Frame based adaptation for CMOS imager

Dave Climie; Shoushun Chen; Amine Bermak; Dominique Martinez

Frame based adaptation for CMOS imager

Dave Climie^*, Shoushun Chen, Amine Bermak, Dominique Martinez

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the Fast Boundary Adaptation Rule (FBAR). The adaptive quantization algorithm is integrated together with a 128×128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture.

Original language	English
Title of host publication	2005 Fifth International Conference on Information, Communications and Signal Processing
Pages	301-304
Number of pages	4
Publication status	Published - 2005
Externally published	Yes
Event	2005 Fifth International Conference on Information, Communications and Signal Processing - Bangkok, Thailand Duration: 6 Dec 2005 → 9 Dec 2005

Publication series

Name	2005 Fifth International Conference on Information, Communications and Signal Processing
Volume	2005

Conference

Conference	2005 Fifth International Conference on Information, Communications and Signal Processing
Country/Territory	Thailand
City	Bangkok
Period	6/12/05 → 9/12/05

Keywords

Adaptive quantization
PWM CMOS image sensor

Cite this

@inproceedings{5e1594a2cdb547dc92d0d75aee8a4366,

title = "Frame based adaptation for CMOS imager",

abstract = "This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the Fast Boundary Adaptation Rule (FBAR). The adaptive quantization algorithm is integrated together with a 128×128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture.",

keywords = "Adaptive quantization, PWM CMOS image sensor",

author = "Dave Climie and Shoushun Chen and Amine Bermak and Dominique Martinez",

year = "2005",

language = "English",

isbn = "0780392833",

series = "2005 Fifth International Conference on Information, Communications and Signal Processing",

pages = "301--304",

booktitle = "2005 Fifth International Conference on Information, Communications and Signal Processing",

note = "2005 Fifth International Conference on Information, Communications and Signal Processing ; Conference date: 06-12-2005 Through 09-12-2005",

}

Climie, D, Chen, S, Bermak, A & Martinez, D 2005, Frame based adaptation for CMOS imager. in 2005 Fifth International Conference on Information, Communications and Signal Processing., 1689055, 2005 Fifth International Conference on Information, Communications and Signal Processing, vol. 2005, pp. 301-304, 2005 Fifth International Conference on Information, Communications and Signal Processing, Bangkok, Thailand, 6/12/05.

Frame based adaptation for CMOS imager. / Climie, Dave; Chen, Shoushun; Bermak, Amine et al.
2005 Fifth International Conference on Information, Communications and Signal Processing. 2005. p. 301-304 1689055 (2005 Fifth International Conference on Information, Communications and Signal Processing; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Frame based adaptation for CMOS imager

AU - Climie, Dave

AU - Chen, Shoushun

AU - Bermak, Amine

AU - Martinez, Dominique

PY - 2005

Y1 - 2005

N2 - This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the Fast Boundary Adaptation Rule (FBAR). The adaptive quantization algorithm is integrated together with a 128×128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture.

AB - This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the Fast Boundary Adaptation Rule (FBAR). The adaptive quantization algorithm is integrated together with a 128×128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture.

KW - Adaptive quantization

KW - PWM CMOS image sensor

UR - http://www.scopus.com/inward/record.url?scp=34147144167&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:34147144167

SN - 0780392833

SN - 9780780392830

T3 - 2005 Fifth International Conference on Information, Communications and Signal Processing

SP - 301

EP - 304

BT - 2005 Fifth International Conference on Information, Communications and Signal Processing

T2 - 2005 Fifth International Conference on Information, Communications and Signal Processing

Y2 - 6 December 2005 through 9 December 2005

ER -

Frame based adaptation for CMOS imager

Abstract

Publication series

Conference

Keywords

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Cite this