HERMAWAN, EGA ARYA (2019) ANALYSIS THE COMPARISON OF PSNR VALUE IN GAUSSIAN FILTERING METHOD AND MEDIAN FILTERING METHOD FOR SALT & PEPPER NOISE REDUCTION IN IMAGE. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.
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Abstract
A noise in image can be divided into three types , namely Salt & Pepper noise , Gaussian noise , Speckle noise . The appereance of noise in the image can caused by the process of capturing image isn’t perfect. Noise can affect the quality of image , the more noise in image , the worst the quality image. To handled the noise in image , so it needs a method that can reduce the noise in image There are so many kind of methods for salt & pepper noise reduction , but from several journals stated the best salt and pepper noise reduction is gaussian filtering and median filtering , one of them stated the best is gaussian filtering but the other journal stated that median filtering is the best method for salt and pepper noise reduction. Then , this project will compare gaussian filtering method and median filtering method to determine the best metod for salt and pepper noise reduction This project use java programming , the first step is collect 20 images with noise then that images will be processed by 2 methods there are, median filtering and gaussian filtering, in this project methods will use 3 kernels , that is 3x3 , 5x5 , 7x7 , 9x9. Then the next step is decide the PSNR value form the images that have been processed. After we know the value of PSNR , then we will know the best method for reducing an images noise , the higher PSNR value , the better method Keyword: Gaussian Filtering , Median Filtering , PSNR(Peak Signal to Noise Ratio)
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works > 004 Data processing & computer science |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | Mr Lucius Oentoeng |
| Date Deposited: | 22 Nov 2019 01:15 |
| Last Modified: | 09 Oct 2020 07:24 |
| URI: | http://repository.unika.ac.id/id/eprint/20047 |
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