An improved pixon-based method is proposed in this paper for image segmentation. In thisapproach, a wavelet thresholding technique is initially applied on the image to reduce noise and toslightly smooth the image. This technique causes an image not to be oversegmented when the pixonbasedmethod is used. Indeed, the wavelet thresholding, as a pre-processing step, eliminates theunnecessary details...

A pixon-based reconstruction imaging method is applied to CGRO COMPTEL data for Viewing Period 3. The eld-of-view of VP3 contains both the AGN sources 3C273 and 3C279 which are about 10 apart. The pixon technique is able to determine the uxes and locations of a number of discrete sources within close proximity to each other. Fluxes and upper limits have been determined for both sources in the t...

[1] We have completed the first global spatial deconvolution analysis of planetary gamma-ray data for lunar Th abundances as measured by the Lunar Prospector Gamma-ray Spectrometer. We tested two different spatial deconvolution techniques – Jansson’s method and the Pixon method – and determined that the Pixon method provides superior performance. The final deconvolved map results in a spatial r...

We present an alternative method for reconstructing a velocity-delay map in reverberation mapping (RM) based on the pixon algorithm initially proposed image reconstruction by Pina. The allows variable basis to adjust resolution of each pixel according information content that pixel, which therefore enables make best possible use measured data. final optimal functions would be those minimize num...

This lecture presents practical applications of pixon-based Bayesian estimation to the restoration of astronomical images. It discusses the e®ects of noise, e®ects of ̄nite sampling on resolution, and special problems associated with spatially correlated noise introduced by mosaicing. Comparisons to other methods demonstrate the signi ̄cant improvements a®orded by pixonbased methods and illustrat...

The data-driven Pixon noise-reduction method is applied to nuclear studies. By using the local information content, it preserves all statistically justifiable image features without generating artifacts. Statistical measures provide the user a feedback to judge if the processing parameters are optimal. The present work focuses on planar nuclear images with known Poisson noise characteristics. I...

MasudaÏs discovery of a compact hard X-ray impulsive source at the apex of a Ñaring coronal loop has received a great deal of recent attention in the solar physics community. The Masuda Ñare, which occurred on 1992 January 13, exhibited evidence of energy deposition in a compact region some distance above the soft X-ray loop, suggesting, to some authors, a Ñare process similar to the classical ...

Image restoration is an essential preprocessing step for many image analysis applications. So far, the majority of works have been devoted to image denoising. For this issue, the most common problem is that some interesting structures in the image will be removed from the concerned image during noise suppression. Such interesting structures in an image often correspond to the discontinuities in...

Image restoration is an essential preprocessing step for many image analysis applications. So far, the majority of works have been devoted to image denoising. For this issue, the most common problem is that some interesting structures in the image will be removed from the concerned image during noise suppression. Such interesting structures in an image often correspond to the discontinuities in...