{ "article_id": 1126, "public_id": "fe343aa7-88bb-4d8d-af92-b48c29f70e64", "internal_identifier": null, "source_identifier": "42:131", "status": "published", "type": "research_article", "title": "Görüntülerin Renk Uzayı Yardımıyla Ayrıştırılması ve Tekrarlı Uzunluk Kodlaması Tabanlı Görüntü Sıkıştırma", "title_secondary": null, "abstract": "Teknolojinin gelişimiyle birlikte her geçen gün daha kaliteli hale gelen ve boyutları büyümekte olan sayısal görüntüleri saklamak ve transfer etmek ciddi problem haline gelmektedir. Boyut ve kalite arttıkça görüntüyü saklamak için gereken bellek alanı artmakta ve aynı zamanda transfer süresi de uzamaktadır. Bu çalışmada görüntülerin renk uzayı yardımıyla ayrıştırılması ve tekrarlı uzunluk kodlaması (run-length encoding: RLE) kullanılarak yeni bir kayıplı sıkıştırma yöntemi geliştirilmiştir. Önerilen algoritmada öncelikle bölütleme süreci ile görüntüdeki renk sayısı indirgenmektedir. İkinci aşamada ise bölütlenmiş görüntülerin etiket bilgilerine RLE sıkıştırması uygulanılarak dosya boyutu küçültülmektedir.", "language": "tr", "english_title": "Image Decomposition Using Color Space and Repeat Length Coding-Based Image Compression", "english_abstract": "With the development of technology, it becomes a serious problem to store and transfer digital images with high quality which has large sizes. When the size and quality of the image increase, the memory space required to store increases as well. Moreover, the transfer durations also increase. In this paper, a new lossy compression method has been developed by integrating run-length encoding (RLE) algorithm and image segmentation process with color space. In the proposed method, initially, the number of colors in image is reduced by the segmentation method. Then RLE compression strategy is applied to the label information of segmented image. Consequently, the file size of images has been reduced.", "doi": null, "doi_url": null, "resource_url": "https://www.set-science.com/a/fe343aa7-88bb-4d8d-af92-b48c29f70e64", "pdf_url": "https://www.set-science.com/a/fe343aa7-88bb-4d8d-af92-b48c29f70e64/pdf", "og_image": "https://www.set-science.com/assets/img/og-card-v2.png", "authors": [ { "public_id": "94c77125-8770-435b-8c72-3d5583d96eef", "given": "Mustafa Burak   ", "family": "Kalkan", "full": "Mustafa Burak    Kalkan", "literal": null, "orcid": null, "orcid_url": null, "email": "mburakkalkan@gmail.com", "corresponding": true, "sequence": "first", "affiliations": [ { "name": "Gazi University  ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "2b7ae2fc-60dc-4b6b-910b-758c267686c7", "given": "Recep   ", "family": "Demirci", "full": "Recep    Demirci", "literal": null, "orcid": null, "orcid_url": null, "email": "mburakkalkan@gmail.com", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Gazi University  ", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] } ], "keywords": [], "translations": [ { "language": "en", "title": "Image Decomposition Using Color Space and Repeat Length Coding-Based Image Compression", "abstract": "With the development of technology, it becomes a serious problem to store and transfer digital images with high quality which has large sizes. When the size and quality of the image increase, the memory space required to store increases as well. Moreover, the transfer durations also increase. In this paper, a new lossy compression method has been developed by integrating run-length encoding (RLE) algorithm and image segmentation process with color space. In the proposed method, initially, the number of colors in image is reduced by the segmentation method. Then RLE compression strategy is applied to the label information of segmented image. Consequently, the file size of images has been reduced.", "keywords": [ "görüntü sıkıştırma, görüntü ayrıştırma, bölütleme, tekrarlı uzunluk kodlaması, renk uzayı" ] } ], "subjects": [], "subject_names": [], "published_date": "2019-06-01", "published_year": "2019", "received_date": null, "accepted_date": null, "volume": "4", "issue": null, "page_first": "667", "page_last": "671", "article_number": null, "conference": { "short_name": "ISAS2019-ENS", "full_title": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "name": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "acronym": "ISAS2019-ENS", "location": "Ankara, Türkiye", "start_date": "2019-04-19", "end_date": null, "public_id": "ed3b36e9-38cf-4aeb-a135-833c969cc89f" }, "proceedings": { "title": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)", "series_title": "Setsci conference indexing system", "publisher": "SET Technology", "isbn": null, "eisbn": null, "issn": "2618-6446", "eissn": null, "doi": null, "doi_prefix": null, "slug": "setsci-volume-4-2019-legacy-42", "public_id": "24d215ef-a545-4351-9725-6e9bdb167b3c", "url": "https://www.set-science.com/p/setsci-volume-4-2019-legacy-42" }, "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "code": "CC-BY-4.0", "open_access": true }, "copyright": { "holder": "SET Technology", "year": "2019" }, "funding_statement": null, "funders": [], "references": [ { "order": 1, "raw": "A. 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