Cubic convolution interpolating apparatus and method thereof

A cubic convolution interpolating apparatus comprising:

• an image signal divider dividing an image signal into a plurality of subblocks as original image data;
• and
• a generating unit generating parameters which determine cubic convolution interpolation coefficients in units of subblocks, and performing cubic convolution interpolation on the original image data,
• wherein the generating unit comprises:
• a forward scaling processor sampling a cubic convolution interpolated continuous function of the original image data transmitted from the image signal divider using a first scaling factor and scaling the original image data;
• a backward scaling processor sampling a backward cubic convolution interpolated continuous function of the scaled data output from the forward scaling processor using a second scaling factor and restoring the scaled data into the original image data;
• and
• a parameter optimizer optimizing the parameters using the original image data and the data restored into the original image data output from the backward scaling processor, and transferring the optimized parameters to the forward scaling processor and the backward scaling processor, respectively.

A cubic convolution interpolating apparatus comprising:

• a forward scaling processor sampling a forward cubic convolution interpolated continuous function of original image data using a first scaling factor and scaling the original image data;
• a backward scaling processor sampling a backward cubic convolution interpolated continuous function of the scaled data output from the forward scaling processor using a second scaling factor and restoring the scaled data into the original image data;
• and
• a parameter optimizer optimizing a parameter using the original image data and the data restored into the original image data output from the backward scaling processor, and transferring the optimized parameter to the forward scaling processor and the backward scaling processor, respectively.

A cubic convolution interpolating method comprising:

• dividing an image signal into a plurality of subblocks once;
• and
• generating parameters which determine cubic convolution interpolation coefficients in units of the once divided subblocks, and performing cubic convolution interpolation on the plurality of once divided subblocks,
• wherein the parameter generating comprises:
• sampling a cubic convolution interpolated continuous function of original image data using a first scaling factor and forward scaling the original image data;
• sampling a backward cubic convolution interpolated continuous function of the scaled data obtained in the forward scaling processing step using a second scaling factor and restoring the scaled data backward into the original image data;
• determining and optimizing a parameter which determines the cubic convolution interpolation coefficient using the original image data and the data restored into the original image data by the backward scaling;
• and
• supplying the optimized parameter to be used in the forward scaling and the backward scaling.

A cubic convolution interpolating method comprising:

• sampling a cubic convolution interpolated continuous function of original image data using a first scaling factor and forward scaling the original image data;
• sampling a backward cubic convolution interpolated continuous function of the scaled data obtained in the forward scaling processing step using a second scaling factor and restoring the scaled data backward into the original image data;
• determining and optimizing a parameter which determines the cubic convolution interpolation coefficient using the original image data and the data restored into the original image data by the backward scaling;
• and
• supplying the optimized parameter to be used in the forward scaling and the backward scaling.

A cubic convolution interpolating apparatus used with an image signal, comprising:

• a generating unit generating parameters which determine interpolation coefficients of the image signal according to a forward scaling and a backward scaling of the image signal each of the forward and backward scaling using a different scaling factor, wherein the generating unit comprises:
• a parameter optimizer optimizing a parameter according to a local property of the image signal;
• and
• a cubic convolution interpolator performing a cubic convolution interpolation on the image signal using the optimized parameter.

A cubic convolution interpolating method for an image signal, comprising:

• generating parameters which determine interpolation coefficients of the image signal according to a forward scaling of the image signal and a backward scaling of the forward scaled image signal;
• optimizing a parameter according to a local property of the image signal;
• and performing a cubic convolution interpolation on the image signal using the optimized parameter,
• wherein a different scaling factor is respectively used for the forward scaling and the backward scaling.

A cubic convolution interpolating method comprising:

• dividing an image signal into a plurality of subblocks;
• and
• generating parameters which determine cubic convolution interpolation coefficients in units of subblocks, and performing cubic convolution interpolation on the plurality of subblocks.
• wherein the parameter generating comprises:
• sampling a cubic convolution interpolated continuous function of original image data using a first scaling factor and forward scaling the original image data;
• sampling a backward cubic convolution interpolated continuous function of the scaled data obtained in the forward scaling processing step using a second scaling factor and restoring the scaled data backward into the original image data;
• determining and optimizing a parameter which determines the cubic convolution interpolation coefficient using the original image data and the data restored into the original image data by the backward scaling;
• and
• supplying the optimized parameter to be used in the forward scaling and the backward scaling.