A Psychophysical Study Exploring Judder Using Fundamental Signals and Complex Imagery

There are well-known observations of movie content being displayed at different frame rates. Although the terms are not consistent across the industry, four main degradations are observed of the signal as compared to nonsampled motion (i.e., real-world motion): (1) nonsmooth motion, (2) false multiple edges, (3) flickering, and (4) motion blur. In natural imagery, all four of these effects are generally visible at typical movie frame rates. The spatiotemporal window of visibility has proved successful in describing when motion looks distorted from the real-world smooth motion. However, that model predicts only detection performance and does not address the appearance or magnitude of motion distortions. In addition, well-known image capture and display parameters are also involved with frame rate questions, such as exposure duty cycle (angle), object speed, and object contrast. There are also known interactions with brightness and contrast, which are also generally linked in the end-to-end system. For example, the Ferry-Porter law1 of psychophysics indicates the temporal frequency bandwidth of vision increases with increasing adapting luminance. We aimed to isolate the nonsmooth motion component of judder in a psychophysical study by using fundamental test signals, such as the Gabor signal. Two-interval forced choice methodology was used to generate interval scales of the magnitude of judder, or judderness. Results are presented for the viewer assessment of the magnitude of judder/judderness as a function of these key parameters tested in isolation.

[1]  I. Rentschler,et al.  Peripheral vision and pattern recognition: a review. , 2011, Journal of vision.

[2]  M. Kendall,et al.  ON THE METHOD OF PAIRED COMPARISONS , 1940 .

[3]  Jeff B. Pelz,et al.  Spatio-velocity CSF as a function of retinal velocity using unstabilized stimuli , 2006, Electronic Imaging.

[4]  C. J. Keemink,et al.  Contrast sensitivity for oscillating sine wave gratings during ocular fixation and pursuit , 1988, Vision Research.

[5]  S Marcelja,et al.  Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.

[6]  D. H. Kelly Spatio-temporal frequency characteristics of color-vision mechanisms* , 1974 .

[7]  M. A. Bouman,et al.  Spatial Modulation Transfer in the Human Eye , 1967 .

[8]  Ethan D. Montag,et al.  Empirical formula for creating error bars for the method of paired comparison , 2006, J. Electronic Imaging.

[9]  Pete Lude Laser-Illuminated Projectors: A Landmark Year , 2014 .

[10]  James O. Larimer,et al.  31:3 Judder-Induced Edge Flicker at Zero Spatial Contrast , 2003 .

[11]  Jennifer Gille,et al.  41.2: Judder-Induced Edge Flicker in Moving Objects , 2001 .

[12]  Tatsuto Takeuchi,et al.  PII: S0042-6989(98)00019-4 , 1998 .

[13]  Andrew B. Watson,et al.  Window of visibility: a psychophysical theory of fidelity in time-sampled visual motion displays , 1986 .

[14]  Andrew B. Watson,et al.  High Frame Rates and Human Vision: A View through the Window of Visibility , 2013 .

[15]  Paul Clark,et al.  Assessment of Image Quality in Digital Cinema Using the Motion Quality Ruler Method , 2007 .

[16]  Michiel A. Klompenhouwer,et al.  Spatio-Temporal Frequency Analysis of Motion Blur Reduction on LCDs , 2007, 2007 IEEE International Conference on Image Processing.

[17]  Emil Borissoff Optimal Temporal Sampling Aperture for HDTV Varispeed Acquisition , 2004 .

[18]  C. Tyler,et al.  Analysis of visual modulation sensitivity. IV. Validity of the Ferry-Porter law. , 1990, Journal of the Optical Society of America. A, Optics and image science.