Page 25 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

Chapter 1 Congruence of deep learning in biomedical engineering 13

in a methodology that cannot be comprehended. Steganography
is used for many purposes: the secure correspondence of private
data, insight into organizations, significant data implanted in a
photo on an identity card by own copyright control of provisions,
clinical imaging where a patient’s data are inserted in a picture.
The contrast between these two strategies is that cryptography
keeps the message content concealed, whereas steganography
has the resource of a shrouded message.

3.2.1 Resolution of steganography
Steganography is secret correspondence that conceals a
reminder in another entity, which is entirely unexpected from
another strategy, for example, cryptography, the capacity to
shroud text. This makes a message incomprehensible by a third
party; however, it does not conceal the endurance of the con-
cealed message.

3.2.2 Types of steganography
In view of transporter media there are different kinds of steg-
anography, for example, steganography in pictures, steganogra-
phy in sounds, and steganography in videos.

3.2.3 Image steganography
In this procedure a picture is taken as the spread article. Either
text or a picture can be concealed in another picture. In this
system, pixel sums are different to conceal the information.

3.2.4 Image steganography method
There are two sorts of technique: spatial domain and trans-
form domain steganography.

3.3 Steganography techniques
3.3.1 Spatial domain technique
In the spatial domain steganography method, the data are
legitimately embedded or covered up. In this, the most conjoint
and unassertive steganography strategy is the least significant
bit (LSB). In the LSB technique the top-secret messages are
inserted in the lower critical piece before installing the pixel,
which is adjusted by data.

3.3.1.1 Least significant bit technique
This substitution is a general and simple strategy for installing
secret information in the spread picture.