Spatio-velocity CSF as a function of retinal velocity using unstabilized stimuli

Laird, Justin; Rosen, Mitchell R.; Pelz, Jeff B.; Montag, Ethan D.; Daly, Scott

doi:10.1117/12.647870

Cited by 48 publications

(28 citation statements)

References 13 publications

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“…As confirmed in an eye tracking experiment [Laird et al 2006] such a stabilization is almost perfect for steady linear motion with velocities in the range of 0.625-2.5 deg /s, which we consider in this work. The performance stays very good up to 7 deg /s.…”

Section: Perception Of Linearly Moving Imagesmentioning

confidence: 48%

Apparent display resolution enhancement for moving images

Didyk

Eisemann

Ritschel

et al. 2010

ACM SIGGRAPH 2010 Papers

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Figure 1: Depicting fine details such as hair (left), sparkling car paint (middle) or small text (right) on a typical display is challenging and often fails if the display resolution is insufficient. In this work, we show that smooth and continuous subpixel image motion can be used to increase the perceived resolution. By sequentially displaying varying intermediate images at the display resolution (as depicted in the bottom insets), subpixel details can be resolved at the retina in the region of interest due to fixational eye tracking of this region. AbstractLimited spatial resolution of current displays makes the depiction of very fine spatial details difficult. This work proposes a novel method applied to moving images that takes into account the human visual system and leads to an improved perception of such details. To this end, we display images rapidly varying over time along a given trajectory on a high refresh rate display. Due to the retinal integration time the information is fused and yields apparent super-resolution pixels on a conventional-resolution display. We discuss how to find optimal temporal pixel variations based on linear eye-movement and image content and extend our solution to arbitrary trajectories. This step involves an efficient method to predict and successfully treat potentially visible flickering. Finally, we evaluate the resolution enhancement in a perceptual study that shows that significant improvements can be achieved both for computer generated images and photographs.

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Section: Perception Of Linearly Moving Imagesmentioning

confidence: 48%

Apparent display resolution enhancement for moving images

Didyk

Eisemann

Ritschel

et al. 2010

ACM SIGGRAPH 2010 Papers

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show abstract

“…First, it may be important to adopt the visual model defined in [21], which takes eye movement into account, which can be useful for flickering reduction. Second, a visual model can be introduced to design a probability model of digital halftoning, as we have described in Section IV We plan to study these issues that have not been covered in video halftoning.…”

Section: Discussionmentioning

confidence: 99%

“…The first case includes the distortion generated from the pixel differences smaller than . Under this circumstance, the distortion resulted from halftoning at the position of frame can be derived as (21) Recall that the halftone value is either 255 or 0. According to (17), (21) can be rewritten as (22) The second case consists of distortions generated from the pixel difference larger than .…”

Section: Distortion Estimationmentioning

confidence: 99%

Temporal Frequency of Flickering-Distortion Optimized Video Halftoning for Electronic Paper

Hsu

Pei

2011

IEEE Trans. on Image Process.

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Abstract-Video halftoning is a key technology for use in electronic paper (e-paper) or smart paper, which is an emerging display device that has received considerable attention recently. In this paper, a temporal frequency of flickering-distortion optimized video halftoning method is proposed. We first uncover three visual defects that conventional neighboring frame referencing-based video halftoning methods, due to their sequential changes of reference frames, will encounter. To deal with the problem, we then propose a reference frame update per GOP-based error diffusion video halftoning method based on a flickering sensitivity-based human visual model. To efficiently compromise between average temporal frequency of flickering (ATFoF) and visual quality, temporal frequency of flickering-distortion (TFoFD) is presented as a metric for video halftoning performance evaluation. Based on the proposed probability model of video halftoning, the TFoFD curve can be accurately estimated to optimize the tradeoff between quality and ATFoF before the video is halftoned. Our temporal frequency of flickering-distortion optimization strategy can also be applied to other video halftoning schemes for performance improvement. Experimental results and comparisons with known methods demonstrate the effectiveness of our video halftoning method.Index Terms-Electronic paper, flickering, flickering sensitivity, temporal frequency of flickering-distortion (TFoFD), video halftoning.

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“…The SV-CSF model was originally proposed by S. Daly et al [15], [16]. They proposed the SV-CSF model based on the experimental data of some previous works [9], [12] and their brief experiments.…”

Section: Spatio-velocity Contrast Sensitivity Functionmentioning

confidence: 99%

Video Quality Assessment Using Spatio-Velocity Contrast Sensitivity Function

Hirai

Tumurtogoo

Kikuchi

et al. 2010

IEICE Trans. Inf. & Syst.

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SUMMARYDue to the development and popularization of highdefinition televisions, digital video cameras, Blu-ray discs, digital broadcasting, IP television and so on, it plays an important role to identify and quantify video quality degradations. In this paper, we propose SV-CIELAB which is an objective video quality assessment (VQA) method using a spatio-velocity contrast sensitivity function (SV-CSF). In SV-CIELAB, motion information in videos is effectively utilized for filtering unnecessary information in the spatial frequency domain. As the filter to apply videos, we used the SV-CSF. It is a modulation transfer function of the human visual system, and consists of the relationship among contrast sensitivities, spatial frequencies and velocities of perceived stimuli. In the filtering process, the SV-CSF cannot be directly applied in the spatial frequency domain because spatial coordinate information is required when using velocity information. For filtering by the SV-CSF, we obtain video frames separated in spatial frequency domain. By using velocity information, the separated frames with limited spatial frequencies are weighted by contrast sensitivities in the SV-CSF model. In SV-CIELAB, the criteria are obtained by calculating image differences between filtered original and distorted videos. For the validation of SV-CIELAB, subjective evaluation experiments were conducted. The subjective experimental results were compared with SV-CIELAB and the conventional VQA methods such as CIELAB color difference, Spatial-CIELAB, signal to noise ratio and so on. From the experimental results, it was shown that SV-CIELAB is a more efficient VQA method than the conventional methods. key words: objective video quality assessment, spatio-velocity contrast sensitivity function, image diffrence, subjective evaluation, rank order correlation coefficient

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Spatio-velocity CSF as a function of retinal velocity using unstabilized stimuli

Cited by 48 publications

References 13 publications

Apparent display resolution enhancement for moving images

Apparent display resolution enhancement for moving images

Temporal Frequency of Flickering-Distortion Optimized Video Halftoning for Electronic Paper

Video Quality Assessment Using Spatio-Velocity Contrast Sensitivity Function

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