8.3: Visual Modeling of Upscaled Image Discrimination

This paper describes the application of a visual model to the spatial upsampling problem. The visual model includes an updated optical pointspread function that is adapted to a particular display's spectral emission characteristics. The visual model identifies locations of visible differences between high resolution groundtruth and 2X upsampled images, and allows quantifying the degree of difference between competing algorithms. Subjectivelydetermined image difference thresholds are compared to model predictions for both upsampsled Bluray and highresolution still images.

[1]  Xiao-Fan Feng,et al.  Vision-based strategy to reduce the perceived color misregistration of image-capturing devices , 2002 .

[2]  Zygmunt Pizlo,et al.  An investigation of perceived sharpness and sharpness metrics , 2005, IS&T/SPIE Electronic Imaging.

[3]  Michael J. Vrhel,et al.  Color image resolution conversion , 2005, IEEE Transactions on Image Processing.

[4]  A. Watson,et al.  A standard model for foveal detection of spatial contrast. , 2005, Journal of vision.

[5]  S. Daly,et al.  The role of the visual system's orientation mechanisms in the perception of spatial aliasing , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[6]  Albert J. Ahumada,et al.  Using Vision Modeling to Define Occupational Vision Standards , 2003 .

[7]  Wencheng Wu,et al.  Perception-based line quality measurement , 2005, IS&T/SPIE Electronic Imaging.

[8]  Andrew B. Watson,et al.  The cortex transform: rapid computation of simulated neural images , 1987 .

[9]  B. Wandell,et al.  Matching color images: the effects of axial chromatic aberration , 1994 .

[10]  Scott J. Daly,et al.  Visible differences predictor: an algorithm for the assessment of image fidelity , 1992, Electronic Imaging.

[11]  Jeffrey Lubin,et al.  The use of psychophysical data and models in the analysis of display system performance , 1993 .

[12]  Scott J. Daly,et al.  Application of a visual model to the design of an ultra-high definition upscaler , 2009, Electronic Imaging.

[13]  Peter G. J. Barten,et al.  Contrast sensitivity of the human eye and its e ects on image quality , 1999 .