{"id":1645,"date":"2025-10-04T14:40:19","date_gmt":"2025-10-04T07:40:19","guid":{"rendered":"https:\/\/ehainstitute.org\/old\/?p=1645"},"modified":"2025-10-04T14:40:20","modified_gmt":"2025-10-04T07:40:20","slug":"the-implementation-of-image-smoothing-to-reduce-noise-using-gaussian-filter","status":"publish","type":"post","link":"https:\/\/ehainstitute.org\/old\/the-implementation-of-image-smoothing-to-reduce-noise-using-gaussian-filter\/","title":{"rendered":"The Implementation of Image Smoothing to reduce Noise Using Gaussian Filter"},"content":{"rendered":"\n<p>November 2017<\/p>\n\n\n\n<p>Authors: Anggit Setiawan, Ina Agustina, Fauziah Nasir<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"786\" src=\"https:\/\/ehainstitute.org\/old\/wp-content\/uploads\/2025\/10\/1000108881-1024x786.jpg\" alt=\"\" class=\"wp-image-1646\" srcset=\"https:\/\/ehainstitute.org\/old\/wp-content\/uploads\/2025\/10\/1000108881-1024x786.jpg 1024w, https:\/\/ehainstitute.org\/old\/wp-content\/uploads\/2025\/10\/1000108881-300x230.jpg 300w, https:\/\/ehainstitute.org\/old\/wp-content\/uploads\/2025\/10\/1000108881-768x590.jpg 768w, https:\/\/ehainstitute.org\/old\/wp-content\/uploads\/2025\/10\/1000108881-1536x1179.jpg 1536w, https:\/\/ehainstitute.org\/old\/wp-content\/uploads\/2025\/10\/1000108881.jpg 1683w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>Abstract<\/strong><\/p>\n\n\n\n<p>Nowadays information is very important and needed, especially for an image, but an image that we have often contains noise, such as black and white grains. To overcome this problem, it is possible to use image smoothing that image captured becomes smoother and is easier to be seen by one\u2019s eyes. The method used is Gaussian filtering. Gaussian filtering aims to decreace noise in an image. In this study, it uses an image affected by noise which is belong to Gaussian noise, Salt and Pepper noise, and Speckle noise. This study aims to smooth an image by decreasing noise on an image affected by noise that it becomes better than before. From the result of image reduction, it is possible to get the best image which has high value (RMSE:19.2960 db, PSNR:35.2761 db, SNR:30.9538 db) and in the experiment 1. jpg has a low value (RMSE:1185.5739 db, PSNR:17.3915db, SNR:13.2861db).<\/p>\n\n\n\n<p><a href=\"http:\/\/repository.unas.ac.id\/id\/eprint\/1962\" data-type=\"link\" data-id=\"http:\/\/repository.unas.ac.id\/id\/eprint\/1962\">http:\/\/repository.unas.ac.id\/id\/eprint\/1962<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>November 2017 Authors: Anggit Setiawan, Ina Agustina, Fauziah Nasir Abstract Nowadays information is very important and needed, especially for an image, but an image that we have often contains noise,<\/p>\n<p><a href=\"https:\/\/ehainstitute.org\/old\/the-implementation-of-image-smoothing-to-reduce-noise-using-gaussian-filter\/\" class=\"av-btn av-btn-secondary av-btn-bubble\">Continue Reading<span class=\"screen-reader-text\">The Implementation of Image Smoothing to reduce Noise Using Gaussian Filter<\/span><i class=\"fa fa-arrow-right\"><\/i><span class=\"bubble_effect\"><span class=\"circle top-left\"><\/span><span class=\"circle top-left\"><\/span><span class=\"circle top-left\"><\/span><span class=\"button effect-button\"><\/span><span class=\"circle bottom-right\"><\/span><span class=\"circle bottom-right\"><\/span><span class=\"circle bottom-right\"><\/span><\/span><\/a><\/p>\n","protected":false},"author":4,"featured_media":1647,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[87],"tags":[72,154,39,155,93],"class_list":["post-1645","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publication","tag-eha-institute","tag-image-smoothing","tag-journal","tag-reduce-noise","tag-research"],"_links":{"self":[{"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/posts\/1645","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/comments?post=1645"}],"version-history":[{"count":1,"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/posts\/1645\/revisions"}],"predecessor-version":[{"id":1648,"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/posts\/1645\/revisions\/1648"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/media\/1647"}],"wp:attachment":[{"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/media?parent=1645"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/categories?post=1645"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ehainstitute.org\/old\/wp-json\/wp\/v2\/tags?post=1645"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}