İmge İçine Bilgi Gizlemede Kullanılan LSB Yöntemlerinin Karşılaştırması

Nurdan SARAN; Cem OLCAY

Article Details

İmge İçine Bilgi Gizlemede Kullanılan LSB Yöntemlerinin Karşılaştırması

Authors:

Nurdan SARAN | Cem OLCAY

Publisher:

Cankaya University

Main Topics:

Applied physics

Journal:

Cankaya University Journal of Science and Engineering 2013 Vol.10 Issue 1

Document Type:

Article

Publication Date:

4/2013

Document Language:

Turkish

Document ID (Org No.):

2000903427

Frequency:

Bi-Annual

eISSN:

2564-7954

Abstract:

 


Digital image steganography techniques deal with three subjects lossy/lossless
compressed images, uncompressed images. Steganography techniques embed secret data
pixel directly into uncompressed and lossless compressed cover images. The most popular
data hiding method is, changing pixels’ left most digits or last two, known as Least
Significant Bit (LSB). Lossless image formats like .bmp, .png, and 8-bit gray-scale .gif are
usable for LSB methods. LSB embedding method is not usable for palette images because
of changing just last bit of a pixel causes a big difference on image. After embedding all of
secret message to palette image, Human Visual System (HVS) can detect manipulations
on image. In this study, we compare some of the most popular LSB techniques; Chan’s
algorithm [3], 2/3 efficient embedding [4], matrix embedding for large payloads [5], image
blocks method [6] and pixel-value differencing method [7]-[8].

.

Article Details

İmge İçine Bilgi Gizlemede Kullanılan LSB Yöntemlerinin Karşılaştırması

Authors: Nurdan SARAN | Cem OLCAY

Publisher: Cankaya University

Main Topics: Applied physics

Journal: Cankaya University Journal of Science and Engineering 2013 Vol.10 Issue 1

Document Type: Article

Publication Date: 4/2013

Document Language: Turkish

Document ID (Org No.): 2000903427

Frequency: Bi-Annual

eISSN: 2564-7954

Issues

Authors:

Nurdan SARAN | Cem OLCAY

Publisher:

Cankaya University

Main Topics:

Applied physics

Journal:

Cankaya University Journal of Science and Engineering 2013 Vol.10 Issue 1

Document Type:

Article

Publication Date:

4/2013

Document Language:

Turkish

Document ID (Org No.):

2000903427

Frequency:

Bi-Annual

eISSN:

2564-7954