Three-dimensional FLASH laser radar range estimation via blind deconvolution

Improving Range Estimation of a 3-dimensional Flash Ladar via Blind Deconvolution Dissertation

Improving the repeatability of topographic height measurements in confocal scanning laser imaging using maximum-likelihood deconvolution.

PURPOSE To evaluate maximum likelihood (ML) blind deconvolution as a technique for improving the repeatability of topographic height measurements obtained from scanning laser tomography (Heidelberg Retinal Tomograph [HRT]; Heidelberg Engineering, Heidelberg, Germany). METHODS ML blind deconvolution is an image-processing technique that estimates the original scene from a degraded image. This ...

Unsupervised blind deconvolution

To reduce the influence of atmospheric turbulence on images of space-based objects we are developing a maximum a posteriori deconvolution approach. In contrast to techniques found in the literature, we are focusing on the statistics of the point-spread function (PSF) instead of the object. We incorporated statistical information about the PSF into multi-frame blind deconvolution. Theoretical co...

Wavelet Estimation via Sparse Multichannel Blind Deconvolution

Multi-Channel Deconvolution for Forward-Looking Phase Array Radar Imaging

Abstract: The cross-range resolution of forward-looking phase array radar (PAR) is limited by the effective antenna beamwidth since the azimuth echo is the convolution of antenna pattern and targets’ backscattering coefficients. Therefore, deconvolution algorithms are proposed to improve the imaging resolution under the limited antenna beamwidth. However, as a typical inverse problem, deconvolu...