Joint image compression and encryption using a novel column-wise scanning and optimization algorithm

In this research, a joint image compression and encryption scheme is presented which works for different image dimensions 256X256, 512X512 and 1024X1024 and different image sizes. The proposed scheme is efficient as compression and encryption is done simultaneously which makes computations faster an...

Full description

Saved in:
Bibliographic Details
Main Authors: Chaudhary, Pratibha, Gupta, Ritu, Singh, Abhilasha, Majumder, Pramathesh, Pandey, Ayushi
Format: Conference Proceeding
Language:English
Subjects:
Column-wise scanning
DCT (Discrete cosine transform)
Encryption
Joint Compression
JPEG Compression
optimization algorithm
Quantization
XOR Encryption
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this research, a joint image compression and encryption scheme is presented which works for different image dimensions 256X256, 512X512 and 1024X1024 and different image sizes. The proposed scheme is efficient as compression and encryption is done simultaneously which makes computations faster and secure at the same time. The compression scheme deployed is like JPEG compression but uses column-wise scanning and optimization instead of zigzag scanning. In entropy phase coding, Huffman coding of JPEG compression is replaced with Arithmetic coding. Image encrypted using XOR encryption is unbreakable, as used earlier in one-time pad. Compressed data is XORed with randomly generated number. The proposed scheme is implemented for grayscale images using MATLAB software version 2016a. The experimental results showed that the scheme provides good compression ratio, secures against attacks and takes less computation time. This can be further extended for RGB images of different dimension 256X256, 512X512 and 1024X1024 and different image sizes.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2020.03.218