The invention relates to a
jitter optimization method, device and
system for a high-resolution large-field-angle VR device, and the method comprises the steps: building a first-order error propagation model, and building a second-order error propagation model based on the first-order error propagation model; constructing a perceptual
jitter measurement model, and converting pixel
jitter output by the second-order error propagation model into
retina angular displacement; constructing a multi-objective
optimization problem associated with perceived jitter, and outputting optimal
system parameters; the equipment comprises an acquisition unit, an optimization unit and an output unit.
System settings are implemented based on the method. The method is suitable for any
system configuration, the Hessian
tensor is introduced for a large
field angle system, edge nonlinear jitter is accurately captured, subjective jitter is quantified by combining the multi-channel contrast sensitivity and the
time integral effect of a human vision system, jitter suppression is modeled into a multi-target
optimization problem, a
Pareto optimal solution set is provided, and actual design is guided; finally, accurate prediction and suppression of visual jitter are realized, and the visual stability and user experience of
immersive display are improved.