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

Feyzi AKAR; Yıldıray YALMAN; Hüseyin Selçuk VAROL

Makale detayları

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

Yazarlar:

Feyzi AKAR | Yıldıray YALMAN | Hüseyin Selçuk VAROL

Yayıncı:

TUBITAK

Dergi:

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

Belge Tipi:

Makale

Yayın Tarihi:

11/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743486

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

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.

Makale detayları

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

Yazarlar: Feyzi AKAR | Yıldıray YALMAN | Hüseyin Selçuk VAROL

Yayıncı: TUBITAK

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

Belge Tipi: Makale

Yayın Tarihi: 11/2012

Belge Dili: Türkçe

Document ID (Org No.): 2000743486

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Feyzi AKAR | Yıldıray YALMAN | Hüseyin Selçuk VAROL

Yayıncı:

TUBITAK

Dergi:

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

Belge Tipi:

Makale

Yayın Tarihi:

11/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743486

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632