Steganography in Digital Image Processing
Digital Image Steganography is a process of hide information within image in a secure and recoverable way. Spatial, Transform and Neural Networks methods are the three main methods of digital image steganography. Neural Network methods uses neural network to perform hiding text, while transform method hide information within frequency of image and spatial method modify pixel value of image to embed information.
Image Steganography Software developed using python programming language and tkinter library is used for developing graphical user interface.
Encoding Process of Image Steganography:-
- In first step user have to browse input image to software from local desktop.
- Second step is to encode that particular browse image and user have to write text to hide in that particular image.
- Third step is to set password for that particular image to encrypt so no one can easily decrypt without entering password.
Decoding Process of Image Steganography:-
- First step is to select same image which is encrypted before from desktop.
- In Second step, user have to enter password to decode that particular image which is encrypted previously and click on decode button to decode selected image.
- Final Step will Decode that particular text which is hidden in image.
Image Steganography Using Python and tkinter
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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