IN2013MN02138A - - Google Patents

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Publication number
IN2013MN02138A
IN2013MN02138A IN2138MUN2013A IN2013MN02138A IN 2013MN02138 A IN2013MN02138 A IN 2013MN02138A IN 2138MUN2013 A IN2138MUN2013 A IN 2138MUN2013A IN 2013MN02138 A IN2013MN02138 A IN 2013MN02138A
Authority
IN
India
Prior art keywords
pixels
processed image
location
binning
image
Prior art date
Application number
Inventor
Xiaofeng Peng
Yuchun Huang
Fuhuei Lin
Original Assignee
Spreadtrum Comm Shanghai Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Spreadtrum Comm Shanghai Co filed Critical Spreadtrum Comm Shanghai Co
Publication of IN2013MN02138A publication Critical patent/IN2013MN02138A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4015—Image demosaicing, e.g. colour filter arrays [CFA] or Bayer patterns
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/40—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled
    • H04N25/46—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by combining or binning pixels
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N2209/00—Details of colour television systems
    • H04N2209/04—Picture signal generators
    • H04N2209/041—Picture signal generators using solid-state devices
    • H04N2209/042—Picture signal generators using solid-state devices having a single pick-up sensor
    • H04N2209/045—Picture signal generators using solid-state devices having a single pick-up sensor using mosaic colour filter
    • H04N2209/046—Colour interpolation to calculate the missing colour values
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Color Television Image Signal Generators (AREA)

Abstract

An image processing method and device based on a bayer format. The image processing method based on the bayer format comprises: executing for a to be processed image a binning processing in a row direction and/or a binning processing in a column direction an arranging mode of pixels in the processed image being identical with an arranging mode of pixels in the to be processed image. The binning processing comprises: determining a location for outputting pixels; selecting in the to be processed image several pixels whose color type is identical with a color type of the output pixels to perform weighted average so as to obtain an output pixel value a location of the selected several pixels and a location of the output pixels meet a weighted average relationship. According to the technical solution of the present invention image quality is ensured after a color interpolation based on a conventional binning method without introducing any false detail.
IN2138MUN2013 2012-08-07 2012-08-07 IN2013MN02138A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2012/079763 WO2014022965A1 (en) 2012-08-07 2012-08-07 Image processing method and device based on bayer format

Publications (1)

Publication Number Publication Date
IN2013MN02138A true IN2013MN02138A (en) 2015-06-12

Family

ID=50067363

Family Applications (1)

Application Number Title Priority Date Filing Date
IN2138MUN2013 IN2013MN02138A (en) 2012-08-07 2012-08-07

Country Status (5)

Country Link
US (1) US9262805B2 (en)
EP (1) EP2728545B1 (en)
CN (1) CN103733220B (en)
IN (1) IN2013MN02138A (en)
WO (1) WO2014022965A1 (en)

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Publication number Priority date Publication date Assignee Title
KR102178335B1 (en) * 2014-01-02 2020-11-12 삼성전자주식회사 Method of binning pixels in image sensor and image sensor
US9686485B2 (en) * 2014-05-30 2017-06-20 Apple Inc. Pixel binning in an image sensor
CN104079848A (en) * 2014-07-02 2014-10-01 中国科学院长春光学精密机械与物理研究所 Numeric field L-type pixel binning method
CN104349161B (en) * 2014-09-17 2016-05-18 常熟实盈光学科技有限公司 The dirty decision method of camera module image
CN105704363B (en) * 2014-11-28 2020-12-29 广东中星微电子有限公司 Image data processing method and device
CN105611256B (en) * 2015-12-28 2017-08-01 南京航空航天大学 A gradient-based Bayer format interpolation method and FPGA-based display device
JP7145943B2 (en) * 2017-10-04 2022-10-03 グーグル エルエルシー Depth estimation using a single camera
CN108932707B (en) * 2018-08-17 2022-06-07 一艾普有限公司 An image processing method and device
CN111246128B (en) * 2018-11-29 2022-09-13 北京图森智途科技有限公司 Pixel combination method, imaging device, image sensor and automobile
WO2020177123A1 (en) 2019-03-07 2020-09-10 Guangdong Oppo Mobile Telecommunications Corp., Ltd. Color imaging system
CN112308771B (en) * 2019-07-31 2024-08-16 维沃移动通信有限公司 Image processing method, device and electronic equipment
EP4052216B1 (en) * 2019-10-30 2025-07-16 intoPIX s.a. Image processor
AT523322A3 (en) * 2019-12-19 2024-08-15 Occyo Gmbh Ophthalmoscope for examining eyes
WO2021172274A1 (en) * 2020-02-28 2021-09-02 キヤノン株式会社 Identification device
JP7735055B2 (en) * 2020-02-28 2025-09-08 キヤノン株式会社 Identification device, separation method
US12342090B2 (en) * 2023-05-22 2025-06-24 Semiconductor Components Industries, Llc Image sensor with hybrid binning
CN117459836B (en) * 2023-12-05 2024-05-10 荣耀终端有限公司 Image processing method, device and storage medium

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7417670B1 (en) * 2005-01-12 2008-08-26 Ambarella, Inc. Digital video camera with binning or skipping correction
US7646910B1 (en) * 2006-04-19 2010-01-12 Ambarella, Inc. Digital video camera non-integer-ratio Bayer domain scaler
US20080260291A1 (en) * 2007-04-17 2008-10-23 Nokia Corporation Image downscaling by binning
CN100508556C (en) 2007-04-20 2009-07-01 北京中星微电子有限公司 A digital image grid noise detection and elimination device and method
JP5090899B2 (en) 2007-12-28 2012-12-05 イーストマン コダック カンパニー Imaging device
US8111299B2 (en) * 2008-08-15 2012-02-07 Seiko Epson Corporation Demosaicking single-sensor camera raw data
US8666162B1 (en) * 2010-12-20 2014-03-04 Csr Technology Inc. Advanced sensor binning correction
CN102256047B (en) 2011-07-28 2013-06-19 北京空间机电研究所 Filtering-based 2*2 digital BINNING system

Also Published As

Publication number Publication date
EP2728545B1 (en) 2018-07-11
EP2728545A1 (en) 2014-05-07
US20150170337A1 (en) 2015-06-18
CN103733220A (en) 2014-04-16
US9262805B2 (en) 2016-02-16
WO2014022965A1 (en) 2014-02-13
CN103733220B (en) 2016-07-06
EP2728545A4 (en) 2015-03-11

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