Open AccessENCRYPTION AND DECRYPTION USING IMAGE PROCESSING TECHNIQUES
Author(s) -
Raaz Maheshwari
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v05i12.037
Subject(s) - scrambling , encryption , computer science , binary number , discrete wavelet transform , computer vision , artificial intelligence , pixel , robustness (evolution) , arithmetic , rendering (computer graphics) , algorithm , theoretical computer science , computer graphics (images) , wavelet , mathematics , wavelet transform , computer security , biochemistry , chemistry , gene
Images consists various kinds of informationwhich can be used for encryption and decryption ofmessages through them. This paper proposes a photographencryption and decryption method to encrypt a covertsnapshot with the aid of combining the Arnold transformsystem within the area and decrypting the duvetphotograph through combining inverse Arnold become.First, grow to be a cover snapshot into subparts whichconsists of eight binary pictures with the aid of decimalvalue to eight-digit binary operation. Then, change intoeight binary snap shots into sub-blocks of eight binaryscrambled pixel by means of the Arnold change into,respectively. And then, recombine the sequence of theeight binary scrambled matrices right into a scrambledmatrix with 256 grey phases in keeping with the specialmembership. Discrete Wavelet Transform (DWT) is usedto perform picture compression on the input picture andsecretly hidden photograph which is finished making useof alpha mixing. Sooner or later, derive an encryptedimage from the scrambled photograph with the aid of theHartley turn out to be. Second, decode the encryptedpicture making use of inverse Arnold develop. InverseDWT is performed to regain the compressed pictures.Simulations indicate that the proposed approach has abigger photograph scrambling measure, more protectionand has the robustness against occlusion and speckle noiseattacks.