Pattern-Based Error Recovery of Low Resolution Subbands in JPEG2000

Digital image transmission is widely used in consumer products, such as digital cameras and cellular phones, where low bit rate coding is required. In any low bit rate encoder, such as the JPEG2000 standard, data truncation (during the encoding process), and data loss (during transmission) will result in lost bit-planes, which will be normally replaced by zeros. In this paper a new algorithm has been proposed, which recovers the lost/truncated lower bit-planes of coefficients in the LL subband of a wavelet transform in a JPEG2000 stream using the data available in higher bit-planes of the same coefficient and its eight neighbors. Simulation results indicate that the proposed algorithm achieves 5.40-8.77 dB improvement with respect to zero filling data recovery method.