2017
DOI: 10.2352/issn.2470-1173.2017.18.color-029
|View full text |Cite
|
Sign up to set email alerts
|

Checklist for Daltonization methods: Requirements and characteristics of a good recolouring method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(5 citation statements)
references
References 0 publications
0
5
0
Order By: Relevance
“…Here, an evaluation based on different test images and proposed target images types is given. This research also revealed a need for guidelines for designing and evaluating such algorithms, and a proposed checklist (Simon-Liedtke et al 2017) include requirements concerning preservation of color identification, customization for different types and severities of CVD, target image types and the emphasis on evaluating methods on real CVD observers.…”
Section: Post-processing Methodsmentioning
confidence: 99%
“…Here, an evaluation based on different test images and proposed target images types is given. This research also revealed a need for guidelines for designing and evaluating such algorithms, and a proposed checklist (Simon-Liedtke et al 2017) include requirements concerning preservation of color identification, customization for different types and severities of CVD, target image types and the emphasis on evaluating methods on real CVD observers.…”
Section: Post-processing Methodsmentioning
confidence: 99%
“…It is a complex task that carries with it the issue of remapping a colour spectre to a smaller one, more suitable for people with colour vision deficiency (Milic et al, 2015). Generally, there are two kinds of daltonizations, content-independent daltonization which will remap one colour to another, disregarding the content of the image, and content-dependant daltonization which will remap one colour to another, depending on the context of an image, assuring that the object in the image is standing out from the background (Simon-Liedtke et al, 2017). Currently, content-dependant daltonization is taxing for the computer, which makes it potentially inadequate for an image that is changing in real-time, which is the case in video games.…”
Section: Daltonization Toolsmentioning
confidence: 99%
“…The surface of an image can be changed partly, where only one colour or one part of an image is being daltonized or fully, where the whole image is being remapped. Depending on the customization factor, some daltonizations are made for an individual or a certain group of colour blindness, while some are made universal (Simon-Liedtke et al, 2017). In some instances, the user can control the daltonization level, while in some cases it is automatic.…”
Section: Daltonization Toolsmentioning
confidence: 99%
“…In 2017, Simon‐Liedtke et al. provided guidelines for the design and evaluation of algorithms using daltonization method for colour compensation [43]. The details of the different state‐of‐art techniques existing in literature have been categorized in two types: (a) Subjective (SUB) that is subjective evaluation by evaluators and (b) Objective (OBJ) that is evaluation of algorithm through comparison with state‐of‐the‐art or simulated view of how colour blind would see.…”
Section: Review Of Existing Literaturementioning
confidence: 99%
“…A couple of authors have used Thurstone's Law of Comparative Judgment for seeking subjective feedback from the colour blind on the compensated images [41][42]. In 2017, Simon-Liedtke et al provided guidelines for the design and evaluation of algorithms using daltonization method for colour compensation [43]. The details of the different state-of-art techniques existing in litera-…”
Section: Review Of Existing Literaturementioning
confidence: 99%