PERBANDINGAN METODE HOMOMORPHIC FILTERING DAN METODE CONTRAST STRECHING UNTUK PERBAIKAN KUALITAS CITRA UNDERWATER

Adi Mora Lubis, Nelly Astuti Hasibuan, I. Saputra
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Abstract

Digital imagery is a two-dimensional image process through a digital computer that is used to manipulate and modify images in various ways. Photos are examples of two-dimensional images that can be processed easily. Each photo in the form of a digital image can be processed through a specific software. In the water environment, the light factor greatly influences the results of the quality of the image obtained. With the deepening of underwater shooting, the results obtained will be the darker the quality of the underwater image. . uneven lighting and bluish tones. One of the factors that influence the recognition results in pattern recognition is the quality of the image that is inputted. The image acquired from the source does not always have good quality. The process of repairing digital images that experience interference in lighting. The lighting repair process uses homomorphic filtering and uses contrast striching and will compare the quality of both methods and test to prove the results of image quality between homomorphic filtering and contrast streching. Until later the results of both methods can be seen which is better. homomorphic filtering and contrast stretching can produce image improvements with pretty good performance.Keywords: Digital Image, Underwater Image, Homomorphic Filtering, Contrast Streching, Matlab R2010a
对水中形象质量的同质过滤方法和反垄断方法的比较
数字图像是通过数字计算机以各种方式处理和修改图像的二维图像处理。照片是二维图像的例子,可以很容易地处理。每张数字图像形式的照片都可以通过特定的软件进行处理。在水环境中,光因素对图像质量的影响很大。随着水下拍摄深度的加深,所获得的结果会使水下图像的质量越暗。灯光不均匀,色调偏蓝。在模式识别中,影响识别结果的因素之一是输入图像的质量。从源处获得的图像质量并不总是很好。修复受光照干扰的数字图像的过程。照明修复过程使用同态滤波和对比度拉伸,将比较两种方法的质量,并测试证明同态滤波和对比度拉伸的图像质量结果。直到后来,两种方法的结果才能看出哪一种更好。同态滤波和对比度拉伸可以产生较好的图像改进效果。关键词:数字图像,水下图像,同态滤波,对比度拉伸,Matlab R2010a
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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