Wavelet-Threshold and Hybrid Filtering based Image Denoising
Latha H N
, Rohan Deodurg , Shrinidhi V
Image denoising, discrete wavelet transform, wavelet thresholding, Wiener filtering, median filtering, PSNR, SSIM
Image denoising aims to suppress acquisition and transmission noise while preserving edges, textures, and fine structural details. This paper presents image denoising using wavelet thresholding and Hybrid filtering. The proposed workflow combines discrete wavelet transform (DWT) decomposition, adaptive coefficient thresholding, and post-filtering to improve visual quality and quantitative fidelity. A noisy image is decomposed into multiresolution sub-bands, noise is attenuated using soft-threshold shrinkage, and residual artifacts are reduced using a Wiener/median filtering stage before inverse reconstruction. The method is evaluated using standard image-quality metrics including peak signal-to-noise ratio (PSNR), signal-to-noise ratio (SNR), mean square error (MSE), structural similarity index measure (SSIM), and edge preservation index (EPI). Comparative results show that wavelet thresholding combined with filtering provides better noise suppression than conventional filtering alone while preserving important image structures. The paper also summarizes recent literature on wavelet, sparse, and deep-learning-based denoising methods and positions the proposed approach as a lightweight, interpretable, and computationally efficient alternative for practical image restoration.
"Wavelet-Threshold and Hybrid Filtering based Image Denoising", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.b652-b661, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606195.pdf
Volume 4
Issue 6,
June-2026
Pages : b652-b661
Paper Reg. ID: JETNR_235231
Published Paper Id: JETNR2606195
Downloads: 00051
Research Area: Science and Technology
Country: Bangalore, karnataka, India
ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
