Three Dimensional Adaptive Pixel Pair Matching for Image Steganography
碩士 === 國立臺北科技大學 === 電子工程系 === 107 === Image steganography is a technique of hiding secret data in the cover image, which provides a security and confidentiality in image transmission. Least significant bit (LSB) is a one-dimensional image hiding technology. It is simple but fragile. Adaptive pixel p...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/668fdp |
| Summary: | 碩士 === 國立臺北科技大學 === 電子工程系 === 107 === Image steganography is a technique of hiding secret data in the cover image, which provides a security and confidentiality in image transmission. Least significant bit (LSB) is a one-dimensional image hiding technology. It is simple but fragile. Adaptive pixel pair matching (APPM) is a two-dimensional image hiding technology, which computed a two-dimensional characteristic value by using two pixels. And then we embed a secret data into the characteristic value to increases the capacity and image quality.
This thesis proposes a three-dimensional adaptive pixel pair matching method based on two-dimensional APPM technology, which computed a three-dimensional characteristic value by using three pixels. We scramble a secret image by Arnold transform to increase the security before embedding the secret image into the three-dimensional characteristic value. Experimental results show that proposed method can reduce the mean square error (MSE) about 0.08, and increase the peak signal to noise ratio (PSNR) about 0.28 dB than that of APPM technique. Also the recovered secret image has a good subjective effect on robustness.
|
|---|