Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging

arXiv:2404.16900v1 Announce Type: cross
Abstract: This paper focuses on the development of a space-variant regularization model for solving an under-determined linear inverse problem. The case study is a medical image reconstruction from few-view tomographic noisy data. The primary objective of the proposed optimization model is to achieve a good balance between denoising and the preservation of fine details and edges, overcoming the performance of the popular and largely used Total Variation (TV) regularization through the application of appropriate pixel-dependent weights. …

abstract arxiv case case study cs.lg cs.na data development eess.iv good image imaging linear math.na math.oc medical optimization paper regularization space study total type variation view