Rate-distortion unequal error protection for fractal image codes

Fractal image codes are very sensitive to bit errors because the decoding of a block is dependent not only on the code information associated to this block but also on the code information associated to other blocks. We analyze the sensitivity of a fractal code to transmission errors in a binary symmetric channel. We provide two rate-distortion unequal error protection techniques that allocate the code bits to protection classes in a nearly optimal way. We give an implementation for BCH and RCPC channel codes and show that RCPC codes are preferable. For a binary symmetric channel bit error probability of 0.1 and a total code rate of 0.5 bpp, the loss in reconstruction quality with our best implementation was about 3.9 dB for the 512 ? 512 Lenna image, yielding a PSNR of 26.6 dB.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Vladimir Stankovic, Dietmar Saupe, Raouf Hamzaoui
• Keywords: Binary Symmetric Channel, ICIP 2001, Image Processing, Rate-distortion Unequal Error, Symmetric Channel Bit