Desensitisation of medical images restoration under crude estimates of mobile radio channels

Abstract

The paper presents an algorithm to reduce the sensitivity of the Wiener restoration scheme with respect to wrong estimates of the parameters required in a regularisation problem, applied to the transmission of medical images over a mobile radio channel. Desensitised restoration is applied to blocks of transmitted information before decoding at the receiving site, including their corresponding FECs together with the information data (i.e., JPEG coded image). The proposed desensitisation algorithm improves the restoration with respect to a conventional Wiener filter when using wrong estimates of the required parameters, i.e., wrong estimate of the blurring caused by the multipath fading, noise and statistics of the original image (which are unknown in a real situation).