Improved image denoising with the integrated model of Gaussian filter and neighshrink SURE
- Title
- Improved image denoising with the integrated model of Gaussian filter and neighshrink SURE
- Creator
- Naragund M.N.; Jagadale B.N.; Priya B.S.; Panchaxri; Hegde V.
- Description
- Image denoising, being an important preprocessing stage in image processing, minimizes the noise interfering with the information content of the image. The denoising problems are addressed by various techniques starting from the Fourier transforms to wavelets. Because of the localized time frequency features and advantages of multi resolution capabilities, the wavelets have been extensively used in the denoising process. The development of algorithms for the wavelet thresholding or shrinkage strategies along with different filters have resulted in the betterment of image quality after the denoising. Even though the image denoising algorithm based on a combination of Gaussian and Bilateral filters, shows good performance but lacks in consistency with respect to the noise levels and also the type of images used. This paper discusses the advantages of NeighShrink SURE rule in developing an effective thresholding strategy, thereby proposing a improved denoising method incorporating the NeighShrink SURE rule along with combination of Gaussian filter model. The methodology employs the use of subband thresholding derived from the NeighShrink SURE rule. The outcome of the proposed method exhibits a comparatively improved performance in Peak Signal to Ratio (PSNR) and Image Quality Index (IQI) values of the test images. BEIESP.
- Source
- International Journal of Engineering and Advanced Technology, Vol-8, No. 6, pp. 3010-3015.
- Date
- 2019-01-01
- Publisher
- Blue Eyes Intelligence Engineering and Sciences Publication
- Subject
- Gaussian filter; Image denoising; NeighShrink SURE me; Wavelet thresholding
- Coverage
- Naragund M.N., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India; Jagadale B.N., Department of PG studies and research in Electronics, Kuvempu University, Shimoga, India; Priya B.S., Department of Electronics, Kuvempu University, Shimoga, India; Panchaxri, Department of Electronics, SSA Govt. First grade College, Ballari, India; Hegde V., Department of Electronics, MESMM Arts and Science College, Sirsi, India
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 22498958
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Naragund M.N.; Jagadale B.N.; Priya B.S.; Panchaxri; Hegde V., “Improved image denoising with the integrated model of Gaussian filter and neighshrink SURE,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/16587.