23-2: An Adaptive Contrast Enhancement of Image Using Multi-Scale Histogram Representation

2017 ◽  
Vol 48 (1) ◽  
pp. 318-321 ◽  
Author(s):  
Yu-Feng Jin ◽  
Shen-Sian Syu ◽  
Ming-Jong Jou
Keyword(s):  
Contrast Enhancement ◽  
Multi Scale ◽  
Histogram Representation

An Automatic Stopping Criterion for Contrast Enhancement Using Multi-scale Top-Hat Transformation

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Cesar Bustacara-Medina ◽  
Leonardo Flórez-Valencia
Keyword(s):  
Contrast Enhancement ◽  
Stopping Criterion ◽  
Multi Scale

Grayscale image contrast enhancement based on multi-scale edge representation

2005 ◽  
Author(s):  
Guangtao Zhai ◽  
Wenjun Zhang ◽  
Xiaokang Yang
Keyword(s):  
Contrast Enhancement ◽  
Image Contrast ◽  
Grayscale Image ◽  
Multi Scale ◽  
Image Contrast Enhancement

Contrast enhancement in retinal image via multi-scale geometrical analysis

2006 ◽  
Vol 2 (3) ◽  
pp. 229-232 ◽  
Author(s):  
Peng Feng ◽  
Ying-jun Pan ◽  
Biao Wei ◽  
Wei Jin ◽  
De-ling Mi
Keyword(s):  
Contrast Enhancement ◽  
Retinal Image ◽  
Geometrical Analysis ◽  
Multi Scale

Interactive Multi-scale Contrast Enhancement of Previously Processed Digital Mammograms

2010 ◽  
pp. 31-38
Author(s):  
Fabian Zöhrer ◽  
Markus T. Harz ◽  
Anke Bödicker ◽  
Heike Seyffarth ◽  
Kathy J. Schilling ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Multi Scale

Single image dehazing via multi-scale gradient domain contrast enhancement

2016 ◽  
Vol 10 (3) ◽  
pp. 206-214 ◽  
Author(s):  
Zetian Mi ◽  
Yijun Zheng ◽  
Huan Zhou ◽  
Minghui Wang
Keyword(s):  
Contrast Enhancement ◽  
Single Image ◽  
Image Dehazing ◽  
Multi Scale ◽  
Gradient Domain ◽  
Single Image Dehazing

Contrast Enhancement Based on Encoder-decoder Network Using Multi-Scale Feature Map

2020 ◽  
Vol 57 (5) ◽  
pp. 74-86
Author(s):  
Sanghyun Byun ◽  
Heunseung Lim ◽  
Soohwan Yu ◽  
Joonki Paik
Keyword(s):  
Contrast Enhancement ◽  
Feature Map ◽  
Scale Feature ◽  
Multi Scale

Adaptive multi-scale contrast enhancement through non-linear pyramid recombination

1990 ◽  
Vol 11 (11) ◽  
pp. 735-742 ◽  
Author(s):  
Alexander Toet
Keyword(s):  
Contrast Enhancement ◽  
Multi Scale ◽  
Non Linear

scholarly journals Adaptive Multi-Scale Entropy Fusion De-Hazing Based on Fractional Order

2018 ◽  
Vol 4 (9) ◽  
pp. 108 ◽  
Author(s):  
Uche Nnolim
Keyword(s):  
Contrast Enhancement ◽  
Fractional Order ◽  
Local Contrast ◽  
Multi Scale ◽  
Fully Adaptive ◽  
Color Degradation ◽  
Fractional Filter ◽  
Global And Local ◽  
Enhancement Algorithm ◽  
Experimental Comparisons

This paper describes a proposed fractional filter-based multi-scale underwater and hazy image enhancement algorithm. The proposed system combines a modified global contrast operator with fractional order-based multi-scale filters used to generate several images, which are fused based on entropy and standard deviation. The multi-scale-global enhancement technique enables fully adaptive and controlled color correction and contrast enhancement without over exposure of highlights when processing hazy and underwater images. This in addition to the illumination/reflectance estimation coupled with global and local contrast enhancement. The proposed algorithm is also compared with the most recent available state-of-the-art multi-scale fusion de-hazing algorithm. Experimental comparisons indicate that the proposed approach yields a better edge and contrast enhancement results without a halo effect, without color degradation, and is faster and more adaptive than all other algorithms from the literature.

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