Data hiding in digital images using a partial optimization technique based on the classical LSB method

Feyzi AKAR; Yıldıray YALMAN; Hüseyin Selçuk VAROL

Article Details

Data hiding in digital images using a partial optimization technique based on the classical LSB method

Authors:

Feyzi AKAR | Yıldıray YALMAN | Hüseyin Selçuk VAROL

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue Sup.1, pp.2037-2047

Document Type:

Article

Publication Date:

11/2012

Document Language:

Turkish

Document ID (Org No.):

2000743486

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

This paper presents a new partial optimization approach for the least significant bit  (LSB) data hiding technique that can be used for protecting any secret  information or data. A deterioration effect of as little as possible in an  image is intended using the LSB data hiding technique and this is well  realized utilizing the proposed partial optimization approach achieving the  same data embedding bit rates. In the proposed approach, all of the image  pixels are classified into 8 regions and then the 8 distinct ordering  codings are applied to each region by the developed partial optimization  encoder. Thus, the most effective outcome that has been obtained from the 8  regions means that the number of the altered bits is kept minimized. Hence,  the minimal values that have been attained from the 8 regions enable  decoding that ensures relatively small distortions on the extracted cover  image.

 

This paper presents a new partial optimization approach for the least significant bit  (LSB) data hiding technique that can be used for protecting any secret  information or data. A deterioration effect of as little as possible in an  image is intended using the LSB data hiding technique and this is well  realized utilizing the proposed partial optimization approach achieving the  same data embedding bit rates. In the proposed approach, all of the image  pixels are classified into 8 regions and then the 8 distinct ordering  codings are applied to each region by the developed partial optimization  encoder. Thus, the most effective outcome that has been obtained from the 8  regions means that the number of the altered bits is kept minimized. Hence,  the minimal values that have been attained from the 8 regions enable  decoding that ensures relatively small distortions on the extracted cover  image.

Article Details

Data hiding in digital images using a partial optimization technique based on the classical LSB method

Authors: Feyzi AKAR | Yıldıray YALMAN | Hüseyin Selçuk VAROL

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue Sup.1, pp.2037-2047

Document Type: Article

Publication Date: 11/2012

Document Language: Turkish

Document ID (Org No.): 2000743486

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Feyzi AKAR | Yıldıray YALMAN | Hüseyin Selçuk VAROL

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue Sup.1, pp.2037-2047

Document Type:

Article

Publication Date:

11/2012

Document Language:

Turkish

Document ID (Org No.):

2000743486

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632