System and method for the scaling of image streams that use motion vectors

A method for scaling an image contained in an image stream according to a scale factor, wherein the image stream comprises a motion vector, comprising the steps of:

• (1) separating from the image stream a block of data corresponding to a frequency domain representation of a block of error terms;
• (2) low pass filtering said frequency domain representation according to the scale factor to produce a reduced-size low pass filtered block;
• (3) inverse quantizing said reduced-size low pass filtered block to produce a reduced size inverse quantized block;
• (4) selectively transforming said reduced-size inverse quantized block to a spatial domain representation according to the scale factor to produce a decimated representation of said block of error terms;
• (5) separating the motion vector from the image stream;
• (6) scaling the motion vector according to the scale factor to produce a scaled motion vector;
• (7) outputting from a framestore a block of image components identified by an integer component of said scaled motion vector;
• (8) filtering said block of image components outputted from said framestore using a nonlinear filter, thereby producing a block of predicted terms;
• and
• (9) using one of said block of error terms, said block of predicted terms, or a combination of said block of error terms and said block of predicted terms to form a block of display pixels.

A system for scaling an image contained in an image stream, wherein said image stream comprises a motion vector and a block of error terms, comprising:

• a framestore having image components stored therein;
• a scale adjustment module to scale the motion vector according to a scale factor to produce a scaled motion vector, wherein an integer component of said scaled motion vector is provided to said framestore, and said framestore outputs a block of image components identified by said integer component of said scaled motion vector;
• a first filter to filter said block of image components outputted from said framestore and to output a block of predicted terms, wherein said first filter is a nonlinear filter;
• a second filter to low pass filter a frequency domain representation of the block of error terms according to said scale factor to produce a reduced-size low pass filtered block of error terms;
• an IQTZ module to inverse quantize said reduced-size low pass filtered block of error terms to produce a reduced-size inverse quantized block of error terms;
• an IDCT module to transform said reduced-size inverse quantized block of error terms to a spatial domain representation according to said scale factor to produce a decimated representation of the block of error terms.