509 / 2019-03-03 10:13:35
Low power CNN Accelerator for mobile lensless imaging system
lensless Image Processing,CNN Accelerator,Reconfigurable,Low Power
Final Paper
Ningmei Yu / Xi'an University of Technology
Yumin Liao / Xi'an University of Technology
This paper presents a CNN accelerator structure for lensless microfluidic acquisition of biological image processing. We propose a low power optimized convolution circuit which utilized the sparse characteristics of lensless cell image acquisition system. And a reconfigurable dual-register group structure is also developed for improving the CNN processing efficiency. The CNN accelerator structure can accelerate various cell image analysis algorithm, including image edge segmentation and super-resolution reconstruction. The circuit is implemented with UMC 110nm process, the circuit area is 2.66 mm2 and the maximal frequency is 300 MHz.
Important Date
  • Conference Date

    Jun 12

    2019

    to

    Jun 14

    2019

  • Jun 12 2019

    Draft paper submission deadline

  • Jun 14 2019

    Registration deadline

Organized By
Xi'an University of Technology
Contact Information