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"Speckle Noise Suppression Based on Empirical Mode Decomposition and Im" by Xiaojiang Zhan, Chuli Gan et al.

Existing methods to eliminate the laser speckle noise in quantitative phase imaging always suffer from the loss of detailed phase information and the resolution reduction in the reproduced image. To overcome these problems, this paper proposes a speckle noise suppression method based on empirical mode decomposition. Our proposed method requires only one image without additional equipment and avoids the complicated process of searching the optimal processing parameters. In this method, we use empirical mode decomposition to highlight the high frequency information of the interference image and use the Canny operator to perform edge detection, so the diffusion denoising process is guided by high-precision detection results to achieve better results. To validate the performance of our proposed method, the phase maps processed by our proposed method are compared with the phase maps processed by the improved anisotropic diffusion equation method with edge detection, the mean filter method a ....

Anisotropic Diffusion Equation , Edge Detection , Empirical Mode Decomposition , Peckle Noise Suppression ,

How to Scan Document from Scanner and Camera Using JavaScript

Scan document from scanner and camera using JavaScript. A complete web document capture SDK supporting desktop and mobile browsers. ....

Scan Document , Camera Using , Dynamic Web , Crash Course , Simple Web Document Scanning , Camera Document Scanning , Edge Detection ,

Toon shading: how to create stylised 3D scenes

Toon shading: how to create stylised 3D scenes
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