Titlebook: Image and Graphics; 9th International Co Yao Zhao,Xiangwei Kong,David Taubman Conference proceedings 2017 Springer Nature Switzerland AG 20

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Efficient High Dynamic Range Video Using Multi-exposure CNN Flow. In this paper, we present a method to generate HDR video from frame sequence of alternating exposures in a fast and concise fashion. It takes advantage of the recent advancement in deep learning to achieve superior efficiency compared to other state-of-art method. By training an end-to-end CNN mod

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An Image Segmentation Method Based on Asynchronous Multiscale Similarity Measureffects and speed of image segmentation, an asynchronous processing mechanism of image segmentation was proposed, which use the image gray histogram and spatial contiguity and can avoid multiple iteration of the traditional FCM. A multiscale similarity measure method is proposed combined with the non

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Lagrange Detector in Image Processingtical work has been proposed beyond the first- and the second-order derivative operator for edge detection in the past decays. We propose a mathematical model called Lagrange detector for edge detection. Based on Lagrange polynomial interpolation theory, this detector calculates Lagrange remainder a

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Image Quality Assessment of Enriched Tonal Levels Imageses are generally in evaluation stage. The most available image quality assessment methods are designed to assess low dynamic range images. In the paper, we show the assessment of high dynamic range images which are generated by utilizing a virtually flexible fill factor on the sensor images. We pres

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A Variational Model to Extract Texture from Noisy Image Data with Local Variance Constraints, the Lagrange multiplier of many variational model is global, which leads to the phenomenon that some image regions get satisfactory restoration while the others fail. To avoid this, we propose an image denoising model including a set of local constraints (Lagrange multipliers), each one correspond

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