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Anitha Rani, A.
- Splitting Histogram Equalization Based Secure Watermark Detection
Authors
1 Excel Engineering College, Anna University, Chennai, Tamilnadu, IN
2 Electronics and Communication Department, Excel Engineering College, Anna University, Chennai, Tamilnadu, IN
Source
Biometrics and Bioinformatics, Vol 6, No 8 (2014), Pagination: 213-216Abstract
Compressive Sensing (CS) unifies sampling and compression in order to reduce the data acquisition and computational load at sensors, at the cost of increased computation at the intended receiver. It is identified that a secret key is used in the CS algorithm for embedding and detecting the watermark and extracting the information. It is then proposed by using splitting histogram equalization method to get a watermarked image and then implemented in Field Programming Gate Array (FPGA).
Keywords
Compressive Sensing, Data Holders, Field Programming Gate Array, Watermark Owners.
- A Digital Watermarking Algorithm for Video Authentication in H.264
Authors
1 Department of ECE, Excel Engineering College, Pallakapalyam, IN
Source
Biometrics and Bioinformatics, Vol 10, No 2 (2018), Pagination: 30-33Abstract
A visible watermark is a secondary translucent image overlaid into the primary image and appears visible to a viewer on a careful inspection. The invisible watermark is embedded in such a way that the modification made to the pixel value is perceptually not noticed, and it can be recovered only with an appropriate decoding mechanism. In this brief, we present a new VLSI architecture that can insert invisible or visible watermarks in images in the discrete cosine transform domain. The proposed watermarking system features low power consumption, low cost implementation, high processing speed and reliability.
Keywords
Watermarking, H.264. Low Power Consumption.References
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