ZLBM: zero level binary mapping technique for video
Received: 24 December 2016 / Revised: 6 June 2017 / Accepted: 12 June 2017 /
Published online: 13 July 2017
Springer Science+Business Media, LLC 2017
Abstract In recent days, providing security to data is a crucial and critical task in many image
processing applications. Specifically, video security is an important and demanding concept.
For this purpose, some of the embedding, encoding and decoding techniques are mentioned in
existing works, but it has some drawbacks such as increased time complexity, computational
complexity and memory consumption. Moreover, it does not provide high security during
video transmission. To overcome all these issues, a new technique, namely, Zero Level Binary
Mapping (ZLBM) is proposed in this paper for video embedding scheme. The motivation of
this paper is to provide high security during video transformation by using the video stega-
nography technique. At first, the cover and stego videos are given as the inputs and it will be
converted into the video frames for further processing. Here, the Fuzzy Adaptive Median
Filtering (FAMF) technique is employed to remove the impulse noise in the video frames.
Then, the pixels in the filtered frames are grouped by using the block wise pixel grouping
technique. After that, the frames are embedded with the help of ZLBM technique and encoded
based on the patch wise code formation technique. On the receiver side, the inverse ZLBM and
block wise pixel regrouping techniques are applied to get the original cover and stego videos.
The novel concept of this paper is the use of ZLBM and patch wise code formation techniques
for video embedding and compression. The main advantages of the proposed system are high
security, good quality and reduced complexity. The experimental results evaluate the perfor-
mance of the proposed video embedding technique in terms of Peak Signal-to-Noise Ratio
(PSNR), Mean Squared Error (MSE), Compression Ratio (CR), Bits Per Pixel (BPP) and
Signal-to-Noise Ratio (SNR).
Keywords Fuzzy adaptive median filter (FAMF)
level binary mapping
Block wise pixel grouping
Patch wise code formation
and pixel regrouping
Multimed Tools Appl (2018) 77:13225–13247
* K. Rajalakshmi
Department of Computer Applications, Alagappa University, Karaikudi, Tamil Nadu 600006, India