使用黄油过滤器进行同质过滤法对RGB图像进行改进

TM Irsan Rizky, Nelly Astuti Hasibuan, Rian Syahputra
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引用次数: 0

摘要

照片被制作成具有历史价值或纪念品的视觉记录。然而,许多令人难忘的照片不再好看,并且由于自然的有效性而产生噪音,例如图像周围液体的蒸发,也可能是图像表面的灰尘或水,除此之外,噪音还可能是由图像存储的地方所包含的塑料和纸张材料引起的。因为从相机设备拍摄数字图像时产生的噪声可能以烟雾或光线圈的形式导致图像显示不清晰。在捕捉RGB图像的过程中经常会遇到黑点等噪声。噪声可以通过一些图像增强技术如平滑、调平和卷积来改善。利用同态滤波方法可以改善数字图像中的噪声。使用同态滤波方法进行图像改进,然后是巴特沃斯滤波,这是离散傅里叶变换算法的一部分,它证实了一个很少用于改进RGB图像的概念。然而,这可以通过测试的形式来证明,以消除噪声,提高RGB图像的质量。关键词:图像,同态,巴特沃斯,滤波,RGB,噪声
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PERBAIKAN CITRA RGB DENGAN METODE HOMOMORPHIC FILTERING MENGGUNAKAN BUTTERWORTH FILTER
The photo is made into a visual recording that has historical value or a memento. However, many memorable photos no longer look good and have noise due to the effectiveness of nature such as the evaporation of liquid that is around the image, it can also be dust or water on the surface of the image, besides that the noise can also be caused by plastic and paper materials that contained in the place where the image is stored as a photo album. For noise caused when taking digital images from camera devices can be in the form of a smoke or light coil that causes the image display is not clear. When the process of capturing RGB images often encountered noise such as black spots. Noise can be improved with several image enhancement techniques such as smoothing, leveling, and convolution. One of the improvements in noise in digital images can be done with Homomorphic filtering Method. Image improvement using the Homomorphic filtering method followed by Butterworth Filtering is part of the discrete fourier transform algorithm which confirms a concept that is rarely used to improve RGB images. However, this can be proven in the form of testing to eliminate noise in improving the quality of RGB images..Keywords: image, homomorphic, butterworth, filtering, RGB, noise
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