Concealment of Transmission Errors in Jpeg-2000 Images Using Adaptive Linear Prediction And Crossband Information

Abstract

For ent ropy-coded JPEG-2000 images, a transmission error in a codeword (subband sample) may cause the underlining codeword (subband sample) and its subsequent codewords (subband samples) to be misinterpreted, resulting in a great degradation of the received images. In this study, the error concealment approach (using adaptive linear prediction and crossband information) to transmission errors in JPEG-2000 images is proposed. When JPEG-2000 images are decomposed into 6 wavelet levels (levels 0-5), the subband samples in the corrupted blocks of any subband on levels 3-5 are simply replaced by zeros. Adaptive linear prediction and crossband information are performed only on the 3 lower levels (0-2). Because the correlations between different subbands in horizontal and vertical directions are different, depending on (1) the position of the corrupted block, (2) the condition of correctly-received blocks in neighboring subbands, and (3) the statistical property (variance) of the corrupt block, the proposed approach adaptively selects one among 119 sets of linear prediction coefficients to conceal a corrupted block in the wavelet transform domain. Based on the simulation results obtained in this study, the proposed approach can recover high-quality JPEG-2000 images from the corresponding corrupted JPEG-2000 images.