lib/ccv_resample.c

ccv_resample

void ccv_resample(ccv_dense_matrix_t *a, ccv_dense_matrix_t **b, int btype, int rows, int cols, int type)

Resample a given matrix to different size, as for now, ccv only supports either downsampling (with CCV_INTER_AREA) or upsampling (with CCV_INTER_CUBIC).

• a: The input matrix.
• b: The output matrix.
• btype: The type of output matrix, if 0, ccv will try to match the input matrix for appropriate type.
• rows: The new row.
• cols: The new column.
• type: For now, ccv supports CCV_INTER_AREA, which is an extension to bilinear resampling for downsampling and CCV_INTER_CUBIC bicubic resampling for upsampling.

ccv_sample_down

void ccv_sample_down(ccv_dense_matrix_t *a, ccv_dense_matrix_t **b, int type, int src_x, int src_y)

Downsample a given matrix to exactly half size with a Gaussian filter. The half size is approximated by floor(rows * 0.5) x floor(cols * 0.5).

• a: The input matrix.
• b: The output matrix.
• type: The type of output matrix, if 0, ccv will try to match the input matrix for appropriate type.
• src_x: Shift the start point by src_x.
• src_y: Shift the start point by src_y.

ccv_sample_up

void ccv_sample_up(ccv_dense_matrix_t *a, ccv_dense_matrix_t **b, int type, int src_x, int src_y)

Upsample a given matrix to exactly double size with a Gaussian filter.

• a: The input matrix.
• b: The output matrix.
• type: The type of output matrix, if 0, ccv will try to match the input matrix for appropriate type.
• src_x: Shift the start point by src_x.
• src_y: Shift the start point by src_y.

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