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Image contrast enhancement using a recursive rational filter

机译:使用递归Rational滤波器的图像对比度增强

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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,新一代手机和一般的现代图像采集设备,需要用于图像增强的算法,适合于实时工作,并且可能具有有限的功耗。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努力,或者不提供良好的性能。介绍了改进数字图像的视觉质量的新方法。基本上基于“Retinex”方法的暴露方法采用了一种用于提取照明组分的创新系统,这主要是基于Retinex方法的实时应用的瓶颈。在retinex理论中,图像的照明由原始图像的窄带低通滤波近似,该窄带低通滤波应该保持突然的转变不变。为了获得此行为,介绍了新型过滤器的类型,即递归RATITION滤波器(RRF),采用这种滤波器使用非常简单的结构来获得适当的行为,适用于实时设备中的实现。

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