DocumentCode :
3380970
Title :
SCAN based lossless image compression and encryption
Author :
Maniccam, S.S. ; Bourbakis, N.G.
Author_Institution :
Dept. of Electr. Eng., Binghampton Univ., NY, USA
fYear :
1999
fDate :
1999
Firstpage :
490
Lastpage :
499
Abstract :
This paper presents a new methodology which performs both lossless compression and encryption of binary and gray scale images. The compression and encryption schemes are based on SCAN patterns generated by the SCAN methodology. The SCAN is a formal language based two dimensional spatial accessing methodology which can efficiently specify and generate a wide range of scanning paths or space filling curves. This paper presents compression specific SCAN language, compression and decompression algorithms, encryption and decryption algorithms, and test results of the methodology
Keywords :
cryptography; formal languages; image coding; SCAN based lossless image compression; SCAN based lossless image encryption; SCAN patterns; binary images; compression algorithms; decompression algorithms; decryption algorithms; encryption algorithms; formal language based 2D spatial accessing methodology; gray scale images; scanning paths; space filling curves; Compression algorithms; Context modeling; Cryptography; Filling; Formal languages; Image coding; Production; Testing; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-0446-9
Type :
conf
DOI :
10.1109/ICIIS.1999.810321
Filename :
810321
Link To Document :
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