Multi-resolution Compressive Sensing Reconstruction

02/18/2016
by   Adriana González, et al.
0

We consider the problem of reconstructing an image from compressive measurements using a multi-resolution grid. In this context, the reconstructed image is divided into multiple regions, each one with a different resolution. This problem arises in situations where the image to reconstruct contains a certain region of interest (RoI) that is more important than the rest. Through a theoretical analysis and simulation experiments we show that the multi-resolution reconstruction provides a higher quality of the RoI compared to the traditional single-resolution approach.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset