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This paper presents an efficient algorithm for removing noise in satellite images by combining Wavelet Thresholding, Total Variation in wavelet domain and Bilateral Filter, Joint Bilateral Filter (JBF) in spatial domain. During the first stage, the noisy image is passed through Bilateral Filter (BF) and some amount of noise is reduced but the image becomes blurred, hence adaptive wavelet thresholding is applied while applying the threshold rule, the important features in an image such as edges, curves and textures can be identified. In the third stage, Total Variation (TV) method is applied to wavelet threshold output denoised image.
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