What type of study is this?

This is a Mathematical modeling study (also classified as: Simulation modeling).

Analysis of sinusoidal transformation model of dark tone digital images

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Mathematical modeling reduces posterization and improves contrast sensitivity in digital images, suggesting higher quality for printing.

Sinusoidal transformation eliminates posterization, enhancing image quality without losing detail.
The technique shows initial quantization shifts of 0.5–2 units, significantly lower than traditional gamma transformation.
Developed in MATLAB: Simulink, the model calculates gradation characteristics and demonstrates enhanced contrast sensitivity.
The approach ensures high print quality by improving tone perception, beneficial for the printing industry.

Lutskiv et al. (2025) studied this question.

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View Full Paper

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Authors

Mathematical modeling reduces posterization and improves contrast sensitivity in digital images, suggesting higher quality for printing.

Sinusoidal transformation eliminates posterization, enhancing image quality without losing detail.
The technique shows initial quantization shifts of 0.5–2 units, significantly lower than traditional gamma transformation.
Developed in MATLAB: Simulink, the model calculates gradation characteristics and demonstrates enhanced contrast sensitivity.
The approach ensures high print quality by improving tone perception, beneficial for the printing industry.

Lutskiv et al. (2025) studied this question.

View Full Paper

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Bookmark