Mode Dependent Intra Smoothing

A decoder comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the decoder to:
• project, in an angular direction, a location of a sample in a block to a point on a reference line between a plurality of reference samples;
• select a filter coefficient table, from among a plurality of filter coefficient tables, based on the angular direction and a size of the block;
• select first filter coefficients from the filter coefficient table based on a fractional part of a displacement of the point on the reference line relative to the location of the sample, wherein each of the first filter coefficients are determined based on a product of a first function that is inversely related to a distance of the point from a closest integer position on the reference line and a second function that is inversely related to the fractional part;
• apply, to the plurality of reference samples, the first filter coefficients to determine a first filtered value;
• and
• determine a prediction of the sample based on the first filtered value.

A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors of a decoder, cause the decoder to:

• project, in an angular direction, a location of a sample in a block to a point on a reference line between a plurality of reference samples;
• select a filter coefficient table, from among a plurality of filter coefficient tables, based on the angular direction and a size of the block;
• select first filter coefficients from the filter coefficient table based on a fractional part of a displacement of the point on the reference line relative to the location of the sample, wherein each of the first filter coefficients are determined based on a product of a first function that is inversely related to a distance of the point from a closest integer position on the reference line and a second function that is inversely related to the fractional part;
• apply, to the plurality of reference samples, the first filter coefficients to determine a first filtered value;
• and
• determine a prediction of the sample based on the first filtered value.