DCT-based digital watermarking:

• Programs:

  • markGen.m    Generate the pseudo-random watermark sequence
  • markCast.m    Cast the watermark into the original
  • markDet.m    Detect the existence of the watermark
  • markAttack.m    Verify the robustness of the watermark

• Functions:

  • toZigzag.m    Re-arrange the DCT into a vector by the zig-zag scan
  • invZigzag.m    Re-arrange the vector into DCT block by inverse zig-zag scan

DCT-based Data hiding:

• Programs:

  • dataHide.m    Hide the logo image into the original
  • dataExtract.m    Extract the logo image from the original
  • findData.m    Verify the robustness of the data hiding method

• Functions:

  • embed.m    Embed the information bit into the quantized DCT coefficients
  • readEmbed.m    Extract the information bit from the quantized DCT coefficients

DWT-based digital watermarking:

• Programs:

  • compress1.m     Create watermarked image and different levels of JPEG compression for the Lena image.
  • compress2.m     Create watermarked image and different levels of JPEG compression for the Mandril image.
  • compress3.m     Create watermarked image and different levels of JPEG compression for the Man image.
  • multiple1.m     Image "Lena" with multiple attacks.
  • multiple2.m     Image "Mandril" with multiple attacks.
  • multiple3.m     Image "Man" with multiple attacks.
  • project1.m     embedd watermark to the Lena image and attack it with filtering, cropping, and adding noise.
  • project1_bior.m     same as project1, but with the Biorothogonal wavelet function.
  • project1_haar.m     same as project1, but with the Haar wavelet function
  • project2_db.m     same as project1, but with the Mandril image.

Presentation (Slides are prepared together)