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IMAGE ENHANCEMENT BY SUPPRESSING WRINKLES USING L_0 NORM AND ACO

机译:使用L_0 NORM和ACO抑制皱纹来增强图像

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摘要

In this article the problem of enhancing the image quality by suppressing the predetermined information (wrinkles) from it is taken into account. The technique used to do this is based on the optimisation approach followed by ants while searching for good path between their colony and source of food. In addition to this another technique that is applied to enhance detail layer is based on global optimisation filter known as L_0 norm, as other filters produces halo artefacts and gradient reversal artifacts when we enlarge the gradient of the image. In this paper three parameters are taken into account in order to validate our research for enhancing the image (1) PSNR value i.e. Peak Signal to noise ratio (2) Mean Square Error (3) Histogram Equalisation.
机译:在本文中,考虑了通过抑制预定信息(皱纹)来提高图像质量的问题。用于执行此操作的技术基于优化方法,然后是蚂蚁在寻找其殖民地和食物来源之间的良好路径时所遵循的方法。除此之外,用于增强细节层的另一种技术是基于称为L_0范数的全局优化过滤器,因为当我们扩大图像的梯度时,其他过滤器会产生光晕伪像和梯度反转伪像。本文考虑了三个参数,以验证我们在增强图像方面的研究(1)PSNR值,即峰值信噪比(2)均方误差(3)直方图均衡化。

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