JELE_V4_N1_RP1 Binary Morphology With Image Compression And Cryptography Ponshankar B. Swaranambigai R. Journal on Electronics Engineering 2249 – 0760 4 1 11 17 Binary Image Processing (BIP), Mathematical Morphology (MM), Encryption and Decryption Ponshankar and his co-author Swaranambigaidesigned a Mathematical Morphology (MM) method for binary images, and extended thatfor applying to many different image representations.The stall-free low-complexity architecture has been proposed for taking advantage of the morphological duality principle and Structuring Element (SE) decomposition. The simulation results are more convenient than the mixed grain architectureand providean efficient blind binary image authentication scheme. September – November 2013 Copyright © 2013 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2509