Sharpening image motion based on the spatio-temporal characteristics of human vision

Tatsuto Takeuchi; Karen K. De Valois

doi:10.1117/12.586425

18 March 2005 Sharpening image motion based on the spatio-temporal characteristics of human vision

Proceedings Volume 5666, Human Vision and Electronic Imaging X; (2005) https://doi.org/10.1117/12.586425
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Moving objects in films often appear normal or even sharper than they actually are, a phenomenon called motion sharpening. We sought to clarify which spatio-temporal frequency components of a moving image are sharpened when the pattern is moving. We applied various spatio-temporal filters to moving natural images and evaluated the perceived sharpness and smoothness of motion by comparing them to a stationary image. On each trial, subjects adjusted three parameters of the still image: overall luminance contrast, the slope of the amplitude function in the spatial frequency domain, and cut-off spatial frequency. We found the strongest motion sharpening when image frames were spatially band-reject filtered. In addition, spatially low-pass filtered movies induced stronger motion sharpening than spatially high-pass filtered movies. When temporal filters were applied, perceived sharpness became stronger when the movies were temporally low-pass filtered. A high-pass temporal filter drastically reduced the perceived quality of image motion. Our results demonstrate that the perceived contrast of higher spatial frequency components in moving images is enhanced by the interaction between different spatio-temporal frequency channels in the motion sharpening process. The results suggest that it is possible to compress and enhance moving images by removing higher spatio-temporal frequency information.

Citation Download Citation

Tatsuto Takeuchi and Karen K. De Valois "Sharpening image motion based on the spatio-temporal characteristics of human vision", Proc. SPIE 5666, Human Vision and Electronic Imaging X, (18 March 2005); https://doi.org/10.1117/12.586425

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