2003
DOI: 10.1109/ted.2003.819246
|View full text |Cite
|
Sign up to set email alerts
|

Characterization and deblurring of lateral crosstalk in CMOS image sensors

Abstract: Lateral crosstalk in CMOS imaging arrays deter effective utilization of small pixel sizes (e.g., 5 0 m 5 0 m) now permitted by technology scaling. A simple measurement setup for empirical characterization of lateral crosstalk in CMOS image sensors is presented. A demonstration of deblurring operations based on the obtained blur model of lateral crosstalk is also provided. Several well-known linear deconvolution filters are employed in the demonstration. The tradeoffs in sharpness restoration, high-frequency no… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2006
2006
2021
2021

Publication Types

Select...
3
1
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 19 publications
(3 citation statements)
references
References 27 publications
0
3
0
Order By: Relevance
“…1). To explore the issue further we have expanded the model to incorporate camera-related parameters that can affect speckle contrast including (i) rounding of the intensity value to an unsigned 8-bit integer, (ii) lateral pixel cross-talk 14 and (iii) a fixed noise pattern. For simplicity, we implemented a symmetrical pixel cross-talk using a convolution of the speckle pattern with a 7 × 7 Gaussian kernel with a standard deviation of 0.5 pixels.…”
Section: Resultsmentioning
confidence: 99%
“…1). To explore the issue further we have expanded the model to incorporate camera-related parameters that can affect speckle contrast including (i) rounding of the intensity value to an unsigned 8-bit integer, (ii) lateral pixel cross-talk 14 and (iii) a fixed noise pattern. For simplicity, we implemented a symmetrical pixel cross-talk using a convolution of the speckle pattern with a 7 × 7 Gaussian kernel with a standard deviation of 0.5 pixels.…”
Section: Resultsmentioning
confidence: 99%
“…PMOS structure [28] also make sense due to its limit in diffusion. Besides, linear deblurring [29] and crosstalk compensation algorithm [30] are adopted to improve image quality.…”
Section: Introductionmentioning
confidence: 99%
“…The significant advantages of the CMOS image sensor are low power consumption, high dynamic range, high pixel rate and high on-chip system integration [2][3][4][5]. All these make it popular in many applications such as machine vision, scientific imaging and military imaging [6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%