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They noted that contourlet-based methods perform much better than wavelet-based methods in images like maps.
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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.
He also has a keen interest in image processing and researching innovative and efficient methods in image processing applications for mobile phones.
Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.
In Section 2, we discuss about complexity measures and the existing methods in image complexity and introduce a new complexity measure based on the ROI concept.
Thanks to the well balance of rank and thresholding, RNNM achieves superior results than the state-of-the-art methods in image denoising such as BM3D, SAIST in terms of both quantity measure and visual quality.
This more general class, which properly includes the classes of quasi-nonexpansive operators, directed operators, and demicontractive operators, is more desirable for example in fixed point methods in image recovery where in many cases, it is possible to map the set of images possessing a certain property to the fixed point set of a nonlinear quasi-nonexpansive operator.
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