Digital Image Lossy Encryption and Decryption
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Date
2022
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Department of Electronics and Communication Engineering, NITS
Abstract
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.