Compression-Encryption Model for Digital Images Based on GAN and Logistic Map

Author(s):  
Mulkiah ◽  
Suprapto ◽  
Anny Kartika Sari
Keyword(s):  
2018 ◽  
Vol 7 (3.12) ◽  
pp. 1222
Author(s):  
Rohith S ◽  
B K Sujatha

In this research work a novel idea of compressed, encrypted and encoded watermark embedding scheme for digital images is proposed. Initially watermark is compressed using Huffman encoder. Compressed watermark is encrypted using combined binary key sequence {Ki} derived from sequence of logistic map and Lozi map. The compressed and encrypted binary watermark is encoded using (n,1) repetition code. This compressed, encrypted and encoded binary watermark is embedded in alternate locations of cover image pixels using of Least Significant Bit (LSB) and Second Least Significant Bit (SLSB). To study the watermarked image quality, parameters such as Signal to Noise Ratio (SNR) and Mean Square Error (MSE) are used.  Also performance of the proposed system is compared with uncompressed, encrypted, encoded watermark embedding scheme. There is a significant improvement in MSE, SNR of watermarked image, when compressed watermark embedding scheme is compared to uncompressed watermark embedding scheme.  


1998 ◽  
Vol 27 (2) ◽  
pp. 93-96 ◽  
Author(s):  
C H Versteeg ◽  
G C H Sanderink ◽  
S R Lobach ◽  
P F van der Stelt

1999 ◽  
Vol 28 (2) ◽  
pp. 123-126 ◽  
Author(s):  
E Gotfredsen ◽  
J Kragskov ◽  
A Wenzel
Keyword(s):  

Author(s):  
D. P. Gangwar ◽  
Anju Pathania

This work presents a robust analysis of digital images to detect the modifications/ morphing/ editing signs by using the image’s exif metadata, thumbnail, camera traces, image markers, Huffman codec and Markers, Compression signatures etc. properties. The details of the whole methodology and findings are described in the present work. The main advantage of the methodology is that the whole analysis has been done by using software/tools which are easily available in open sources.


2020 ◽  
Vol 6 (4) ◽  
pp. 183-210
Author(s):  
Erin Nunoda

This article examines YouTube videos (primarily distributed by a user named Cecil Robert) that document so-called dead malls: unpopulated, unproductive, but not necessarily demolished consumerist sites that have proliferated in the wake of the 2008 recession. These works link digital images of mall interiors with pop-song remixes so as to re-create the experience of hearing a track while standing within the empty space; manipulating the songs’ audio frequencies heightens echo effects and fosters an impression of ghostly dislocation. This article argues that these videos locate a potentiality in abandoned mall spaces for the exploration of queer (non)relations. It suggests that the videos’ emphasis on lonely, unconsummated intimacies questions circuitous visions of the public sphere, participatory dynamics online, and the presumably conservative biopolitics (both at its height and in its memorialization) of mall architecture.


2010 ◽  
Vol 69 (19) ◽  
pp. 1681-1702
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
A. V. Popov ◽  
P. Ye. Eltsov ◽  
Benoit Vozel ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document