GCF, HARALIK HÁM RMS SÚWRET KONTRASTIN ETALONSIZ BAHALAW KÓRSETKISHLERI

Avtorlar

  • Mamatov N.S.

    Tashkent irrigatsiya hám awıl xojalıǵın mexanizatsiyalaw injenerleri institutı

  • Jalelova M.M.

    Milliy izertlew universiteti

  • Sh.X.Tojiboeva

    Namangan mámleketlik universiteti

Gilt sózler: digital image, contrast, index, contrast enhancement methods, RMS, GCF, Haralik

Annotaciya

In this article, methods of evaluating the contrast, which is one of the parameters that determine the quality of the image, are considered without an objective standard. Benchmark-free methods are important in automating the process of image processing, because in practical problems there will be no benchmark image. GCF (global contrast factor), Haralik contrast and RMS (root mean square) criteria were selected based on experiments among these non-standard methods and were confirmed to give good results compared to other criteria.

Paydalanılǵan ádebiyatlar

1. Голуб Ю.И., Старовойтов Ф.В. Исследование локальных оценок контраста цифровых изображений при отсутствии эталона // Системный анализ и прикладная информатика. 2019. №2. URL: https://cyberleninka.ru/article/n/issledovanie-lokalnyh-otsenok-kontrasta-tsifrovyh-izobrazheniy-pri-otsutstvii-etalona.

2. Beghdadi, Azeddine & Qureshi, Muhammad & Amirshahi, Seyed Ali & Chetouani, Aladine & Pedersen, Marius. (2020). A Critical Analysis on Perceptual Contrast and Its Use in Visual Information Analysis and Processing. IEEE Access. PP. 1-1. 10.1109/ACCESS.2020.3019350.

3. Bex P.J. and Makous W. ‘‘Spatial frequency, phase, and the contrast of natural images,’’ J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 19, no. 6, -Р.1096–1106, 2002.

4. Gade P. & Walsh, P. (2013). Use of GCF aesthetic measure in the evolution of landscape designs. IJCCI 2013 - Proceedings of the 5th International Joint Conference on Computational Intelligence. 83-90.

5. https://www.kaggle.com/datasets/tolgadincer/labeled-chest-xray-images

6. https://www.kaggle.com/datasets/akhileshdkapse/super-image-resolution

7. https://www.kaggle.com/datasets/andrewmvd/face-mask-detection