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Noise distortions introduced in natural images generally break the initial probability distributions by dispersing image pixels randomly. We found that there exists a big difference between the distributions of Discrete Wavelet Transform (DWT) coefficients of natural images and noisy images: (1) for natural images, their distributions are sharp with high peaked ness and slight tail, (2) for noisy...
With the increasing spatial and temporal resolutions of acquired remote sensing (RS) images, effective image compression is becoming more and more important. RS image compression technologies have been extensively studied in the past a few decades, and various algorithms have been developed accordingly. In this paper, we provide an overview of practically deployed RS image compression approaches,...
The wavelet transform using in image fusion processing can get much more detail information of the source images in both airspace and frequency domains, but the high-frequency noise will be also saved to the fusion image. This paper brings out a new method based on NMF and wavelet transform for image fusion. Because of the good performance of NMF on character extraction, we can get more feature information...
This paper presents a novel speckle noise suppression and SAR image compression scheme in discret wavelet domain. First, in the novel speckle noise suppression, a modified soft-thresholding denoising method was applied to reduce speckle noise and it can protect more edge information at the meantime. Then, a new SAR image compression structure based on JPEG2000 was presented. The efficiency of the...
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