TR200908819A2 - Belirginliğe dayalı video kontrast iyileştirme metodu. - Google Patents

Belirginliğe dayalı video kontrast iyileştirme metodu.

Info

Publication number
TR200908819A2
TR200908819A2 TR2009/08819A TR200908819A TR200908819A2 TR 200908819 A2 TR200908819 A2 TR 200908819A2 TR 2009/08819 A TR2009/08819 A TR 2009/08819A TR 200908819 A TR200908819 A TR 200908819A TR 200908819 A2 TR200908819 A2 TR 200908819A2
Authority
TR
Turkey
Prior art keywords
saliency
pixels
mapping
local
levels
Prior art date
Application number
TR2009/08819A
Other languages
English (en)
Inventor
�I�La Cevah�R
Original Assignee
Vestel Elektron�K San. Ve T�C. A.�.
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 Vestel Elektron�K San. Ve T�C. A.�. filed Critical Vestel Elektron�K San. Ve T�C. A.�.
Priority to TR2009/08819A priority Critical patent/TR200908819A2/tr
Priority to EP10189560A priority patent/EP2339533B1/en
Priority to ES10189560T priority patent/ES2391821T3/es
Publication of TR200908819A2 publication Critical patent/TR200908819A2/tr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20004—Adaptive image processing
    • G06T2207/20012—Locally adaptive

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Picture Signal Circuits (AREA)
  • Image Analysis (AREA)

Abstract

Piksellerin görsel dikkat çekiciliğinin ölçümü anlamına gelen belirginlik haritalarını, yerel kontrast iyileştirmede kullanan bir metottur Ayrıca, renge ve weber'in en küçük fark edilebilir fark yasasına dayanan bir belirginlik haritası çıkarım algoritması da sunulmuştur Belirginlik tahmini sırasında, piksellerin çevreleri ile olan ilişkileri, hem mutlak yoğunluk seviyesi hem de açıklık/koyuluk özelliklerine göre ele alınmıştır Belirginlik haritası elde edildiğinde, literatürde bilinen herhangi bir histogram eşitleme metodu ile, bir global histogram haritalama fonksiyonu çıkarılır Piksellerin düzeltilmiş yoğunluk seviyelerine son haritalanması, söz konusu pikselin belirginlik haritasının kuvveti ve işaretine bağlı olarak bir miktar, negatif ya da pozitif yönde haritalama fonksiyonu üzerinde kaymalar gerçekleştirilerek elde edilir Bu kaymalar, belirginlik ölçümleri farklı olduğu sürece, aynı yoğunluk seviyeleri için farklı haritalama değerleri sağlar Bu şekilde, koyu renk pikseller, söz konusu haritalamadan daha koyu seviyelere haritalanırlar ve tam tersi açık renk pikseller için de geçerlidir Bu durum, her bir yoğunluk düzeyini, belirginlik haritaları ile belirlenen kendi yerel özelliklerine uygun şekilde, yerel etki alanında kontrastın geliştirilmesini sağlar.
TR2009/08819A 2009-11-20 2009-11-20 Belirginliğe dayalı video kontrast iyileştirme metodu. TR200908819A2 (tr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
TR2009/08819A TR200908819A2 (tr) 2009-11-20 2009-11-20 Belirginliğe dayalı video kontrast iyileştirme metodu.
EP10189560A EP2339533B1 (en) 2009-11-20 2010-11-01 Saliency based video contrast enhancement method
ES10189560T ES2391821T3 (es) 2009-11-20 2010-11-01 Método de mejora de contraste en función de la prominencia

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TR2009/08819A TR200908819A2 (tr) 2009-11-20 2009-11-20 Belirginliğe dayalı video kontrast iyileştirme metodu.

Publications (1)

Publication Number Publication Date
TR200908819A2 true TR200908819A2 (tr) 2011-06-21

Family

ID=43414051

Family Applications (1)

Application Number Title Priority Date Filing Date
TR2009/08819A TR200908819A2 (tr) 2009-11-20 2009-11-20 Belirginliğe dayalı video kontrast iyileştirme metodu.

Country Status (3)

Country Link
EP (1) EP2339533B1 (tr)
ES (1) ES2391821T3 (tr)
TR (1) TR200908819A2 (tr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110245661A (zh) * 2019-06-11 2019-09-17 周口师范学院 一种基于韦伯定律的多层卷积图像特征提取方法及系统

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102547117B (zh) * 2011-12-22 2014-12-03 北京英泰智软件技术发展有限公司 一种摄像机对比度增强方法
CN103747240B (zh) * 2013-12-25 2015-10-21 浙江大学 融合颜色和运动信息的视觉显著性滤波方法
CN106056579A (zh) * 2016-05-20 2016-10-26 南京邮电大学 一种基于背景对比的显著性检测方法
CN106997478B (zh) * 2017-04-13 2020-04-03 安徽大学 基于显著中心先验的rgb-d图像显著目标检测方法
CN107369163B (zh) * 2017-06-15 2020-12-01 西安微电子技术研究所 一种基于最佳熵双阈值分割的快速sar图像目标检测方法
US10628929B2 (en) * 2018-05-28 2020-04-21 Augentix Inc. Method and computer system of image enhancement
CN109949238B (zh) * 2019-03-07 2022-11-25 北京麦哲科技有限公司 图像的磨白优化方法和装置
CN111161222B (zh) * 2019-12-13 2023-08-25 北京印刷学院 一种基于视觉显著性的印刷辊筒缺陷检测方法
CN113643651B (zh) * 2021-07-13 2022-08-09 深圳市洲明科技股份有限公司 一种图像增强方法、装置、计算机设备和存储介质
CN114549642B (zh) * 2022-02-10 2024-05-10 中国科学院上海技术物理研究所 一种低对比度红外弱小目标检测方法
CN114549670B (zh) * 2022-02-23 2023-04-07 京东方数字科技有限公司 图像处理方法及图像处理系统
WO2023197284A1 (en) * 2022-04-15 2023-10-19 Qualcomm Incorporated Saliency-based adaptive color enhancement

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7003153B1 (en) 2000-09-29 2006-02-21 Sharp Laboratories Of America, Inc. Video contrast enhancement through partial histogram equalization
EP1744279A1 (en) * 2005-07-11 2007-01-17 Thomson Licensing Method and device for filtering an image using side information

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110245661A (zh) * 2019-06-11 2019-09-17 周口师范学院 一种基于韦伯定律的多层卷积图像特征提取方法及系统

Also Published As

Publication number Publication date
ES2391821T3 (es) 2012-11-30
EP2339533A1 (en) 2011-06-29
EP2339533B1 (en) 2012-07-18

Similar Documents

Publication Publication Date Title
TR200908819A2 (tr) Belirginliğe dayalı video kontrast iyileştirme metodu.
TR200908688A2 (tr) Çoklu görüntülü videoda derinlik dengelemeli gürültü azaltımı.
Galdran et al. Automatic red-channel underwater image restoration
ES2712452T3 (es) Sistema de procesamiento de imagen y soporte de registro legible por ordenador
CN104574366B (zh) 一种基于单目深度图的视觉显著性区域的提取方法
US9811746B2 (en) Method and system for detecting traffic lights
JP6488581B2 (ja) 霞画像判別装置及び判別方法
KR20170034834A (ko) 반투명 마크, 반투명 마크 합성 및 검출 방법, 투명 마크 그리고 투명 마크 합성 및 검출 방법
EP2568438A3 (en) Image defogging method and system
JP5888117B2 (ja) 物体検出装置
RU2011102402A (ru) Способ и устройство заполнения зон затенения карты глубин или несоответствий, оцениваемой на основании по меньшей мере двух изображений
CN103177424A (zh) 一种低照度图像的增强和去噪方法
CN103020920A (zh) 一种低照度图像增强方法
CN103049888A (zh) 基于暗原色结合大气散射光的图像/视频去雾方法
KR20160047972A (ko) 영상 처리 장치, 영상 처리 방법, 및 영상 표시 장치
KR20120136813A (ko) 영상 처리 장치 및 방법
ATE553456T1 (de) Verfahren und computerprogrammprodukt zur registrierung biomedizinischer bilder mit verminderten objektbewegungsbedingten bildgebungsartefakten
ATE546951T1 (de) System und verfahren zur tiefenabbildungsextraktion unter verwendung von auf regionen basierender filterung
CN104346776A (zh) 基于Retinex理论的非线性图像增强方法及其系统
WO2012019700A3 (de) Verfahren und vorrichtung zum erkennen von lichtquellen
CN104902141B (zh) 图像处理方法及装置
WO2015024257A8 (en) Unstructured road boundary detection
CN105472361A (zh) 一种投影仪图像荧光处理的方法及系统
CN107977941A (zh) 一种明亮区域色彩保真及对比度增强的图像去雾方法
CN105263008A (zh) 低环境照度下的彩色图像质量提升方法及其装置