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Upsampling

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...

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Gamut mapping based image enhancement algorithm for color deficiencies.

Lihao Xu¹, Qinyuan Li², Xiaoxuan Liu²

¹School of Digital Media and Art Design, Hangzhou Dianzi University, China.

Biomedical Optics Express

|December 3, 2021

Summary

This summary is machine-generated.

This study enhances images for people with color vision deficiencies by simulating color gamuts and re-coloring images. This method improves color discrimination for color deficient observers (CDOs).

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Area of Science:

Computer Vision
Image Processing
Human-Computer Interaction

Background:

Color vision deficiencies affect millions globally.
Existing image enhancement methods often fail to adequately address the perceptual needs of color deficient observers (CDOs).

Purpose of the Study:

To develop and validate a novel approach for enhancing color images tailored to individuals with color vision deficiencies.
To improve color discrimination and visual experience for CDOs.

Main Methods:

Evaluation of color deficient observer (CDO) type and severity.
Physiologically-based simulation of perceived color gamut for CDOs.
Image re-coloring using gamut mapping from color normal observers (CNOs) to CDOs, preserving perceived hue.

Main Results:

Psychophysical experiments validated the proposed image enhancement method.
The approach demonstrated effectiveness in improving color discrimination for CDOs.
The gamut mapping technique successfully adapted images for CDOs.

Conclusions:

The developed method offers a promising solution for enhancing color images for individuals with color vision deficiencies.
Preserving perceived hue during gamut mapping is crucial for effective color enhancement.
This approach has significant implications for accessibility in digital media.