Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Yellapu, Girish Ram Pradeep"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Digital Image Lossy Encryption and Decryption
    (Department of Electronics and Communication Engineering, NITS, 2022) Yellapu, Girish Ram Pradeep
    In today's environment, image encryption and decryption are extremely We a medium to transport image data from one location to another. However, the chances of data theft are higher in the medium range. To get around this, Image encryption has to be used. As the usage of digital systems for sending and storing photos grows, the question of how to safeguard the confidentiality, integrity, and authenticity of photographs becomes increasingly crucial. Various approaches for encrypting images to make images more secure are from time to time. This thesis two methods: the mathematical cube roots approach and the mathematical logarithms method. Images will encrypted as well as compressed using these algorithms. To represent digital images, a considerable number of bits were necessary, and their canonical representations typically contain significant re- dundancy. By using these redundancies, image algorithms lower the number of bits to describe a picture. The lossy compression method utilised here avoids these redundancies. This thesis included all of these approaches and progressions. Using these picture quality in less area, compression quantity, and compression are accomplished, resulting in a more reliable image transmission with information security.

DSpace software copyright © 2002-2026 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback