Architectures For Focal Plane Image Processing

Fossum, Eric R.

doi:10.1117/12.7977048

Cited by 39 publications

(14 citation statements)

References 17 publications

(2 reference statements)

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“…If is the remainder of , . According to the definition of , can be expressed by (1) If is large, the ratio can be approximated as (2) If is greater than , then the period for which the MLE output is logic one is clock cycles. Thus, MLE outputs of logic one occur within clock cycles, where is the quotient of .…”

Section: A Analysis Of Angular Velocity Selectivity For a Single-edgmentioning

confidence: 99%

Analysis and Design of a CMOS Angular Velocity- and Direction-Selective Rotation Sensor With a Retinal Processing Circuit

Huang

Lin

2004

IEEE Sensors J.

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This paper implements and analyzes a CMOS angular velocity-and direction-selective rotation sensor with a retinal processing circuit. The proposed rotation sensor has a polar structure and is selective of the angular velocity and direction (clockwise and counterclockwise) of the rotation of images. The correlation-based algorithm is adopted and each pixel in the rotation sensor is correlated with the pixel that is 45 apart. The angular velocity selectivity is enhanced by placing more than one pixel between two correlated pixels. The angular velocity selectivity is related to both the number and the positions of the edges in an image. Detailed analysis characterizes angular velocity selectivity for different edges. An experimental chip consisting 104 pixels, which form five concentric circles, is fabricated. The single pixel has an area of 91 84 m 2 and a fill factor of 20%, whereas the area of the chip is 1812 1825 m 2 . The experimental results concerning the fabricated chip successfully verified the analyzed characteristics of angular velocity and direction selectivity. They showed that the detectable angular velocity and range of illumination of this rotation sensor are from 2 5 10 3 s to 40 s and from 0.91 lux to 366 lux, respectively.

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Section: A Analysis Of Angular Velocity Selectivity For a Single-edgmentioning

confidence: 99%

Analysis and Design of a CMOS Angular Velocity- and Direction-Selective Rotation Sensor With a Retinal Processing Circuit

Huang

Lin

2004

IEEE Sensors J.

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“…(1) pixel-by-pixel multiplication of a region of interest of image I(r, y) by the kernel K(x, y), (2) addition of all the products of (1), and (3) shifting K(x. y) by one pixel to the next new position and repeat (1) and (2) until the entire image is processed. Due to the amount of computation and the large size of image data, an convolution unit suitable for analog VLSI implementation is yet to be designed and built.…”

Section: Introductionmentioning

confidence: 99%

<title>Locally-connected 2D convolution unit for analog VLSI implementation</title>

Li¹,

Damalcheruvu²

1994

SPIE Proceedings

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Analog VLSI Implementation of artificial neural networks for vision applications is studied in this paper. A locally connected, regular structure for two-dimensional convolution is proposed for high speed image processing. First, a mathematical formulation is given to map the convolution to analog computing domain. Then a system level design is performed together with the design and the testing of the basic building blocks. Experiments using real laboratory images are conducted.

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“…Other CMOS-based active pixels for current-mode readout [3] and logarithmic companding [4] have also been reported. It has been suggested that on-chip frame memory would enhance the ability to perform certain image processing tasks on chip [5] including frame-to-frame difference encoding, motion detection, and variable resolution imaging.…”

Section: Introductionmentioning

confidence: 99%