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Nonlinear diffusion at your fingertips: Theory and mobile applications

机译:非线性扩散唾手可得:理论和移动应用

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Through affordable smartphones and lower costs for mobile internet access, mobile communication by moving and still pictures has become a commonplace. However, while most phones offer a camera for taking pictures, the image processing capabilities are relatively sparse. The challenges that arise with real-time image handling are not yet countered by complex techniques. Because of the limited computation power, simple algorithms were used. In this paper, we will show that the technique of nonlinear diffusion can be used in (near) real-time on most smartphone's GPUs if being implemented in an OpenGL ES shader. The presented implementation is then used for several image-related tasks, namely denoising, deblocking and upscaling directly on the phone. As the performance evaluation shows, anisotropic diffusion offers a nice framework for complex mobile image handling in several arising problem areas.
机译:通过负担得起的智能手机和较低的移动互联网访问成本,通过移动和静止图片进行移动通信已变得司空见惯。但是,尽管大多数电话都提供用于拍照的相机,但是图像处理功能相对较稀疏。实时图像处理所带来的挑战还不能通过复杂的技术来应对。由于计算能力有限,因此使用了简单的算法。在本文中,我们将证明,如果在OpenGL ES着色器中实现,则非线性扩散技术可以在大多数智能手机的GPU上(近)实时使用。所呈现的实现然后用于一些与图像有关的任务,即直接在电话上进行去噪,解块和放大。如性能评估所示,各向异性扩散为在几个出现问题的区域中处理复杂的移动图像提供了一个很好的框架。

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