Abstract
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 imag e.
Highlights
Image denoising is one of a significant image processing task, in the field of computer applications
The output images are shown for our proposed system based on the Discrete Cosine Transform (DCT) based image denoising
Our proposed system is a type of an image denoising system based DCT wavelet transform
Summary
Image denoising is one of a significant image processing task, in the field of computer applications. A sonar image noise reduction auto encoder technique is discussed in Image super resolution reconstruction using iterative adaptive regularization method and genetic algorithm [5,6,7] and is based on the convolutional neural network to make the sonar image with good quality. This makes the recognition much easy so as it a superior quality of sonar image can be obtained over a single continuous image. The image gets decomposed into a number of decomposition levels so as to alter its co-ordinates values much easier
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