A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images

In this paper, a cipher based-on chaotic neural network is proposed, which is used to encrypt JPEG2000 encoded images. During the image encoding process, some sensitive bitstreams are selected from different subbands, bit-planes or encoding-passes, and then are completely encrypted. The algorithm has high security with low cost; it can keep the original file for-mat and compression ratio unchanged, and can support direct operations such as image browsing and bit-rate control. These properties make the cipher very suitable for such real-time encryption applications as image transmission, web imaging, mobile and wireless multimedia communication.