•  
  •  
 

Scientific Bulletin of Namangan State University

Abstract

Improving the quality of various types of digital images is an actual task. This article presents methods and algorithms for improving the quality of digital images with various types of quality distortions.

First Page

492

Last Page

499

References

1. Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, Prentice Hall. -2002. -793 p. 2. Pratt, William K. Digital image processing : PIKS Scientific inside / William K. Pratt.—, 4th ed. – 2007. – 782 p. 3. Sodiqov S.S., Malikov M.N. Tasvirlarga sonli ishlov berish asoslari. –Toshkent: «Kibernetika» IICHB, 1994. -147 b. 4. Kuxarev G.A. Biometricheskiye sistemi: Metodi i sredstva identifikatsii lichnosti cheloveka. SPb.: Politexnika, 2001. 240 s. 5. Fozilov Sh.X., To‘xtasinov M.T. Yoritilganligi notekis tasvirlarni normallashtirish algoritmlari // «Informatika va energetika muammolari» O‘zb. jurnali. –Toshkent. -2014. -№5, 3-7 b. 6. Amanjot Kaur, Gagandeep. A review on image enhancement with deep learning approach. ACCENTS Transactions on Image Processing and Computer Vision, Vol 4(11) ISSN (Online): 2455-4707., India, 2018. 7. Kartik Ch. Jena, Nilamadhab Dash, N.K.Kamila. A Neural Network based Approach for Image Enhancement using Histogram Equalization. International Journal of Computer Systems (ISSN: 2394-1065), Volume 02– Issue 11, November, India, 2015. 8. www.computergraphics.ru

Erratum

???????

Included in

Education Commons

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.