2017 Symposium on VLSI Circuits 2017
DOI: 10.23919/vlsic.2017.8008495
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A 4.1Mpix 280fps stacked CMOS image sensor with array-parallel ADC architecture for region control

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Cited by 10 publications
(5 citation statements)
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“…While the approach is currently implemented in software and has iterative elements, with the predicted increase in on-chip processing [ 24 , 25 ] in image sensors (facilitated by stacking and advanced readout schemes [ 26 , 27 ]), as well as the advent of advanced applications processors [ 28 ] (with computational photography and machine learning features), an integrated circuit realization is within the realm of possibility. There is thus the potential of real-time low-light vision applications, aided perhaps by active illumination and time-gated imaging for enhanced contrast, as also explored here.…”
Section: Discussionmentioning
confidence: 99%
“…While the approach is currently implemented in software and has iterative elements, with the predicted increase in on-chip processing [ 24 , 25 ] in image sensors (facilitated by stacking and advanced readout schemes [ 26 , 27 ]), as well as the advent of advanced applications processors [ 28 ] (with computational photography and machine learning features), an integrated circuit realization is within the realm of possibility. There is thus the potential of real-time low-light vision applications, aided perhaps by active illumination and time-gated imaging for enhanced contrast, as also explored here.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, the exposure time of each block are recorded in the exposure-time table. If in an environment where the exposure state of the subject changes, many schemes can be used to efficiently obtain the optimum HDR image, such as by sequentially updating the exposure-time table during live view execution and a method to control exposure based on motion information in addition light intensities [6].…”
Section: B Image Processing 1) Auto Exposure (Ae) Controlmentioning
confidence: 99%
“…where α is the multiplication of the exposure time normalized by 1 ms to a power of 2 and N is the TV number. The acquired image is reconstructed by multiplying the gain according to the TV number, but since both the signal and noise are multiplied by the gain, the SNR can be expressed in the same as in (6). The graph of "Best SNR" shows the best case using the highest SNR condition.…”
Section: ) Snr With Single-frame Cementioning
confidence: 99%
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“…In conventional methods or the method described in Sect. 2.3.1, a feedback amplifier is allocated to each column or each area 2,3,19) to suppress the reset noise and threshold voltage variation. However, a sensor with a large number of pixels requires a long suppression time owing to the large time constant of the vertical signal line.…”
Section: In-pixel Capacitive-coupled Noise Cancellermentioning
confidence: 99%