Color retinal image enhancement using luminosity and quantile based contrast enhancement
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Color retinal image enhancement using luminosity and quantile based contrast enhancement
Authors
Keywords
Adaptive gamma correction, Luminosity, Contrast enhancement, Linearly quantile separated histogram equalization, Retinal image
Journal
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-01-14
DOI
10.1007/s11045-019-00630-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Retinal blood vessel segmentation employing image processing and data mining techniques for computerized retinal image analysis
- (2016) R. GeethaRamani et al. Biocybernetics and Biomedical Engineering
- Optic Disc Localization Using Directional Models
- (2016) Xiangqian Wu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening
- (2016) Lama Seoud et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing
- (2016) Bin Chen et al. NEUROCOMPUTING
- Minimum mean brightness error contrast enhancement of color images using adaptive gamma correction with color preserving framework
- (2016) Bhupendra Gupta et al. OPTIK
- High-speed quantile-based histogram equalisation for brightness preservation and contrast enhancement
- (2015) Mayank Tiwari et al. IET Image Processing
- Optimum green plane masking for the contrast enhancement of retinal images using enhanced genetic algorithm
- (2015) Ebenezer Daniel et al. OPTIK
- Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase
- (2015) Yitian Zhao et al. PLoS One
- Identification of suitable fundus images using automated quality assessment methods
- (2014) Ugur Sevik et al. JOURNAL OF BIOMEDICAL OPTICS
- FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE
- (2014) Etienne Decencière et al. Image Analysis & Stereology
- Computer-aided diagnosis of diabetic retinopathy: A review
- (2013) Muthu Rama Krishnan Mookiah et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images
- (2013) Shuhang Wang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Retinal vessel enhancement based on multi-scale top-hat transformation and histogram fitting stretching
- (2013) Miao Liao et al. OPTICS AND LASER TECHNOLOGY
- CIEL⁎a⁎b⁎ color space predictive models for colorimetry devices – Analysisof perfume quality
- (2012) Rabia Korifi et al. TALANTA
- Small retinal vessels extraction towards proliferative diabetic retinopathy screening
- (2011) Girish Singh Ramlugun et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automated quality assessment of retinal fundus photos
- (2010) Jan Paulus et al. International Journal of Computer Assisted Radiology and Surgery
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started