Cmos Image Sensor With Programmable Compressed Sensing

• doi: 10.1109/ASICON.2015.7516875
• title: CMOS image sensor with programmable compressed sensing
• publisher: IEEE
• isbn: 978-1-4799-8486-2
• issn: 2162-755X
• rank: 1838
• access_type: LOCKED
• content_type: Conferences
• abstract: The concept of compressed sensing CMOS image sensor is to compress data while sampling and prior to storage. This is our main idea to accomplish high speed imaging. In this paper, a CMOS image sensor with compressed sensing sampling mode is presented, which is composed of 256x256 pixel array. In order to reduce the complexity of the pseudo-random sequence generating circuits and reconstruction algorithm, the whole system is divided into 256 sub blocks. Each block consists of 16x16 pixel array with a single sigma-delta ADC, which is used to achieve the linear transformation. Similar to the conventional column ADC, the sigma-delta ADC is also used to quantize the transformed results. We have made a simulation for the proposed imaging architecture based on a 256x256 lena image. The simulation results show that the PSNR of the recovery image reaches 31.58 dB, 29.86 dB, and 29.52 dB, while the compressed ratio is 1/2, 1/4, and 1/6 respectively. Thus the corresponding frame rate can be increased by 2, 4, and 6 folds.
• article_number: 7516875
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7516875
• html_url: https://ieeexplore.ieee.org/document/7516875/
• abstract_url: https://ieeexplore.ieee.org/document/7516875/
• publication_title: 2015 IEEE 11th International Conference on ASIC (ASICON)
• conference_location: Chengdu, China
• conference_dates: 3-6 Nov. 2015
• publication_number: 7506193
• is_number: 7516874
• publication_year: 2015
• publication_date: 3-6 Nov. 2015
• start_page: 1
• end_page: 4
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 618
• insert_date: 20160721
• index_terms:
  • ieee_terms:
    • Compressed sensing
    • CMOS image sensors
    • Sigma-delta modulation
    • Image coding
    • Image reconstruction
    • Hardware
    • Discrete cosine transforms
  • author_terms:
    • Compressed Sensing
    • CMOS Image Sensor
    • High Speed Imaging
    • Pseudo-random
  • dynamic_index_terms:
    • Simulation Results
    • Reconstruction Algorithm
    • Compression Ratio
    • Image Recovery
    • High-speed Imaging
    • Pixel Array
    • Pseudo-random Sequence
    • Raw Data
    • Sampling Rate
    • Original Signal
    • Hardware Implementation
    • Image X
    • Discrete Cosine Transform
    • Hardware Architecture
    • Matching Pursuit
    • Orthogonal Matching Pursuit
    • Salt And Pepper Noise
    • Pepper Noise
    • Readout Circuit
    • Restricted Isometry Property
    • Restricted Isometry Constant
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-4799-8486-2, isbnType: New-2005
  • format: USB ISBN, value: 978-1-4799-8484-8, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4799-8483-1, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4799-8485-5, isbnType: New-2005
• authors:
  • Author Name: Huixian Ye
    Affiliation: Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37085853436
    ID: 37085853436
    Order: 1
    Author Affiliations:
    • Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
  • Author Name: Li Tian
    Affiliation: Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37085509561
    ID: 37085509561
    Order: 2
    Author Affiliations:
    • Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
  • Author Name: Qi Zhang
    Affiliation: Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/38551028400
    ID: 38551028400
    Order: 3
    Author Affiliations:
    • Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
  • Author Name: Hui Wang
    Affiliation: Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37085509832
    ID: 37085509832
    Order: 4
    Author Affiliations:
    • Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
  • Author Name: Songlin Feng
    Affiliation: Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37287686400
    ID: 37287686400
    Order: 5
    Author Affiliations:
    • Chinese Academy of Sciences, Shanghai Advanced Research Institute, Shanghai, China

Image Sensor

• sensor_type: CMOS
• resolution: 256x256
• dynamic_range: Not Specified
• pixel_size: Not Specified
• dark_current: Not Specified

Optical Data

• focal_length: Not Specified
• aperture: Not Specified
• field_of_view: Not Specified
• distortion: Not Specified

Performance Metrics

• frame_rate: Increased by 2, 4, and 6 folds based on compression ratios
• signal_to_noise_ratio: PSNR of 31.58 dB, 29.86 dB, and 29.52 dB depending on compression ratio
• sensitivity: Not Specified
• shutter_speed: Not Specified
• power_consumption: Not Specified
• noise: Not Specified

Applications & Benefits

• cell_imaging: Not Specified
• benefits: Compress data while sampling to alleviate backend circuit burden, facilitate high-speed imaging.

Supporting Organizations

• supported_by: National Nature and Science Funding under project NO. 61404145, Shanghai Municipal Science and Technology Commission under projects NO. 14511102302, NO. 13511501000, and NO. 14DZ1119200.

Manuscript Details

• publication_date: 3-6 Nov. 2015

Relevancy Score

• score: 9
• missing_fields:
  • pixel_size
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_06dbaddf-dc8f-4cb0-9fef-2dc83e17bfef-cmos_image_sensor_with_programmable_compressed_sensing.json