Nonlinear diffusion at your fingertips: Theory and mobile applications

D. Thuerck, Arjan Kuijper
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引用次数: 1

Abstract

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.
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非线性扩散在你的指尖:理论和移动应用
通过价格实惠的智能手机和更低的移动互联网接入成本,通过移动和静止图片进行移动通信已经成为一种司空见惯的事情。然而,虽然大多数手机都提供拍照功能,但图像处理能力相对较差。实时图像处理所带来的挑战还没有被复杂的技术所解决。由于计算能力有限,采用了简单的算法。在本文中,我们将展示非线性扩散技术可以(近)实时地在大多数智能手机的gpu上使用,如果在OpenGL ES着色器中实现。然后,所提出的实现用于几个与图像相关的任务,即直接在手机上去噪、去块和放大。性能评估表明,各向异性扩散为复杂的移动图像处理提供了一个很好的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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