An Effective Method of Image Quality Protection Based on ROI Extraction

Abstract

Direct compression of original map can’t meet users' request on image quality. In order to harmonize image quality and bandwidth of wireless transmission, a protect scheme of UEP (Unequal Error Protection) with JEPG 2000 coder and Channel coding based on RCPC (Rate Compatible Punctured Convolutional) was proposed to improve ROI-based image quality. Firstly, ROI (region-of-interest) was extracted from Saliency Map based on visual attention model. Secondly, ROI and BG (background region) in image which transmitted in wireless channel respectively, were protected by different encoding bit rates and RCPC Code rates. Finally, the PSNR of image was calculated after transmitting in wireless channel using computer simulations. Experimental results show that ROI-based images with high-level protection get a higher quality than image without ROI while not increasing bandwidth.