Country India
Abstract Image denoising is a critical task in image processing, aimed at improving visual quality by removing unwanted noise introduced during acquisition, transmission, or storage. Noise can degrade visual content and affect image analysis tasks such as edge detection, object recognition, and feature extraction. As digital images are widely used in fields like medical imaging, satellite imaging, and photography, developing efficient denoising techniques is essential. The core challenge lies in balancing noise reduction with detail preservation. Traditional methods like Gaussian and median filtering often blur important features. This project integrates Convolutional Neural Networks (CNNs) with wavelet transforms, leveraging multi-resolution analysis to separate noise from image features. CNNs further refine the output by learning complex patterns for enhanced denoising. By isolating noise through wavelet coefficients and reconstructing clean images using CNNs, this hybrid approach achieves high-quality denoising with minimal detail loss. This project seeks to advance image processing by offering a robust solution that balances noise reduction with detail preservation.
Keywords Image Denoising, Deep Learning, Wavelet Transform, Convolutional Neural Networks, Noise Reduction
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-08-05
DOI https://doi.org/10.71097/IJSAT.v16.i3.7554
Short DOI https://doi.org/g9wh7t
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