Digital watermarking on recolored images for deuteranopia

Pramoun, Thitiporn; Amornraksa, Thumrongrat

doi:10.1145/3162957.3163011

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The direction and amount of the finger movement decides the direction of the shear for the real-time transformation. An image watermarking method on compensated images for deuteranopes was presented in 2017 by Thitiporn Pramoun and Thumrongrat Amornraksa (16).The LMS model was embedded in the M component so that it does not affect the color perception of the deuteranopes. The strength of the watermark was adjusted in accordance with the luminance component derived from the LMS space.…”

Section: Color Compensation Algorithmsmentioning

confidence: 99%

A Fuzzy Based Method to Simulate and Color Correct Images for Varying Degrees of Color Blindness

Meenakshi¹,

Singla²

2022

ECS Trans.

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Eyesight is a key sense that human beings possess. Reports shows that color blindness, one form of color vision deficiency(CVD), touches about 8% of the males and 0.5% females (1). Patients of color blindness are unable to differentiate certain colors called confusion colors. Inability to differentiate red results in red blindness, green in green blindness, and blue/yellow in blue-yellow blindness. Routine activities of daily life become a challenge for the colorblind due to this inability. Digital solutions in the area of computer vision can be used to make lives easier for the colorblind (2). The authors propose a fuzzy based method to simulate and compensate confusion colors in images for varying degrees of color blindness. Experiments were conducted on images for simulation and color compensation. Observations of the color compensation was measured with normal vision and colorblind patients. It resulted in 91% accuracy for red green color blindness. The efficiency of simulation was measured by evaluation with state-of-the-art online tools and literature. The results show 95.8% accuracy. The results obtained affirms the efficiency of the proposed fuzzy method.

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Section: Color Compensation Algorithmsmentioning

confidence: 99%

A Fuzzy Based Method to Simulate and Color Correct Images for Varying Degrees of Color Blindness

Meenakshi¹,

Singla²

2022

ECS Trans.

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“…In addition, the authors also studied the state-of-the-art methods that have been used to evaluate of effectiveness of colour compensation algorithms. The observation shows that subjective feedback is elicited on the compensated images from the colour blind or simulation is done on the compensated images and feedback from normal vision users is sought [31][32][33][34][35]. Other authors have compared the compensated images with the state-of-the-art and checked the effectiveness in terms of contrast, clarity and computation time [36][37][38][39][40].…”

Section: Review Of Existing Literaturementioning

confidence: 99%

A novel image quality assessment method and coefficient of quality for digital solutions of colour blindness

Swaminathan

Singla

2021

IET Image Processing

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Eyesight is one of the primary senses that human beings have. Reports show that colour blindness, a form of colour vision deficiency (CVD), affects about 8% of the male population and 0.5% of female population. The Assistive Technology Act of 2004 lays focus on technologies that help individuals with disabilities and deficiencies. With the rapid advancement in technologies, several assistive solutions are available for visually impaired or CVD patients. Such solutions involve simulation and compensation of conflicting colours to help the colour blind in the visual perception of colours. Given the increased usage of the web, post the pandemic, these solutions improve the quality of life for the colour blind. Defining the image quality assessment criteria for such digital solutions becomes imperative. The study proposes a novel method for image quality assessment of digital solutions aimed at assisting the colour blind users. The proposed coefficient of quality (CQ) would be useful to rank colour compensation and recolouring algorithms. Experiments were conducted with a novel questionnaire set designed for this quality measurement. The results affirm the efficiency of the assessment method proposed. This will also provide objective feedback to the researchers and experts in this area to improve their solutions for CVD patients.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Digital watermarking on recolored images for deuteranopia

Cited by 2 publications

References 5 publications

A Fuzzy Based Method to Simulate and Color Correct Images for Varying Degrees of Color Blindness

A Fuzzy Based Method to Simulate and Color Correct Images for Varying Degrees of Color Blindness

A novel image quality assessment method and coefficient of quality for digital solutions of colour blindness

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