Hybrid Algorithm Based on Hyper Spectral Noise Removal for Satellite Image

Rajini, N. Hema (2020) Hybrid Algorithm Based on Hyper Spectral Noise Removal for Satellite Image. EAI Endorsed Transactions on Energy Web, 7 (28): e12. ISSN 2032-944X

[thumbnail of eai.13-7-2018.163843.pdf]
eai.13-7-2018.163843.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (4MB) | Preview


Usually the image obtained from a sensor is blurred by noise. Such noises are identified and eliminated by the procedure called denoising. The cross breed (Hybrid) algorithm is a popular technique that has been utilized recently. The Discrete Cosine Transformation (DCT) and Discrete Wave Transformation (DWT) are the generally utilized transform in which discrete cosine transformation requires less energy and computation resource and discrete wavelet transformation has multiple transformations. This Hybrid Algorithm combines the twin benefits of both the transformation and thus eliminates the negative contour and blocks the traces completely. The effectiveness of the proposed hybrid Algorithm is verified with different pictures by finding the average Squared Blunder, PSNR, Variance, architectural resemblance Index and average architectural resemblance Index.

Item Type: Article
Uncontrolled Keywords: Denoising, MSE, MSSIM, PSNR, SSI, Squared Blunder
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 16 Sep 2020 14:05
Last Modified: 16 Sep 2020 14:05
URI: https://eprints.eudl.eu/id/eprint/390

Actions (login required)

View Item
View Item