A Unified Method for Crosstalk Reduction in Multiview Displays

Zhou, Min; Wang, Haitao; Li, Weiming; Jiao, Shaohui; Hong, Tang Sai; Wang, Shandong; Sun, Xingming; Wang, Xiying; Kim, Ji-Yeun; Nam, Dongkyung

doi:10.1109/jdt.2014.2305995

Cited by 19 publications

(5 citation statements)

References 10 publications

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“…In another work, Lee and Ra [16] attempt to find where, among all viewing zones, each subpixel looks brightest and then to conduct view assignment accordingly. This approach is supplemented by Zhou et al [11], who concretely show how to find the pixel correspondences between the panel and captured images using structured lights. The scheme can deal with complicated types of misalignments, including inhomogeneous ones, but is not convenient to apply in practice because it requires too many images to be photographed from all viewing directions.…”

Section: Related Workmentioning

confidence: 99%

“…Similar approaches follow. Zhou et al [11] consider the same crosstalk model, but they impose the range constraint (i.e., between 0 and 255) on the new intensity values. There might be no solution that exactly satisfies all the linear equations as well as the range constraint.…”

Section: Related Workmentioning

confidence: 99%

“…Certain studies (e.g.,[11]) define "crosstalk" in wide terms, while classifying it into intrinsic crosstalk and extrinsic crosstalk. What we consider here corresponds to the extrinsic one.…”

mentioning

confidence: 99%

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3D Display Calibration by Visual Pattern Analysis

Hwang¹,

Chang²,

Nam³

et al. 2017

IEEE Trans. on Image Process.

Self Cite

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Abstract-Nearly all 3D displays need calibration for correct rendering. More often than not, the optical elements in a 3D display are misaligned from the designed parameter setting. As a result, 3D magic does not perform well as intended. The observed images tend to get distorted.In this paper, we propose a novel display calibration method to fix the situation. In our method, a pattern image is displayed on the panel and a camera takes its pictures twice at different positions. Then, based on a quantitative model, we extract all display parameters (i.e., pitch, slanted angle, gap or thickness, offset) from the observed patterns in the captured images. For high accuracy and robustness, our method analyzes the patterns mostly in frequency domain. We conduct two types of experiments for validation; one with optical simulation for quantitative results and the other with real-life displays for qualitative assessment. Experimental results demonstrate that our method is quite accurate, about a half order of magnitude higher than prior work; is efficient, spending less than 2 s for computation; and is robust to noise, working well in the SNR regime as low as 6 dB.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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3D Display Calibration by Visual Pattern Analysis

Hwang¹,

Chang²,

Nam³

et al. 2017

IEEE Trans. on Image Process.

Self Cite

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show abstract

“…Philips Research Laboratories adopted seven‐view architecture to populate individual views that reach the observer's eyes. Zhou developed a method to correct subpixel values in the synthetic images, for example, crosstalk coefficient calculation. Pei considered all arriving rays to derive each subpixel's weighted value to alleviate crosstalk and smooth fusion of different views and the subpixel multiplexing method for 3D lenticular display .…”

Section: Impactmentioning

confidence: 99%

“…Two different approaches are commonly used to reduce the crosstalk effects: (1) to incorporate extra elements, for example, parallax barriers, pixel masks, or add a timing control scheme; and (2) to correct subpixel values in the synthetic images to minimize the crosstalk. Examples include crosstalk coefficient calculation or weighted value . All of these methods reduce crosstalk in the viewpoints reasonably well.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional lenticular display synthetic image rendering based on light field acquisition

Pei

Zhang

et al. 2017

Jnl Soc Info Display

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Crosstalk is a critical defect affecting image quality in multiview lenticular 3D displays. Existing optimization methods require tedious computations and device‐specific optical measurements, and results are often suboptimal. We propose a new method, on the basis of light field acquisition and optimization, for crosstalk reduction in super multiview displays. Theory and algorithms were developed, and experimental validation results showed superior performance.

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P‐73: Lenticular Lens Parameter Estimation Using Single Image for Crosstalk Reduction of Three‐Dimensional Multi‐View Display

Hwang

Park

Chang

et al. 2015

Symp Digest of Tech Papers

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A novel method of estimating the parameters of a lenticular lens array is proposed. A single display image with a stripe pattern is used to estimate the slanted angle and pitch of a lenticular lens. The lens parameters can be derived from the observed pattern parameters of a captured image. Experiments with a simulated data set result in slanted angle and pitch estimation errors of 0.0077° and 0.0002 mm, respectively. The proposed method is also robust to image noise. We verify the performance of our method, which reduces crosstalk when applied to a conventional multi-view display.

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A Unified Method for Crosstalk Reduction in Multiview Displays

Cited by 19 publications

References 10 publications

3D Display Calibration by Visual Pattern Analysis

3D Display Calibration by Visual Pattern Analysis

Three-dimensional lenticular display synthetic image rendering based on light field acquisition

P‐73: Lenticular Lens Parameter Estimation Using Single Image for Crosstalk Reduction of Three‐Dimensional Multi‐View Display

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