ТАСВИР КОНТРАСТИНИ ОШИРИШ УСУЛИ ВА КОНТРАСТ БАҲОЛАШ МЕЗОН ОПТИМАЛ ЖУФТЛИГИ

Authors

  • Маматов Нарзулло Солиджонович TIIAME National Research UniversityТошкент ирригация ва қишлоқ хўжалигини механизациялаш муҳандислари институти
  • Пулатов Ғиёс Гофуржонович Тошкент ирригация ва қишлоқ хўжалигини механизациялаш муҳандислари институти
  • Жалелова Малика Моятдин қизи Тошкент ирригация ва қишлоқ хўжалигини механизациялаш муҳандислари институти

Keywords:

баҳолаш мезони, гамма коррекция, гистограмма текислаш, Ҳаралик, контраст ошириш, рақамли тасвир, RMS, GCF

Abstract

Ҳозирги кунда мултимедиа қурилмалари ривожлангани сари рақамли тасвирлар сони ҳам кескин ўсиб бормоқда. Айрим ҳолларда ушбу рақамли тасвир контрасти етарли даражада бўлмаслиги сабабли, визуал сифатга жавоб бермайди. Яъни таҳлил қилиш учун етарли ахборот бермайди. Шу сабабдан рақамли тасвирнинг контрастини ошириш масаласи долзарб ҳисобланади. Мазкур тадқиқот ишида 20 та контраст ошириш усули фойдаланилиб, натижада ҳосил бўлган тасвирлар RMS, Ҳаралик ва GCF эталонсиз баҳолаш мезонлари билан баҳоланади. Ушбу тадқиқот ишининг асосий мақсади контраст ошириш усул ва контраст баҳолаш мезон оптимал жуфтлигини аниқлаш.

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https://www.kaggle.com/datasets/soumikrakshit/lol-dataset

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Published

2023-08-28

How to Cite

Mamatov, N., Pulatov, G., & Jalelova, M. (2023). ТАСВИР КОНТРАСТИНИ ОШИРИШ УСУЛИ ВА КОНТРАСТ БАҲОЛАШ МЕЗОН ОПТИМАЛ ЖУФТЛИГИ. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 1(2), 158–167. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v1i225