IEEE 2014 JAVA IMAGE PROCESSING PROJECTS Designing an-efficient-image encryption then compression system via prediction error clustering and random permutation
- 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:[email protected] 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.