Color Error in the Digital Camera Image Capture Process

Penczek, John; Boynton, Paul A.; Splett, Jolene D.

doi:10.1007/s10278-013-9644-1

Cited by 24 publications

(24 citation statements)

References 3 publications

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“…51 Since TP uses the same formula as ΔE, it is likely that TP values obtained with digital image analysis would be similar to those measured with clinical spectrophotometer. 38 The experimental setup used in the present investigation applied what is generally accepted as ideal lighting conditions and image capturing settings, 52 thus optimizing color coordinates reading. In this study, the use of Photoshop Creative Cloud version 14.0 × 16 in which L* values are given on a scale from 0 to 100 eliminates the need to use conversion software for rescaling.…”

Section: Discussionmentioning

confidence: 99%

Relative Translucency of a Multilayered Ultratranslucent Zirconia Material

Shamseddine¹,

Majzoub²

2017

The Journal of Contemporary Dental Practice

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Aim:The aim of this study was to compare the translucency parameter (TP) of ultratranslucent multilayered (UTML) zirconia according to thickness and layer level. Materials and methods:Rectangles of UTML zirconia with four layers [dentin layer (DEL), first transitional layer (FTL), second transitional layer (STL), and enamel layer (ENL)] and four different thicknesses (0.4, 0.6, 0.8, and 1 mm) were milled from blanks. Digital images were taken in a dark studio against white and black backgrounds under simulated daylight illumination and international commission on illumination (CIE) Lab* color values recorded using Photoshop Creative Cloud software. The TP was computed and compared according to thickness and layer level using analysis of variance (ANOVA) followed by Bonferroni post hoc analysis for multiple comparisons. Significance was set at p < 0.05. Results:In each thickness, TP values were similar between any two layers. The significant effect of thickness on the TP was observed only in the first two layers. In the DEL, translucency was significantly greater at 0.4 mm than all other thicknesses. In the FTL, differences were significant between 0.4 and 0.8 mm and between 0.4 and 1 mm. Conclusion:The investigated zirconia does not seem to show gradational changes in relative translucency from dentin to enamel levels regardless of the thickness used. Thickness affected the TP only in the first two layers with better translucency at 0.4 mm.Clinical significance: Since relative translucency does not seem to be significantly different between layers, clinicians can modify the apicocoronal positioning of the UTML layers within the restoration according to the desired Chroma without any implications on the clinically perceived translucency. While the thickness of 0.4 mm may be suggested for anterior esthetic veneers because of its higher translucency, the other thicknesses of 0.6 to 1 mm can be used to mask colored abutments in full contour restorations.

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Section: Discussionmentioning

confidence: 99%

Relative Translucency of a Multilayered Ultratranslucent Zirconia Material

Shamseddine¹,

Majzoub²

2017

The Journal of Contemporary Dental Practice

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“…The factors that influence the digital camera color error are discussed in a prior publication. [5] Although the display is a minor contributor to the total color error, it still needs to be minimized. This is commonly done through various color calibration methods.…”

Section: Resultsmentioning

confidence: 99%

“…The color error produced by the camera capture process was evaluated, and reported in a prior publication. [5] A relative comparison of the digital camera color error to the display error will be discussed later.…”

Section: Measurement Methodsmentioning

confidence: 99%

26.4: Display Color Error in the Medical Digital Image Workflow

Penczek

Boynton

2014

Symp Digest of Tech Papers

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“…For this purpose, the test chart was illuminated with lights of colour temperatures 3200 K and 5500 K. Secondly, the reference colours of the Xrite reference chart [43] were measured as captured through a handheld dermoscopy device and illuminated by the integrated polarised LED light. The colours from the captured images were, after that, evaluated, and compared to the reference value by the CIELAB colour difference ΔE, which is proportional to the colour difference as seen by a human observer [30,41]. Dermoscopy images were captured through the DermLite 4 DL handheld dermoscopy device, (Dermlite, 3Gen, Inc. , San Juan Capistrano, CA, USA) [44], which was connected by a magnetic ring adapter to a mobile phone and a mirrorless digital camera.…”

Section: Methodsmentioning

confidence: 99%

Image Quality Assessment of Digital Image Capturing Devices for Melanoma Detection

Dugonik

Marovt

et al. 2020

Applied Sciences

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The fast-growing incidence of skin cancer, especially melanoma, is the guiding principle for intense development of various digital image-capturing devices providing easier recognition of melanoma by dermatologists. Handheld and digital dermoscopy, following of mole changes with smartphones and digital analysing of mole images, is based on evaluation of the colours, shape and deep structures in the skin moles. Incorrect colour information of an image, under- or overexposed images, lack of sharpness and low resolution of the images, can lead to melanoma misdiagnosis. The purpose of our study was to determine the colour error in the image according to the given lighting conditions and different camera settings. We focused on measuring the image quality parameters of smartphones and high-resolution cameras to compare them with the results of state-of-the-art dermoscopy device systems. We applied standardised measuring methods. The spatial frequency response method was applied for measuring the sharpness and resolution of the tested camera systems. Colour images with known reference values were captured from the test target, to evaluate colour error as a CIELAB (Commission Internationale de l’Eclairage) ΔE*ab colour difference as seen by a human observer. The results of our measurements yielded two significant findings. First, all tested cameras produced inaccurate colours when operating in automatic mode, and second, the amount of sharpening was too intensive. These deficiencies can be eliminated through adjusting the camera parameters manually or by image post-production. The presented two-step camera calibration procedure improves the colour accuracy of captured clinical and dermoscopy images significantly.

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Color Error in the Digital Camera Image Capture Process

Cited by 24 publications

References 3 publications

Relative Translucency of a Multilayered Ultratranslucent Zirconia Material

Relative Translucency of a Multilayered Ultratranslucent Zirconia Material

26.4: Display Color Error in the Medical Digital Image Workflow

Image Quality Assessment of Digital Image Capturing Devices for Melanoma Detection

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