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Vector of Locally Aggregated Descriptor (VLAD) is a very popular feature coding method in image classification and image retrieval.
NSST can be used as a promising method in image processing tasks, such as denosing, fusion, enhancement.
The application of the proposed method in image authentication and forged area localization has been discussed in Section 3.
In MST domain, the discrete wavelet transform (DWT) becomes the most popular and important multiscale decompositions method in image fusion.
Liu et al. [21] used a bidimensional EMD method in image fusion; the results demonstrate that the EMD method may preserve both spatial and spectral information.
Among computer vision and image processing we will review the total variation model for image denoising, images on implicit surfaces, and the level set method in image processing and computer vision.
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It is more reasonable and useful than other traditionally used measurement methods in image analysis.
Our statistically motivated locally adaptive filtering framework is inspired by recent methods in image processing.
Scale-space methods in image processing have proven to be fundamental tools for image diffusion and enhancement.
Traditional methods such as bilinear, bicubic, and cubic convolution [1, 2] are the common methods in image enlargement.
Two of the methods in image processing, dilation and expansion, can control the size of the object boundary, effectively.
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