47.4: Invited Paper: Wobulation: Doubling the Addressed Resolution of Projection Displays

Allen, Will; Ulichney, Robert

doi:10.1889/1.2036298

Cited by 56 publications

(59 citation statements)

References 3 publications

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“…Wobulated projectors show multiple unique slightly-shifted subimages using an opto-mechanical image shifter [Allen and Ulichney 2005], synchronized with the rapid sub-image projection to avoid flickering. This enhances the perceived image resolution and increases the perceived pixel area, which is otherwise limited by the door grid between physical pixels.…”

Section: Optimal Reconstructionmentioning

confidence: 99%

“…They use an optimization for arbitrary (not raster-aligned) sub-pixel configurations. The present work is similar to [Allen and Ulichney 2005] and [Damera-Venkata and Chang 2009] in the sense that a highresolution image is transformed into a set of low-resolution images, but we aim at a single desktop display or projector with a limited resolution and fixed pixel layout. We overcome these limitations by making use of smooth pursuit eye movement (SPEM) in arbitrary image sequences.…”

Section: Optimal Reconstructionmentioning

confidence: 99%

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Apparent resolution enhancement for animations

Templin

Didyk

Ritschel

et al. 2011

Proceedings of the 27th Spring Conference on Computer Graphics

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Figure 1: Highly detailed animations can be difficult to reproduce on current display devices. Here, four frames from animations used to evaluate our apparent resolution enhancement are shown: (a) rendering of a ball textured with text; (b) rendering of a detailed assembly of fibers; (c) a rendered short film ("Big Buck Bunny" c by Blender Foundation); (d) high-resolution content captured with a video camera. AbstractPresenting the variety of high resolution images captured by highquality devices, or generated on the computer, is challenging due to the limited resolution of current display devices. Our recent work addressed this problem by taking into account human perception. By applying a specific motion to a high-resolution image shown on a low-resolution display device, human eye tracking and integration could be exploited to achieve apparent resolution enhancement. To this end, the high-resolution image is decomposed into a sequence of temporally varying low-resolution images that are displayed at high refresh rates. However, this approach is limited to a specific class of simple or constant movements, i. e. "panning". In this work, we generalize this idea to arbitrary motions, as well as to videos with arbitrary motion flow. The resulting image sequences are compared to a range of other down-sampling methods.

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Section: Optimal Reconstructionmentioning

confidence: 99%

Section: Optimal Reconstructionmentioning

confidence: 99%

Apparent resolution enhancement for animations

Templin

Didyk

Ritschel

et al. 2011

Proceedings of the 27th Spring Conference on Computer Graphics

View full text Add to dashboard Cite

show abstract

“…Instead, the source of the limitation in our setting is the 'noise' introduced by the clamping, which does not lead to instabilities, but rather limits the amplification factor achieved by the solver described in Algorithm 1. This limitation also applies to the existing multi-projector super-sampling methods [Damera-Venkata and Chang 2007b;Allen and Ulichney 2005] and to the method of Dydik et al [Didyk et al 2010a]. …”

Section: F Berthouzoz and R Fattalmentioning

confidence: 99%

“…This approach must take into account intra-and inter-projector variations and requires careful geometric, photometric and color calibrations of each component projector. Allen and Ulichney [2005] describe a way to jitter light by a precise mirror shifting mechanism, inside a projector, to achieve higherresolution diamond pixel patterns. Didyk et al [2010a] bring these resolution enhancement efforts to LCD displays.…”

Section: Introductionmentioning

confidence: 99%

Resolution enhancement by vibrating displays

Berthouzoz

Fattal

2012

ACM Trans. Graph.

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We present a method that makes use of the retinal integration time in the human visual system for increasing the resolution of displays. Given an input image with a resolution higher than the display resolution, we compute several images that match the display's native resolution. We then render these low-resolution images in a sequence that repeats itself on a high refreshrate display. The period of the sequence falls below the retinal integration time and therefore the eye integrates the images temporally and perceives them as one image. In order to achieve resolution enhancement we apply small-amplitude vibrations to the display panel and synchronize them with the screen refresh cycles. We derive the perceived image model and use it to compute the low-resolution images that are optimized to enhance the apparent resolution of the perceived image. This approach achieves resolution enhancement without having to move the displayed content across the screen and hence offers a more practical solution than existing approaches. Moreover, we use our model to establish limitations on the amount of resolution enhancement achievable by such display systems. In this analysis we draw a formal connection between our display and super-resolution techniques and find that both methods share the same limitation, yet this limitation stems from different sources. Finally, we describe in detail a simple physical realization of our display system and demonstrate its ability to match most of the spectrum displayable on a screen with twice the resolution.

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“…The low resolution images are superimposed to approximate the desired high resolution image. Examples of superimposed projection include Wobulation [2] and multi-projector superimposition [3,4,5]. In Wobulation, multiple low resolution subframes of data are generated from each high resolution frame of image data.…”

Section: Introductionmentioning

confidence: 99%

On the Resolution Limits of Superimposed Projection

Damera-Venkata

Chang

2007

2007 IEEE International Conference on Image Processing

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Multi-projector super-resolution is the dual of multi-camera superresolution. The goal of projector super-resolution is to produce a high resolution frame via superimposition of multiple low resolution subframes. Prior work claims that it is impossible to improve resolution via superimposed projection except in specialized circumstances. Rigorous analysis has been previously restricted to the special case of uniform display sampling, which reduces the problem to a simple shift-invariant deblurring. To understand the true behavior of superimposed projection as an inverse of classical camera super-resolution, one must consider the effects of non-uniform displacements between component subframes. In this paper, we resolve two fundamental theoretical questions concerning resolution enhancement via superimposed projection. First, we show that it is possible to reproduce frequencies that are well beyond the Nyquist limit of any of the component subframes. Second, we show that nonuniform sampling and pixel reconstruction functions impose fundamental limits on achievable resolution.

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47.4: Invited Paper: Wobulation: Doubling the Addressed Resolution of Projection Displays

Cited by 56 publications

References 3 publications

Apparent resolution enhancement for animations

Apparent resolution enhancement for animations

Resolution enhancement by vibrating displays

On the Resolution Limits of Superimposed Projection

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