Compressive measurements with integrated sensing, compression and data processing - Initial study

In this work, modifications to the paradigm of compression using the concept of compressive sensing was proposed. Procedure of detail estimation based on image coarse approximation from linear cosine measurements was optimized. These details were used to determine the most advantageous locations of...

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Main Authors: Przelaskowski, A., Jozwiak, R.
Format: Conference Proceeding
Language:English
Subjects:
Approximation methods
Image coding
Image reconstruction
Noise measurement
Sensors
Transforms
Vectors
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Jozwiak, R.
description In this work, modifications to the paradigm of compression using the concept of compressive sensing was proposed. Procedure of detail estimation based on image coarse approximation from linear cosine measurements was optimized. These details were used to determine the most advantageous locations of fixed noise let measurements. Adaptively optimized calculation of sparsity pattern over significant singularities enhanced noise let measurement efficiency. Experimentally verified effectiveness of the proposed sensed compression method has shown significant improvement in compression efficiency compared to reference methods.
doi_str_mv 10.1109/PCS.2012.6213325
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subjects Approximation methods
Image coding
Image reconstruction
Noise measurement
Sensors
Transforms
Vectors
title Compressive measurements with integrated sensing, compression and data processing - Initial study
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