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PERBAIKAN KUALITAS CITRA TIGA DIMENSI DENGAN MENGGUNAKAN METODE CONVOLUTION SMOOTH

Fath Ponco Sadewo, ponco (2019) PERBAIKAN KUALITAS CITRA TIGA DIMENSI DENGAN MENGGUNAKAN METODE CONVOLUTION SMOOTH. Undergraduate (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Image is visual information, an image is obtained from the capture of light reflected by an object. In its own object the image is a representation, resemblance, or imitation of an object or object that exists. activities to convert non-digital physical image information to digital are referred to as imaging (imaging) Images can be grouped into two namely visible images and invisible images. Examples of visible images in everyday life are photos, images, and paintings, while invisible images such as image data in files (digital images), and images represented as mathematical functions. Among these types of images, only digital images can be processed using a computer. Image processing is a process of image processing and analysis that involves a lot of visual perception. This process has the characteristics of input data and output information in the form of images. The term digital image processing is generally defined as two-dimensional image processing with a computer. Images also have poor results such as noise (noise), these problems make researchers want to do research in terms of three dimensions that also have noise (noise). This researcher uses a smooth convolution method focusing on noise generated by three-dimensional images. The purpose of this research is to improve, the benefit of this research is that the results of the research are expected to be additional reference material or subsequent research studies, especially those that examine three-dimensional images..

Item Type: Thesis (Undergraduate (S1))
Student ID: 201210370311220
Thesis Advisors: Hardianto wibowo (NIDN 072302880), Wildan Suharso (NIDN 0730038405)
Keywords: Image Processing, Three Dimension, Convolution, noise
Subjects: T Technology > T Technology (General)
T Technology > TR Photography
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201210370311220
Date Deposited: 24 Aug 2019 06:11
Last Modified: 11 Jan 2020 09:08
URI : http://eprints.umm.ac.id/id/eprint/52099

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