Work place: Department of Computer Engineering, CT Group of Institutions, Jalandhar, 144001, India
Research Interests: Information-Theoretic Security, Image Processing, Information Security
Sharanjeet Kaur born on January 16, 1992 lives in Punjab, India. She has completed his B-TECH from college of engineering & management, kapurthala in 2013 and pursing MECH from CT group of institute, jalandhar. She has attended various seminar and workshops related research work. Her interest of area is Digital Image Processing, networking & information Security & multimedia.
DOI: https://doi.org/10.5815/ijigsp.2016.09.05, Pub. Date: 8 Sep. 2016
In this paper, our main aim is to compare different video formats and analyze what will be the effect on quality when we hide same secret message in different type of formats such as RGB color videos, .avi (colored and uncompressed video format), and mp4(colored and compressed video format) using edge detection and 7 pair identical match techniques. . In research work, edge areas are used to hide high capacity of secret data behind a video file. As edges are very sharp in nature and their frequency values are changed continuously, which can't be seen by the human visual system (HVS) due to the low probability of being perceived. The analysis is done on the basis of quality metrics such as PSNR, BER and Histogram Analysis for different format video clips. The Experimental results show that proposed algorithm provides resistance against Chi-square statistical attack and visual attacks.[...] Read more.
DOI: https://doi.org/10.5815/ijem.2016.04.02, Pub. Date: 8 Jul. 2016
In this paper, our main motive to compare different video formats and also analyze what will be the effect on quality when we embed same watermark in different type of formats such as .avi (colored and uncompressed video format), mp4(colored and compressed video format) & grey color image using discrete wavelet transform & singular value decompositions techniques. In research work, HH bands are used to embed the watermark into video because this band are less sensitive to human eyes and not easily detected or captured by human visual system. It also helps to improve the quality of video. The analysis is done on the basis of quality metrics such as PSNR, BER & MSE for different format video clips.[...] Read more.
Subscribe to receive issue release notifications and newsletters from MECS Press journals