Session S01 - Modeling and Computation for Control and Optimization of Biological and Physical Systems

Thursday, July 15, 12:00 ~ 12:25 UTC-3

Compressive Spectral Imaging Using Regularization Gradients on Calibrated Optimized Systems

Henry Arguello

Senior Member, IEEE. Universidad Industrial de Santander , Colombia   -   This email address is being protected from spambots. You need JavaScript enabled to view it.

The design of compressive spectral imaging systems is a growing field to improve the reconstruction quality of spectral images. However, the performance achieved in the simulation is lost when it is carried out to real optical setups. Therefore, this work proposed a recovery method for compressive spectral imaging for the calibration problem in optimized coded systems. The proposed method modeled the calibration problem as the sum of the designed matrix and an additional matrix that stands for the calibrated error. Under this decomposition, an additional term is identified and minimized in the loss function to reduce the calibration gap. Simulation shows that the proposed method converges faster to the solution; specifically, the traditional approach requires up to twice the number of iterations to obtain the same performance as the proposed approach.

This work was supported by the VIE-UIS under Projects 2699

Joint work with Hans Garcia (Student Member, IEEE), Jorge Bacca, (Member, IEEE) and Brendt Wohlberg (Senior Member IEEE).

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