Nearest Neighbor interpolation is applicable when we want to increase the size of an image, it duplicates each column.
The identified noise is replaced by using the Nearest Neighbor interpolation.
Impulse noise removal is based on weighted average filter with the nearest neighbor interpolation.
where NN is the nearest neighbor interpolation and t is the iteration number.
Both the original dataset and the noisy set were downsampled by factor 2 using nearest neighbor interpolation along each axis.
Popular methods of interpolation by convolution include nearest neighbor interpolation
, bilinear interpolation, cubic B-spline interpolation, and piecewise-cubic convolution (Lehmann et al.
Piecewise constant approximations with nearest neighbor interpolation
Nearest neighbor interpolation
was also used for grade estimation and validation.
Unlike other interpolation techniques such as nearest neighbor interpolation
and bicubic interpolation, bilinear interpolation uses only the 4 nearest pixel values which are located in diagonal directions from a given pixel in order to find the appropriate color intensity values of that pixel.