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Contrast Brushes: Interactive Image Enhancement by Direct Manipulation [article]

Neil A. Dodgson, Mark Grundland, Rahul Vohra
2009 Computational Aesthetics in Graphics  
We implement contrast brushes, an interactive method for directly brushing contrast adjustments onto an image.  ...  A user study demonstrates that contrast brushes can prove more effective than Adobe Photoshop's interactive contrast enhancement tools.  ...  For instance, enhancing the mid-tones requires de-enhancing the highlights and shadows. This is a problem because the global methods do not adapt to local image features.  ... 
doi:10.2312/compaesth/compaesth09/107-114 fatcat:54bpsbbpr5gmjcol4bsupzfhbe

Radiometric Enhancement of Images [chapter]

John A. Richards
2012 Remote Sensing Digital Image Analysis  
in 4.8 Problems 4.1 Radiometric Enhancement of Images .3 Contrast Modification This figure is adapted from K.R.  ...  Logarithmic and exponential mappings of brightness value between the original and modified images are useful processes for enhancing dark and light features respectively.  ... 
doi:10.1007/978-3-642-30062-2_4 fatcat:dva2czxxjvfmrndehfd5ag3gma

Image Enhancement Pada Screen Capture CCTV Dengan Menggunakan Metode Histogram EKualisasi

Hendro Nugroho
2017 Kinetik  
Untuk mengatasi permasalahan diatas maka perlu adanya Histogram Ekualisasi yang dapat memberikan perbaikan kualitas citra (Image Enhancement).  ...  Untuk citra yang diambil sebagai Image Enhancement sebagai contoh uji coba penelitian adalah citra Screen Capture CCTV.  ...  Lu, "Adaptive Extended Piecewise Histogram Equalisation For Dark Image Enhancement," In IET Image Processing, 2015, Vol. 22, No. 2, Pp. 246-255. [5] S. Lim, N. Isa, C. Ooi, And K.  ... 
doi:10.22219/kinetik.v2i2.155 fatcat:37ft4eqtx5eljjncdt54pqqsbu

Fuzzy Inference System based Contrast Enhancement

Balasubramaniam Jayaram, Kakarla Narayana, V. Vetrivel
2011 Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011)  
In this work, we propose a fuzzy inference system based contrast enhancement of gray level images.  ...  We also give a compartive study of our approach and some classical and existing fuzzy techniques, and show that the enhanced images from the proposed algorithm are comparable.  ...  Other fuzzy techniques used predominantly for contrast adaptation are (see [25] for more details): • Minimization of fuzziness [5, 14, 15, 16, 25] ; • Equalisation using fuzzy expected value: application  ... 
doi:10.2991/eusflat.2011.13 dblp:conf/eusflat/JayaramNV11 fatcat:fyy6igr3w5emdnbrsmihcqwnxe

An Interval Type-2 Fuzzy Approach to Automatic PDF Generation for Histogram Specification [article]

Vishal Agarwal, Diwanshu Jain, A. Vamshi Krishna Reddy, Frank Chung-Hoon Rhee
2018 arXiv   pre-print
Histogram specification (HS) is one of the most widely used techniques for contrast enhancement of an image, which requires an appropriate probability density function for the transformation.  ...  Image enhancement plays an important role in several application in the field of computer vision and image processing.  ...  The authors thank the anonymous referees for their helpful suggestions for the improvement of the manuscript.  ... 
arXiv:1805.02173v1 fatcat:da3d5obmmbfd3ozfxeha6htt24

SVM and Neural Network based Diagnosis of Diabetic Retinopathy

R.Priya R.Priya, P. Aruna
2012 International Journal of Computer Applications  
Diabetic retinopathy (DR) is an eye disease caused by the complication of diabetes and we should detect it early for effective treatment.  ...  Ashok baskaran, Senior Civil Surgeon, Opthalmalogy, Cuddalore for his help in obtaining the images used in this research.  ...  histogram equalisation, the dark area in the input eye image that was badly illuminated has become brighter in the output eye image while the side that was highly illuminated remains or reduces so that  ... 
doi:10.5120/5503-7503 fatcat:cdmkkk4cdbe6dmvgchwg5ajv7e

Image Stylization: From Predefined to Personalized

Ignacio Garcia Dorado, Pascal Getreuer, Bartlomiej Wronski, Peyman Milanfar
2020 IET Computer Vision  
The authors present a framework for interactive design of new image stylisations using a wide range of predefined filter blocks.  ...  In order to achieve this real-time performance, they use the Best Linear Adaptive Enhancement (BLADE) framework -an interpretable shallow machine learning method that simulates complex filter blocks in  ...  Setting δ < 0 smooths the image while δ > 0 adds details (Fig. 4q) . Histogram operators: • Linear histogram equalisation: Equalises the luma channel expanding the p l to zero and the p h to 255.  ... 
doi:10.1049/iet-cvi.2019.0787 fatcat:ook6bg6365cz7k7xeyjujauyhy

Towards a General Model for Reflection Recovery and Single Image Enhancement

Meng Chang, Qi Li, Zhuang He, Huajun Feng, Zhihai Xu
2020 IET Image Processing  
After obtaining the dark and bright boundaries, the reflection is calculated and the image is enhanced accordingly.  ...  In this study, the authors propose a simple but effective method for estimating the reflection and enhancing the image contrast based on a general imaging model.  ...  In Fig. 8 , we compare our method with other single-image enhancement methods. Fig. 8b is the result of contrast-limited adaptive histogram equalisation (CLAHE) [48] .  ... 
doi:10.1049/iet-ipr.2019.1175 fatcat:6lbgsvvztffm5mpdlnxgttnid4

Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images [article]

Shuaa S. Alharbi, Cigdem Sazak, Carl J. Nelson, Boguslaw Obara
2019 arXiv   pre-print
This can be addressed using a multiscale approach that produces a better quality enhancement for low contrast and noisy images compared with a single-scale approach in a wide range of biomedical images  ...  Curvilinear structure enhancement is a crucial step for further analysis, but many of the enhancement approaches still suffer from contrast variations and noise.  ...  Contrast Limited Adaptive Histogram Equalisation (CLAHE) [19] is a widely used pre-processing stage in order to improve the local details of an image.  ... 
arXiv:1809.08678v2 fatcat:24cs7tghhvgwdmieht7dyk5yxy

Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images

Shuaa S. Alharbi, Cigdem Sazak, Carl J. Nelson, Boguslaw Obara
2018 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  
This can be addressed using a multiscale approach that produces a better quality enhancement for low contrast and noisy images compared with a single-scale approach in a wide range of biomedical images  ...  Curvilinear structure enhancement is a crucial step for further analysis, but many of the enhancement approaches still suffer from contrast variations and noise.  ...  Contrast Limited Adaptive Histogram Equalisation (CLAHE) [19] is a widely used pre-processing stage in order to improve the local details of an image.  ... 
doi:10.1109/bibm.2018.8621329 dblp:conf/bibm/AlharbiSNO18 fatcat:beqgzd4pjjfzpi4gpihpllli54

Biometric, Fingervein, Machine L Implementation of a Security System, Using Captured Fingervein, Applying the Concepts of Machine Learning

Oyinloye Oghenerukevwe Elohor, Akinbohun Folake, Thompson Aderonke, Korede Bashir
2020 International Journal Of Engineering And Computer Science  
Hua-Bin et al [3] presented an algorithm based on adaptive filtering and retinex method for enhancement of hand vein images.  ...  Histogram Equalisation: 5) Mathematical Morphology: This is the analysis of signals in terms of shape and was pioneered by Serra.  ... 
doi:10.18535/ijecs/v9i04.4470 fatcat:5ijoqsgbjzaynijhincaxi642q

Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy

Joana Sarah Grah, Jennifer Alison Harrington, Siang Boon Koh, Jeremy Andrew Pike, Alexander Schreiner, Martin Burger, Carola-Bibiane Schönlieb, Stefanie Reichelt
2017 Methods  
imaging.  ...  However, common specific image characteristics complicate image processing and impede use of standard methods.  ...  In addition, both effects prohibit application of basic image pre-processing tools like for example thresholding or histogram equalisation (cf. [10] ).  ... 
doi:10.1016/j.ymeth.2017.02.001 pmid:28189773 pmcid:PMC6414815 fatcat:by74pg6iwzdb7fnvpn4ptjrakq

Mathematical Imaging Methods for Mitosis Analysis in Live-Cell Phase Contrast Microscopy [article]

Joana Sarah Grah, Jennifer Alison Harrington, Siang Boon Koh, Jeremy Andrew Pike, Alexander Schreiner, Martin Burger, Carola-Bibiane Schönlieb, Stefanie Reichelt
2017 arXiv   pre-print
imaging.  ...  However, common specific image characteristics complicate image processing and impede use of standard methods.  ...  In addition, both effects prohibit application of basic image pre-processing tools like for example thresholding or histogram equalisation (cf. [10] ).  ... 
arXiv:1609.04649v3 fatcat:7irp2crkfvhwhjsphs3gadmiay

State of the Art in Vascular Biometrics [chapter]

Andreas Uhl
2019 Advances in Computer Vision and Pattern Recognition  
With respect to texture-oriented feature representation, [49] employs a preprocessing consisting of adaptive histogram equalisation and enhancement using a discrete Meyer wavelet.  ...  Also, [133] applies SIFT to binarised patterns after enhancement, while [193] employs SIFT, SURF and Affine-SIFT as feature extraction to histogram equalised sample data.  ...  The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material.  ... 
doi:10.1007/978-3-030-27731-4_1 fatcat:e3kxblj74verhaouxrjmnt6axe

Blood vessel segmentation methodologies in retinal images – A survey

M.M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman
2012 Computer Methods and Programs in Biomedicine  
Automatic generation of retinal maps and extraction of branch points have been used for temporal or multimodal image registration [8], retinal image mosaic synthesis [9], optic disk identification and  ...  Moreover, the retinal vascular tree is found to be unique for each individual and can be used for biometric identification [11, 12] .  ...  [91] presented a hardware based algorithm where the segmentation is obtained through CNNbased histogram equalisation and modification, local adaptive thresholding, and morphological opening.  ... 
doi:10.1016/j.cmpb.2012.03.009 pmid:22525589 fatcat:t6cjgne6rbckjlj7w7r4ptx6ui
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