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Image contrast enhancement using a recursive rational filter

机译:使用递归有理滤波器增强图像对比度

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Digital cameras, new generation phones and in general modern image acquisition devices, requires algorithms for image enhancement suitable to work in real time and possibly with a limited power consumption. Unfortunately most of the systems present in the literature either require a very high computational effort or do not provide good performances. A new method for the improvement of the visual quality of a digital image is introduced. The exposed method, substantially based on the "retinex" approach, adopts an innovative system for the extraction of the illumination component, which is essentially the bottleneck for real-time applications based on the retinex method. In the retinex theory, the illumination of an image is approximated by a narrow-band low-pass filtering of the original image which should maintain the abrupt transitions unchanged. In order to obtain this behavior a new typology of filters is introduced, i.e. the recursive rational filter (RRF), The adoption of such filters concurs to obtain the proper behavior using a very simple structure, suitable for an implementation in real-time devices.
机译:数码相机,新一代电话以及通常的现代图像采集设备需要用于图像增强的算法,该算法适用于实时工作,并且功耗可能有限。不幸的是,文献中存在的大多数系统要么需要非常高的计算工作量,要么就不能提供良好的性能。介绍了一种改善数字图像视觉质量的新方法。基本上基于“ retinex”方法的裸露方法采用了一种创新的系统来提取照明分量,该系统本质上是基于retinex方法进行实时应用的瓶颈。在retinex理论中,通过原始图像的窄带低通滤波来近似图像的照明,该滤波应保持突变的突然变化不变。为了获得这种行为,引入了一种新的过滤器类型,即递归有理过滤器(RRF)。采用此类过滤器的目的是使用非常简单的结构来获得适当的行为,该结构适用于实时设备中的实现。

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