Analysis of the Measurement Matrix in Directional Predictive Coding for Compressive Sensing of Medical Images

Autor: Christinal, Hepzibah A., Kowsalya, G., Chandy D., Abraham, Jebasingh, Stephenraj, Bajaj, Chandrajit

Publikováno v: ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 20, Iss 2 (2022)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

Compressive sensing of 2D signals involves three fundamental steps: sparse representation, linear measurement matrix, and recovery of the signal. This paper focuses on analyzing the efficiency of various measurement matrices for compressive sensing o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe06e5f344968a13d201b9790a5d3bc5
https://doi.org/10.5565/rev/elcvia.1412