Algorithms For Improving The Quality Of Images Using Histogram Method
Keywords:
pixels, gray level, colorless images, algorithms, JPEG file size, digital processing.Abstract
This article aims to improve the quality of images taken in foggy and rainy conditions, which are common today and prepare them for digital processing. During the research, the method of removing noise in images using gray scale pixel substitution is explained in detail and an algorithm is developed.
References
Abduganiev, M., Azimov, R., & Muydinov, L. (2022, October). Digital Processing Algorithms of Biomedical Signals Using Cubic Base Splines. In International Conference on Intelligent Human Computer Interaction (pp. 18-26). Cham: Springer Nature Switzerland.
Завьялов Ю.С., Квасов Б.И., Мирошниченко В.Л. Методы сплайн-функций. Москва: Наука, 1980. - 352 с.
Babur, Z. M. (2023, April). Digital Processing Algorithms of Biomedical Signals Using Cubic Base Splines. In Intelligent Human Computer Interaction: 14th International Conference, IHCI 2022, Tashkent, Uzbekistan, October 20–22, 2022, Revised Selected Papers (Vol. 13741, p. 18). Springer Nature.
Rakhimjonovich, A. B., & Mukhriddin, A. A. (2023). DIGITAL PROCESSING OF BIOMEDICAL SIGNALS USING PIECE-POLYNOMIAL METHODS. Central Asian Research Journal for Interdisciplinary Studies (CARJIS), (8 (20)), 510-518..
Зайнидинов, Х. Н., Азимов, Б. Р., & Абдуғаниев, М. М. Ў. (2022). ФУНКЦИЯЛАРНИ ТИКЛАШДА БЎЛАК-ПОЛИНОМИАЛ УСУЛЛАР ТАХЛИЛИ. Academic research in educational sciences, 3(5), 1092-1101.
Abduganiev, M., Azimov, R., Muydinov, L. (2023). Digital Processing Algorithms of Biomedical Signals Using Cubic Base Splines. In: Zaynidinov, H., Singh, M., Tiwary, U.S., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2022. Lecture Notes in Computer Science, vol 13741. Springer, Cham. https://doi.org/10.1007/978-3-031-27199-1_3
Zaynidinov H.N., Azimov B.R., Abdug‘aniyev M.M. - “Splayn usullari asosida tibbiyot tasvirlariga raqamli ishlov berish dasturi” mualliflik guvohnoma DGU 2022 6051, 2022;
Digital Image Processing- S Jayaraman, S. Essakkirajan, T. Veerakumar-TMH,2010
Andreas K., Mongi A., “Digital Color Image Processing”, John Villey & Sons, 2008
C. R. González and E.Woods, Digital Image Processing. Englewood Cliffs, NJ: Prentice Hall, 1992.
Rafael G., Richard V., “Digital Image Processing”, Prentice Hall, 3rdeD., 2008
Konstantinos N. P., Anastasios N. V., ”Color Image Processing and Applications”, SpringerVerlag Berlin Heidelberg 2000.
Haralick R., Shapiro L., “Image Segmentation Techniques”, Computer Vision Graphics and Image Processing, 29,100–132, 1985.
Charu C. A., Chandan K. R., “Data Clustering Algorithms and Applications”, Chapman & Hall/CRC, 2014.
Pratt, V. K. Digital Image Processing, 3rd edn, chapter 16. John Viley and Sons Inc., 2001.
Castleman, K. R. Digital Image Processing, chapter 11. Prentice-Hall, 1996.
Young, I. T., Gerbrands, J.J and van Vliet, L. J. Fundamentals of Image Processing, 2nd edn, chapter 9. Delft University of Technology, The Netherlands, 1998.
Svinin S.F. Teoriya i metodы formirovaniya vыborok signalov s i finitnыmi spektrami. -Spb.: Nauka, 2016. -171 s.
Gonzalez, R. C. and Voods, R. E. Digital Image Processing, 2nd edn, chapter 4, Prentice-Hall, 2002.
Digital Image Processing using Matlab, Rafeal C. Gonzalez, Richard E. Woods, Steven L.Eddins, Pearson Education.
Fundamentals of Digital Image Processing-A.K. Jain,PHI,1989
Digital Image Processing and computer Vision-Somka, Halavac, Boyle - Cengage learning (Indian edition)2008,
Digital Image Processing and analysis-human and computer vision application with using CVIP Tools – Scotte Umbaugh, Second Edition, CRC Press,2011
E. Peli, “Contrast in complex images,” J. Opt. Soc. Amer., vol. 7, no. 10, pp. 2032–2040, 1990.
