Satellite Image Denoising Using Discrete Cosine Transform
| Main Authors: | Ahmed Mir, Shabir; AMET University, Padma, T.; AMET University |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
IAES Indonesian Section
, 2017
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| Subjects: | |
| Online Access: |
http://section.iaesonline.com/index.php/IJEEI/article/view/369 http://section.iaesonline.com/index.php/IJEEI/article/view/369/pdf |
Daftar Isi:
- The process of adding and removing the noises to an image is said to be as Image denoising. The process can be used in many image applications. This paper presents a method of satellite image denoising scheme using a wavelet transform called as Discrete Cosine Transform (DCT). The noise that is added in this scheme is the salt and pepper noise. By using hard thresholding method in the noise image the co-ordinates of the image can be changed and the original image can be retrieved by removing the noise. This can be done by Inverse Discrete Cosine Transform (IDCT). The performance measures of the proposed system can be done by measuring the PRNR values of the denoised image.