Video Steganography Technique Based on Enhanced Moving Objects Detection Method

Video steganography has become a popular option for protecting secret data from hacking attempts and common attacks on the internet. However, when whole video frame(s) are used to embed data, this may lead visual distortion.
 Materials Methods:
 This work is an attempt hide sensitive image inside moving objects in based separating object background of frame, selecting arranging them according object's size embedding image. The proposed approach reverses bits uses XOR technique between reversed detected embedding. provides more security imperceptibility as embedding, so it difficult notice changes instead using area video. Further development been done by applying spatial model combination with statistical model. Additional LSB styles have also applied evaluate ability detecting objects. In addition evaluating robustness against different such salt pepper noise median filtering.
 Results:
 experimental results showed better quality stego PSNR values exceeding 70 dB, indicates that method works without causing much distortion original transmitted message.
 Conclusion:
 proof can successfully detect Also, was hidden updates rather than static region