Bilinear interpolation is suitable for real-time processing because the calculations are simple, there is hardware support that can be executed with one instruction on a GPU, and it can be ...

Fred T. Krogh, Efficient Algorithms for Polynomial Interpolation and Numerical Differentiation, Mathematics of Computation, Vol. 24, No. 109 (Jan., 1970), pp. 185-190 ...

However the major issue here is to associate to each model a robust algorithm to obtain the fully extrapolated data maps from the raw manufacturer's data. The major outcomes of the study are: - new ...

Our approach Although AI algorithms have led to state-of-the-art performance in the field, there remains an issue regarding computational complexity and memory usage.

Parameter-reduced frame interpolation using machine learning Motion blur can be caused by interpolating frames, algorithms can help with this problem. Published: 5 June 2023 ...

The advanced machine learning algorithm enables sophisticated image interpolation, allowing the system to skip every other scan level while accurately preserving high image quality. This ...