The Hard X-ray Modulation Telescope (HXMT) is a collimated scan X-ray satellite mainly devoted to a sensitive all-sky survey and pointed observations in 1-250 keV. We expect various diffuse sources to be detected in its scanning observations due to the large rigidity factor of the telescope. Diffuse source detection performance of HXMT scanning observation depends not only on the instrument but also on its data analysis method since images have to be reconstructed from HXMT observed data. In this paper, we introduce a multiscale maximum entropy (MSME) algorithm for HXMT image restoration and propose an improved method, ensemble multiscale maximum entropy (EMSME) method, to alleviate the problem of mode mixing exiting in MSME. Simulation have been performed on the detection of the diffuse source Cen A by HXMT in the all-sky survey mode. The results show that the MSME method is adapted to the deconvolution task of HXMT for diffuse source detection and the improved method could suppress noise and improve the correlation and signal-to-noise ratio, thus proving itself a better algorithm for image restoration. Through one all-sky survey, HXMT could reach a capacity of detecting a diffuse source with maximum differential flux of 0.5 mCrab.
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