| 摘要 |
A geometric transformation parameter computing unit computes a geometric transformation parameter which represents the geometric transformation of an image from the previous frame to the current frame, and calculates the level of reliability in that geometric transformation parameter. A super-resolution image prediction unit generates a prediction of a super-resolution image in the current frame by transforming a super-resolution image in the previous frame on the basis of the geometric transformation parameter. A super-resolution image generation unit calculates a low-resolution image in the current frame from the prediction result of the super-resolution image in the current frame by a simulation, calculates a difference between a low-resolution image, which is an input image for the current frame, and the simulation result, and calculates a weighted mean between a result of upsampling the difference and the prediction result of the super-resolution image in the current frame. Herein, the weighted mean is calculated on the basis of the level of reliability in the geometric transformation parameter.
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