To enhance the security of the digital image information transmitted through Internet, this paper proposes an image scrambling algorithm based on spiral filling of bits. This algorithm first reads the pixel values of all the odd-number lines in the images successively from top to bottom and then does the same to the even-number lines. All results will be saved in an onedimensional array. All the elements in the array are transformed into binary digits and saved in a one-dimensional array that is 8 times longer than the previous one. In this new array every element only saves one binary digit. The bit sequences corresponding to the image oddnumber lines in this array are rearranged in an inverted order. The arrays disposed into an inverted order successively fill a matrix whose line number is the same as the old image and column number is 8 times of the old image in a direction of heliciform. Then a new matrix is generated. Lastly every 8 elements in this new matrix are considered as 8 binary digits and are transformed into decimal digits. That is how image scrambling is conducted. This algorithm is simple and easy to be realized. Abundant experimental results have shown that the algorithm has well scrambling effect and is able to recover image without distortion.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.