Transform Based Image Denoising
DOI:
https://doi.org/10.21533/pen.v6.i1.1709Abstract
The Image denoising is the retrieval of quality image from the noisy image corrupted by channel noise at the time of transmission. Without denoising process it becomes very tough to carry further analysis on these types of images. In this paper, transform based image denoising techniques are proposed to address these issues for the removal of noise. The flow of work initiated with generation of sub-band coefficients using transform techniques like DCT, DWT, SWT etc. These coefficients are under goes spatial filtering process with order statistic filters like (min, max, median etc.) Then inverse transform is applied on the processes coefficients to generate denoised image. The resultant image is noiseless quality image and this can be used for further analysis.
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