4.6 Article

Focal-Plane Algorithmically-Multiplying CMOS Computational Image Sensor

Journal

IEEE JOURNAL OF SOLID-STATE CIRCUITS
Volume 44, Issue 6, Pages 1829-1839

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSSC.2009.2016693

Keywords

Block-matrix image transform; CMOS image sensor; focal-plane image processing; multiplying algorithmic ADC

Funding

  1. Natural Sciences and Engineering Research Council of Canada (NSERC)
  2. Canada Foundation for Innovation (CFI)

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The CMOS image sensor computes two-dimensional convolution of video frames with a programmable digital kernel of up to 8 x 8 pixels in parallel directly on the focal plane. Three operations, a temporal difference, a multiplication and an accumulation are performed for each pixel readout. A dual-memory pixel stores two video frames. Selective pixel output sampling controlled by binary kernel coefficients implements binary-analog multiplication. Cross-pixel column-parallel bit-level accumulation and frame differencing are implemented by switched-capacitor integrators. Binary-weighted summation and, concurrent quantization is performed by a bank of column-parallel multiplying analog-to-digital converters (MADCs). A simple digital adder performs row-wise accumulation during ADC readout. A 128 x 128 active pixel array integrated with a bank of 128 MADCs was fabricated in a 0.35 mu m standard CMOS technology. The 4.4 mm x 2.9 mm prototype is experimentally validated in discrete wavelet transform (DWT) video compression and frame differencing.

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