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Impact of fixed pattern noise on embedded image compression techniques

Published on 29 March 2018
Impact of fixed pattern noise on embedded image compression techniques
Description
 
Date 
Authors
Guicquero W., Alacoque L.
Year2017-0454
Source-TitleProceedings - IEEE International Symposium on Circuits and Systems
Affiliations
Univ. Grenoble Alpes, Grenoble, France, CEA-LETI, MINATEC Campus, Grenoble, France
Abstract
This paper discusses the impact of Fixed Pattern Noise (FPN) on image compression embedded in CMOS sensors. This FPN is mainly due to technology dispersions as well as a non uniform topology of the layout. FPN is generally modelled as a non uniform affine mapping of the pixels. The Dark Signal Non-Uniformity (DSNU) represents the level of offset variations while Photo Response Non-Uniformity (PRNU) is the level of pixel gain variations. Once those two parameters are properly calibrated for each pixel, the image can be corrected by linear interpolations (i.e. affine correction). This operation requires specific processing and large memory resources to be implemented directly in the focal plane. If this 2-points correction is not performed inside the sensor, some problems arise in the context of embedded compression because the hypothesis on image sparsity is no longer satisfied. By considering this context, this paper presents a comparative study between a 2D Haar wavelet compression, separable Compressive Sensing (CS) and a novel approach combining wavelet based compression and row based CS. In the case of a high non uniformity of the focal plane (e.g. considerable technological dispersion), it appears that a proper combination of CS and Haar takes advantage of both enabling FPN correction at the reconstruction stage and outperforming the alternative techniques. © 2017 IEEE.
Author-Keywords
advanced CMOS image sensor, Compressive sensing, Fixed Pattern Noise, Wavelet image compression
Index-Keywords
CMOS integrated circuits, Compressed sensing, Focusing, Pixels, Advanced CMOS, Compressive sensing, Dark signal non uniformities, Embedded compression, Fixed pattern noise, Linear Interpolation, Photo response non uniformities (PRNU), Wavelet-based compressions, Image compression
ISSN2714310
LinkLink

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