Patent ID: 8675922

Claim:
A method of measuring visual motion blur Ψ comprising obtaining a moving edge temporal profile r 1 (k) of an image of a high-contrast moving edge with at least 10 samples across the step in r 1 (k); calculating m 1 (k)=m(k) for r(k)=r 1 (k), and m 2 (k)=m(k) for r(k)=r 2 (k), wherein r 2 (k) is the waveform for an ideal step edge waveform with the same amplitude as r 1 (k); and calculating Ψ as a difference function, Ψ= S (Δ xΣ k |m 1 ( k )− m 2 ( k )| β ) 1/β , where Δx is the sample interval in degrees of visual angle, S and β are parameters, m(k) is the masked local contrast, m ⁡ ( k ) = c ⁡ ( k ) 1 + e ⁡ ( k ) , e(k) is the effective local contrast energy, e ⁡ ( k ) = h m ⁡ ( k ) ⁢ ( c ⁡ ( k ) T ) 2 , h m (k) is a masking kernel having a masking scale s m and unit area, T is a masking threshold parameter, c(k) is the local contrast waveform, c ⁡ ( k ) = h c ⁡ ( k ) * r ⁡ ( k ) κ ⁡ [ h s ⁡ ( k ) * r ⁡ ( k ) ] + ( 1 - κ ) ⁢ R _ - 1 , h c (k) is a center kernel having a center scale s c and unit area, h s (k) is a surround kernel having a surround scale s s and unit area, R is the mean relative luminance of r 1 (k) or, κ is an adaptation weight parameter, and r(k) is an arbitrary waveform; wherein the offset of the ideal step edge relative to r 1 (k) is adjusted to minimize Ψ; utilizing the measured visual motion blur to provide just noticeable differences of motion blur in display technology, where the measured visual motion blur is based on obtaining the moving edge temporal profile r1(k) of an image, calculating m1(k) and m2(k), and calculating visual motion blur as a difference function.