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Designing an Efficient Image Encryption-Then Compression
System via Prediction Error Clustering and Random
Permutation
ABSTRACT:
In many practical scenarios, image encryption has to be conducted prior to image
compression. This has led to the problem of how to design a pair of image
encryption and compression algorithms such that compressing the encrypted
images can still be efficiently performed. In this paper, we design a highly efficient
image encryption-then-compression (ETC) system, where both lossless and lossy
compressions are considered. The proposed image encryption scheme operated in
the prediction error domain is shown to be able to provide a reasonably high level
of security. We also demonstrate that an arithmetic coding-based approach can be
exploited to efficiently compress the encrypted images. More notably, the
proposed compression approach applied to encrypted images is only slightly
worse, in terms of compression efficiency, than the state-of-the-art lossless/lossy
image coders, which take original, unencrypted images as inputs. In contrast, most
of the existing ETC solutions induce significant penalty on the compression
efficiency.

2. EXISTING SYSTEM:
 Existing ETC solutions induce significant penalty on the compression
efficiency.
DISADVANTAGES OF EXISTING SYSTEM:
 More Prediction error.
 Lossy Image Compression.
PROPOSED SYSTEM:
 In this paper, we design a highly efficient image encryption-then-compression
(ETC) system, where both lossless and lossy compression are
considered.
 The proposed image encryption scheme operated in the predic tion error
domain is shown to be able to provide a reasonably high level of security.
 We also demonstrate that an arithmetic coding-based approach can be
exploited to efficiently compress the encrypted images.
ADVANTAGES OF PROPOSED SYSTEM:
 The ability of controlling the lowest achievable rate by the content owner
may be treated as an advantageous feature of the proposed ETC scheme,
since the quality of the decoded image at receiver side is guaranteed, though

3. the manipulation of the encrypted data is completely handled by an untrusted
party.
 Attack model applicable to our proposed encryption scheme is the
ciphertext-only attack in which the attacker can only access the ciphertext
and attempts to recover the original image.
 Our proposed compression method on encrypted images is very close to that
of the state- of-the-art lossless/lossy image codecs, which receive original,
unencrypted images as inputs
SYSTEM ARCHITECTURE:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:

4.  System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour.
 Mouse : Logitech.
 Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
 Operating system : Windows XP/7.
 Coding Language : ASP.net, C#.net
 Tool : Visual Studio 2010
 Database : SQL SERVER 2008
REFERENCE:
Jiantao Zhou,Xianming Liu, Oscar C. Au, and Yuan Yan Tang, “Designing an
Efficient Image Encryption-Then-Compression System via Prediction Error
Clustering and Random Permutation”, VOL. 9, NO. 1, JANUARY 2014.