2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512)
DOI: 10.1109/iscas.2004.1329134
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Adaptive multiple resolution CMOS active pixel sensor

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Cited by 11 publications
(6 citation statements)
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“…The processing style also acquires distributed and hierarchical properties that are not entirely unlike those properties commonly found in biological vision systems [3], [4]. One image processing task whose focal plane realization is particularly interesting is image compression [5]- [8]. With focal-plane image compression methods, we obtain CMOS cameras in which the frames are read out directly in compressed digital format, thus eliminating the need for an intermediate memory for raw data storage, and the need for an external digital signal processor.…”
Section: Introductionmentioning
confidence: 99%
“…The processing style also acquires distributed and hierarchical properties that are not entirely unlike those properties commonly found in biological vision systems [3], [4]. One image processing task whose focal plane realization is particularly interesting is image compression [5]- [8]. With focal-plane image compression methods, we obtain CMOS cameras in which the frames are read out directly in compressed digital format, thus eliminating the need for an intermediate memory for raw data storage, and the need for an external digital signal processor.…”
Section: Introductionmentioning
confidence: 99%
“…Smart image sensors combine focal-plane signal processing and implement novel approaches to improve the computation efficiency, when compared to conventional discrete sensor-processor systems. Among these are various image sensors for motion detection, resolution reduction and even object tracking [29], [30], [31], [32], [33], [34], [35], [36]. The system presented in this paper is based on one type of these sensors.…”
Section: Introductionmentioning
confidence: 99%
“…While this topic has been addressed by a number of publications in recent years (see e.g. [1]- [6]), lossy compression techniques such as vector quantization (VQ) can be incorporated, with large benefit, among the set of currently employed techniques.…”
Section: Introductionmentioning
confidence: 99%