Investigation of the effect of interpolation on noisy images with filtering methods

Interpolation techniques are used to obtain values that are unknown from known values in functions whose variation is within a certain range. Image processing methods use the same approaches when enlarging and reducing the image. However, some corruptions can be seen in the result image. Likewise, there are degradations due to environmental factors or sensors in the process of acquiring or moving images. This study investigates the filtering performance in interpolated noisy images where both states are active and discusses the situation in interpolated distorted pictures.