Image Quality: A Comparison of Photographic and Television Systems

Schade, Otto H.

doi:10.5594/j03153

Cited by 33 publications

(12 citation statements)

References 14 publications

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“…Many of the techniques employed by modern IQA algorithms are founded in the early research on quality evaluation 2 ISRN Signal Processing of optical systems and analog television broadcast and display systems (e.g., [14][15][16][17][18][19][20][21][22][23][24][25]). For example, in their 1940 paper titled "Quality in Television Pictures, " Goldmark and Dyer [16] stated that "The factors which chiefly determine the quality of a television picture are (1) definition, (2) contrast range, (3) gradation, (4) brilliance, (5) flicker, (6) geometric distortion, (7) size, (8) color, and (9) noise. "…”

Section: Introductionmentioning

confidence: 99%

“…It is interesting to note that nearly all of these early research efforts up through the 1960s mentioned the need to take into account the characteristics of human vision during the quality assessment process. Five of the earliest efforts to explicitly model properties of the human visual system (HVS) for IQA were published in the early 1970s by Sakrison and Algazi [22], by Budrikis [23], by Stockham [24], by Mannos and Sakrison [26], and by Schade [25]. Although no extensive IQA algorithms were presented in these early papers, many of the properties which are used in modern HVS-based IQA algorithms-such as luminance and contrast sensitivity and visual masking-were also suggested in these papers.…”

Section: Introductionmentioning

confidence: 99%

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Seven Challenges in Image Quality Assessment: Past, Present, and Future Research

Chandler

2013

ISRN Signal Processing

375

191

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Image quality assessment (IQA) has been a topic of intense research over the last several decades. With each year comes an increasing number of new IQA algorithms, extensions of existing IQA algorithms, and applications of IQA to other disciplines. In this article, I first provide an up-to-date review of research in IQA, and then I highlight several open challenges in this field. The first half of this article provides discuss key properties of visual perception, image quality databases, existing full-reference, no-reference, and reduced-reference IQA algorithms. Yet, despite the remarkable progress that has been made in IQA, many fundamental challenges remain largely unsolved. The second half of this article highlights some of these challenges. I specifically discuss challenges related to lack of complete perceptual models for: natural images, compound and suprathreshold distortions, and multiple distortions, and the interactive effects of these distortions on the images. I also discuss challenges related to IQA of images containing nontraditional, and I discuss challenges related to the computational efficiency. The goal of this article is not only to help practitioners and researchers keep abreast of the recent advances in IQA, but to also raise awareness of the key limitations of current IQA knowledge.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Seven Challenges in Image Quality Assessment: Past, Present, and Future Research

Chandler

2013

ISRN Signal Processing

375

191

View full text Add to dashboard Cite

show abstract

“…Since the eye integrates approximately 4 video frames 16,24 during visualization, the SNR per frame is therefore SNR OBJ,FRAME Ͼ 5 ͱ4 .…”

Section: Signal-to-noise Ratio: Snrmentioning

confidence: 99%

Feasibility of a large area x‐ray sensitive vidicon for medical fluoroscopy: Signal and noise factors

Luhta

Rowlands

1997

Medical Physics

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A large area x-ray sensitive vidicon is being investigated as an alternative to the x-ray image intensifier and television camera combination for medical fluoroscopy. Signal generation in an x-ray vidicon involves an x-ray photoconductive layer whose surface is scanned by an electron beam. The single x-ray to electron conversion stage of the x-ray vidicon offers a greatly improved modulation transfer function (MTF) over the x-ray image intensifier. This superior MTF allows signal and x-ray quantum noise at high spatial frequencies to be passed to the preamplifier with less attenuation. In cardiac cine applications this would allow quantum noise limited operation at higher spatial frequencies than is possible with the x-ray image intensifier system.

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“…Display curvature radius, as a new media form factor, can increase presence [4], visual comfort [5], image quality [4], preference [6], and legibility [7], and reduce visual fatigue [8] and perceptual distortion [9]; however, it can also induce negative shape aftereffects [10,11] and longer visual processing times [12]. Herein, visual comfort is defined as the subjective impression of comfort caused by visual stimuli [13], and image quality, as an important evaluation factor for TV watching experience [14], is subjectively determined through a comparison of the displayed image and the viewer's image impression [15].…”

Section: Introductionmentioning

confidence: 99%

Curved TVs improved watching experience when display curvature radii approached viewing distances: Effects of display curvature radius, viewing distance, and lateral viewing position on TV watching experience

Park

Kyung

et al. 2020

PLoS ONE

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Although watching TV often involves multiple viewing distances and viewers, less attention has been paid to the effects of display curvature radius, viewing distance, and lateral viewing position on TV watching experience. This study examined the effects of four display curvature radii (2300R, 4000R, 6000R, and flat), two viewing distances (2.3 m and 4 m), and five lateral viewing positions (P 1-P 5 ; 0, 35, 70, 105, and 140 cm off-center) on seven TV watching experience elements (spatial presence, engagement, ecological validity, negative effects, visual comfort, image quality, and user satisfaction). Fifty-six individuals (14 per display curvature radius) were seated in pairs to watch videos, each time at a different viewing position (2 viewing distances × 5 paired lateral viewing positions). The spatial presence and engagement increased when display curvature radius approached a viewing distance and lateral viewing position approached P 1 , with 4000R-4m-P 1 (display curvature radius-viewing distance-lateral viewing position) providing the best results. Lateral viewing position alone significantly affected five TV watching experience elements; the spatial presence and engagement decreased at P 3-P 5 , and ecological validity, image quality, and user satisfaction decreased at P 4-P 5. However, display curvature radius alone did not appreciably affect TV watching experience, and viewing distance alone significantly affected visual comfort only, with a 4-m viewing distance increasing visual comfort. This study demonstrated that effective display curvature radii for watching TV are viewing distance-dependent, and less off-center lateral viewing positions (P 1-P 2) are recommended for TV watching experience. Finally, among the TV watching experience elements, engagement explained user satisfaction to the greatest degree.

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Image Quality: A Comparison of Photographic and Television Systems

Cited by 33 publications

References 14 publications

Seven Challenges in Image Quality Assessment: Past, Present, and Future Research

Seven Challenges in Image Quality Assessment: Past, Present, and Future Research

Feasibility of a large area x‐ray sensitive vidicon for medical fluoroscopy: Signal and noise factors

Curved TVs improved watching experience when display curvature radii approached viewing distances: Effects of display curvature radius, viewing distance, and lateral viewing position on TV watching experience

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