10.07.2015 Views

A more secure steganography based on adaptive pixel-value ...

A more secure steganography based on adaptive pixel-value ...

A more secure steganography based on adaptive pixel-value ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Multimed Tools Appl(a) Adaptive-edge method(b) Our proposed method with T = 4Fig. 2 Illustrati<strong>on</strong> of the difference between the stego images using <strong>adaptive</strong>-edge approach [24]andour proposed method with the same embedding capacity of 70% bpp. For display purpose, we showsthe c<strong>on</strong>tour lines of the zoom-in smooth regi<strong>on</strong> in the stego using Matlab with default settings. It canbe clearly seen that many local minimal/maximal regi<strong>on</strong>s appear after using <strong>adaptive</strong>-edge approach,which will lead to noise-like blocking effects in the corresp<strong>on</strong>ding positi<strong>on</strong>s. While our method canleave those regi<strong>on</strong>s as they are in the cover image. Example: NRCSMI01029 in NRCS database,Zoom-in locati<strong>on</strong>: (96 : 125, 701 : 740)security evaluati<strong>on</strong>, we employ the same image subset as shown in the table for allthe <str<strong>on</strong>g>steganography</str<strong>on</strong>g> approaches for a fair comparis<strong>on</strong> envir<strong>on</strong>ment.4.3 Objective qualityIn above subsecti<strong>on</strong>, we show that our proposed method can embed most secretbits into edge regi<strong>on</strong>s <strong>adaptive</strong>ly, and will not produce noise-like blocking artifactsin those smooth regi<strong>on</strong>s. Therefore, the subjective quality of the stego images is

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!