ROI Based Error Concealment of Compressed Object Based Image using QIM Data Hiding and Wavelet Transform

Transmission of digital data through radio mobile channel experiences fading effect that leads to severe degradation in quality. Error concealment is a post-processing technique to improve this quality degradation. One such algorithm is proposed here using integer wavelet, data hiding and region-of-interest (ROI) coding functionality. Threshold based image segmentation and morphological operations are used together to find ROI. Halftoning technique is then used to obtain image digest from this ROI. To restore the human interested portion of an image, the information of ROI is embedded as image digest into the region-of-background (ROB) using data hiding based on quantization index modulation (QIM). Simulation results show that the scheme provides significant performance improvement with various lost blocks in ROI without affecting the compatibility of the standard JPEG 2000 coding scheme. Performance of the proposed scheme is also tested using simulations on Rayleigh-fading wireless channel and is compared with the few other error concealment methods.