A new approach to image enhancement for the visually impaired

Gao, Xiaohong; Loomes, Monica

doi:10.2352/issn.2470-1173.2016.20.color-325

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…Therefore, the impact of sensory impairments on reading speed will be assessed in this experiment through the use of a simulated reduction in visual acuity. A simulated visual impairment can be used to reduce a participant's visual and contrast sensitivity to simulate low vision (Elliott, Bullimore, Patla, & Whitaker, 1996;Gao & Loomes, 2016;Rousek & Hallbeck, 2011). One of the advantages of a simulated visual impairment is that this will result in a uniform reduction in visual acuity and contrast sensitivity across participants to determine the general impact of low visual acuity (e.g., 20/80).…”

Section: Methodsmentioning

confidence: 99%

“…The goggles were purchased from Fork in the Road Simulation Goggles (Vision Rehabilitation Services LLC, www.lowvisionsi mulators.com). Previous studies have used these simulator goggles to study, for example, ways to improve signage and navigation in health care settings, and they have been used to assess way in which digital displays can be adapted to be more user friendly for individuals with low vision (Gao & Loomes, 2016;Rousek & Hallbeck, 2011). A limitation in these studies, however, was that the researchers did not assess participant's baseline visual acuity, nor did they assess the degree to which the low vision simulators were successful in simulating a visual impairment.…”

Section: Methodsmentioning

confidence: 99%

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Validation of the International Reading Speed Texts in a Canadian Sample

et al. 2020

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Validation of the International Reading Speed Texts in a Canadian Sample Elliott MorriceThe English language IReST is a measure of continuous reading, developed and Validation of the International Reading Speed Texts in a Canadian SampleThe International Reading Speed Texts (IReST) have been developed as a standardized measure used to assess continuous reading in normally sighted individuals, and those with visual impairments (Trauzettel-Klosinski & Dietz, 2012). Within the IReST, each text contains a measure of mean reading rate (in words per minute) and variance (standard deviation), allowing for comparisons between an individual and the published reading rates. This assessment was developed in Europe, and has been translated and validated in 17 different languages, including English. The English language IReST texts were developed and normalized using a sample in the United Kingdom (UK), and as such, the texts use terms and phrases that are commonly used in the UK. Although the IReST were developed and normalized in the UK, it is sold internationally, and is used throughout the United States and Canada as a measure to assess reading speed. This raises the problem that because the normative values developed for the IReST are based on a UK English speaking sample, then these normative values may not be valid in a North American (NA) English speaking population. Therefore, the aim of the current thesis is to validate the IReST in an English-speaking NA sample.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Validation of the International Reading Speed Texts in a Canadian Sample

et al. 2020

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“…One challenge associated with medical-related image enhancement concerns the wide variety and individuality of pathologies that need to be accounted for in software [59]. Furthermore, the suboptimal ergonomics of the hardware in which this software embedded is often a reason why they fail to be used [136].…”

Section: Related Workmentioning

confidence: 99%

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Atanasiu

Marthot-Santaniello

2021

IJDAR

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This article develops theoretical, algorithmic, perceptual, and interaction aspects of script legibility enhancement in the visible light spectrum for the purpose of scholarly editing of papyri texts. Novel legibility enhancement algorithms based on color processing and visual illusions are compared to classic methods in a user experience experiment. (1) The proposed methods outperformed the comparison methods. (2) Users exhibited a broad behavioral spectrum, under the influence of factors such as personality and social conditioning, tasks and application domains, expertise level and image quality, and affordances of software, hardware, and interfaces. No single enhancement method satisfied all factor configurations. Therefore, it is suggested to offer users a broad choice of methods to facilitate personalization, contextualization, and complementarity. (3) A distinction is made between casual and critical vision on the basis of signal ambiguity and error consequences. The criteria of a paradigm for enhancing images for critical applications comprise: interpreting images skeptically; approaching enhancement as a system problem; considering all image structures as potential information; and making uncertainty and alternative interpretations explicit, both visually and numerically.

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“…Wang et al [22] proposed a color face image enhancement method using adaptive singular value decomposition in Fourier domain for face recognition. Gao et al [23] proposed an image enhancement method specifically for visual impairments. Li et al [24] proposed an adaptive fractional calculus of small probability strategy-based method for achieving image denoising and enhancement.…”

Section: Introductionmentioning

confidence: 99%

Block‐Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement

Hou

Liu

et al. 2019

Mathematical Problems in Engineering

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In this paper, we develop a novel linear singularity representation method using spatial K-neighbor block-extraction and Haar transform (BEH). Block-extraction provides a group of image blocks with similar (generally smooth) backgrounds but different image edge locations. An interblock Haar transform is then used to represent these differences, thus achieving a linear singularity representation. Next, we magnify the weak detailed coefficients of BEH to allow for image enhancement. Experimental results show that the proposed method achieves better image enhancement, compared to block-matching and 3D filtering (BM3D), nonsubsampled contourlet transform (NSCT), and guided image filtering.

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A new approach to image enhancement for the visually impaired

Abstract: Abstract.

Cited by 3 publications

References 10 publications

Validation of the International Reading Speed Texts in a Canadian Sample

Validation of the International Reading Speed Texts in a Canadian Sample

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Block‐Extraction and Haar Transform Based Linear Singularity Representation for Image Enhancement

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