A Fast Noise Variance Estimation Algorithm

• doi: 10.1109/PrimeAsia.2011.6075071
• title: A fast noise variance estimation algorithm
• publisher: IEEE
• isbn: 978-1-4577-1609-6
• issn: 2159-2144
• partnum: 11EX5773
• rank: 1057
• access_type: LOCKED
• content_type: Conferences
• abstract: Noise estimation is an important part of video and image processing. In real time denoising of CMOS sensor environment, it is especially required to achieve fast and accurate noise estimation. This paper presents a fast and efficient noise estimation algorithm. The algorithm is block-based, in which noise of image or video is assumed to be additive zero-mean Gaussian noise. The algorithm requires N1 × N1 window and the corresponding operation of computing variance. In order to achieve fast and accurate noise estimation, the method we use can avoid the sorting process making the complexity order of the algorithm down to O(n) from either O(n2) or O(nlog2 n). In order to improve the accuracy of this algorithm, the main parameters in this paper are set to be adjusted adaptively according to the content of images or videos. By conducting experiments we find that the algorithm is fast and accurate.
• article_number: 6075071
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6075071
• html_url: https://ieeexplore.ieee.org/document/6075071/
• abstract_url: https://ieeexplore.ieee.org/document/6075071/
• publication_title: 2011 Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics
• conference_location: Macao, China
• conference_dates: 6-7 Oct. 2011
• publication_number: 6068278
• is_number: 6075053
• publication_year: 2011
• publication_date: 6-7 Oct. 2011
• start_page: 61
• end_page: 64
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 1076
• insert_date: 20111110
• index_terms:
  • ieee_terms:
    • Noise
    • Estimation
    • Signal processing algorithms
    • Noise reduction
    • Algorithm design and analysis
    • Sorting
    • Complexity theory
  • dynamic_index_terms:
    • Fast Algorithm
    • Fast Estimation
    • Fast Approximation
    • Noise Variance Estimation
    • Additive Noise
    • Additive White Gaussian Noise
    • Additive Gaussian
    • Additive Gaussian Noise
    • Noise Estimation
    • Sorting Process
    • Zero-mean Gaussian Noise
    • White Noise
    • Block Size
    • Test Sequences
    • Video Data
    • Original Algorithm
    • Current Frame
    • Frame Size
    • Mean Zero
    • Speed Estimation
    • Sorting Method
    • Sliding Window
    • Denoising Algorithm
    • Adjustment Step
    • Zero-mean White Gaussian
• isbn_formats:
  • format: CD, value: 978-1-4577-1609-6, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4577-1608-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4577-1610-2, isbnType: New-2005
• authors:
  • Author Name: Wenjiang Liu
    Affiliation: Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/38239933400
    ID: 38239933400
    Order: 1
    Author Affiliations:
    • Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
  • Author Name: Tao Liu
    Affiliation: Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37280955800
    ID: 37280955800
    Order: 2
    Author Affiliations:
    • Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
  • Author Name: Mengtian Rong
    Affiliation: Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37289357600
    ID: 37289357600
    Order: 3
    Author Affiliations:
    • Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
  • Author Name: Ruolin Wang
    Affiliation: Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/38025619900
    ID: 38025619900
    Order: 4
    Author Affiliations:
    • Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
  • Author Name: Hao Zhang
    Affiliation: Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/38026102400
    ID: 38026102400
    Order: 5
    Author Affiliations:
    • Department of Electronic Engineering, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

Image Sensor

• sensor_type: CMOS
• resolution: Not specified in text
• dynamic_range: Not specified in text
• pixel_size: Not specified in text
• dark_current: Not specified in text

Optical Data

• focal_length: Not specified in text
• aperture: Not specified in text
• field_of_view: Not specified in text
• distortion: Not specified in text

Performance Metrics

• frame_rate: Not specified in text
• signal_to_noise_ratio: Not specified in text
• sensitivity: Not specified in text
• shutter_speed: Not specified in text
• power_consumption: Not specified in text
• noise: Not specified in text

Applications & Benefits

• cell_imaging: Medical devices
• benefits: Enables digital imaging in smartphones, medical devices, and automotive systems.

Supporting Organizations

• supported_by: Not specified in text

Manuscript Details

• publication_date: 6-7 Oct. 2011

Relevancy Score

• score: 9
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • supported_by
  • publication_date

Processed JSON Filename

request_23211d02-00f4-4520-aaef-d2154188ae03-a_fast_noise_variance_estimation_algorithm.json