Distributed source coding theorem based region of interest image compression method

A new and flexible region of interest (ROI) image compression method is proposed according to the distributed source coding theorem with side information. The reconstructed low quality ROI is regarded as a noisy version of the original ROI in the proposed method. Therefore, along with the parity bits from the original ROI, the reconstructed low quality ROI as side information can be utilised by a turbo decoder to decode the high quality ROI. Experimental results show that the proposed method applying the Wyner-Ziv coding to ROI compression can greatly improve the compression efficiency as well as efficiently protect the ROI against bit errors.