Notice of RetractionNear Range Millimeter Wave Radiometer Passive Image High Resolution Restoration

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Since a millimeter wave (MMW) image is lower resolution and higher noise than optical, it appears particularly important to restore high resolution MMW image, on which many works have been done. However there is rare report on scanning image restoration technology under near range conditions. Change of antenna characteristics is main factor to affect image quality in near range, for example, the antenna pattern mainlobe emerges fluctuation and the gain is greatly reduced. In addition, scanning movement of servomechanism is another important factor to affect imaging quality. This paper firstly estimates point spread function (PSF) of scanning prototype to establish blurred model, and then takes estimated PSF as initial value into restoration algorithm that combines maximum likelihood (ML) estimation and blind deconvolution techniques, resumes restoration of hidden target MMW images. Simulations show that the combined restoration algorithm is better in effect and convergence.