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

Author

Przelaskowski, Artur ; Jozwiak, Rafal

Author_Institution

Inst. of Radioelectron., Warsaw Univ. of Technol., Warsaw, Poland

fYear

2012

fDate

7-9 May 2012

Firstpage

193

Lastpage

196

Abstract

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.

Keywords

compressed sensing; data compression; function approximation; image coding; compressive measurement; compressive sensing; data compression; enhanced noiselet measurement; image coarse approximation; integrated sensing; linear cosine measurement; sparsity pattern; Approximation methods; Image coding; Image reconstruction; Noise measurement; Sensors; Transforms; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Picture Coding Symposium (PCS), 2012

Conference_Location

Krakow

Print_ISBN

978-1-4577-2047-5

Electronic_ISBN

978-1-4577-2048-2

Type

conf

DOI

10.1109/PCS.2012.6213325

Filename

6213325