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A Review on Image Encryption Technique and to Extract Feature from Image

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Samridhi Singh, H. L. Mandoria

Samridhi Singh and H L Mandoria. A Review on Image Encryption Technique and to Extract Feature from Image. International Journal of Computer Applications 163(1):19-23, April 2017. BibTeX

	author = {Samridhi Singh and H. L. Mandoria},
	title = {A Review on Image Encryption Technique and to Extract Feature from Image},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2017},
	volume = {163},
	number = {1},
	month = {Apr},
	year = {2017},
	issn = {0975-8887},
	pages = {19-23},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017913435},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The security of image data from unauthorized users is important hence image encryption play an important role in hiding information. This survey paper measure up the different encryption techniques for securing multimedia data with objective to give complete review on the various encryption techniques. This paper presents a review of survey literature published from 2008 to 2015 in aspect of different image encryption/decryption techniques with tabular form and the algorithms used to extract the features from the images.


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Encryption, feature extraction, color, texture, algorithms.the correlation between image elements was significantly decreased. Results also show that increasing the number of blocks by using smaller block sizes resulted in a lower correlation and higher entropy [1]. An Image Encryption Approach Using a Combination of Permutation Technique Followed by Encryption: It is a new permutation technique based on the combination of image permutation and a well known encryption algorithm called RijnDael. The original image was divided into 4×4 pixels blocks, which were repositioned into a permuted image using a permutation process, and then the generated image was encrypted using the RijnDael algorithm [2]. Younes results show that the connection between image elements was significantly decreased by using the combination technique and higher entropy was attained.