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Steganography on JPEG Image for Minimum Energy

Anju Vincent, M. Roshni Thanka, Ansu Liz Thomas

Abstract


JPEG images are having small capacity to hide information. It’s because of the limited redundancy. The high capacity steganography scheme for JPEG is thus introduced to increase that capacity .The main objective of this paper is to increase the hiding capacity by solving the problems due to limited redundancy and bitstream truncation .After that image compression will be done for the purpose of sending or transferring the data..The system is used to deliver data to the intended receiver reliably and secretly. Quantization may cause information loss in JPEG compression. So JPEG compression computations are mapped using the minimum integer and fractional bit-widths needed in view of other approximations inherent in the compression process and choice of image quality parameters. Range analysis determines the integer bit widths and precision analysis determines the fractional bit widths needed for the JPEG compression. Optimized JPEG implementations reduces the amount of energy consumed for the compression process and results in larger compressed image files.

Keywords


Image Coding, Fixed Point Arithmetic, JPEG Compression, Information Embedding.

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References


Dr.Ekta Walia,Payal Jain,Navdeep“An Analysis Of LSB& DCT Based Steganography”. Vol 10.Issue 1,April 2010.

C. Sadler and M. Martonosi, “Data compression algorithms for energy constrained devices in delay tolerant networks,” in Proc. ACM Conf. Embedded Networked Sensor Systems, 2006, pp. 265–278.

K. Barr and K. Asanovic, “Energy-aware lossless data compression,”ACM Trans. Comput. Syst., vol. 24, no. 4, pp. 250–291, Aug. 2006 J.

C.Taylor and S. Dey, “Adaptive image compression for wireless multimedia communication,” in Proc. IEEE Int. Conf. Communications, 2001, vol. 6, pp. 1925–1929.

Liang Zhang, Haili Wang, and Renbiao Wu, Senior Member ,IEEE “A high capacity steganography scheme for JPEG2000 baseline system” IEEE transactions on image processing, vol 18,NO. 8,august 2009

Po –Chyi ,Su and C-C jay,Kuo ”Stegnography in JPEG2000 compressed images”

Dong-u Lee,Hyungjin Kim,Mohammad Rahimi,Doborah Estrin,John D Villasenor “Energy- Efficient Image Compression for Resource-Constrained Platforms”IEEE Transactions on image processing vol 18,no 9 pp 2100-2112 september2009

C.K Chan and L.M Cheng “ Hiding Data In Images By Simple LSB Substitution”

Charilos Christopolous Senior Member,Athanassious Skodras Senior Member,IEEE,and Touradj Ebrahimi Member ,IEEE.”The JPEG2000 Still Image Coding System: An Overviews ”.VOL 46.NO 4.November 2000


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