Information processing apparatus and method, and program

An image processing method for use with an information processing apparatus, the image processing method comprising the steps of:

• setting each of pixels forming a first image as a pixel of interest and classifying the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule;
• generating a shifted waveform whose phase is shifted with respect to a waveform of the first image containing the pixels of interest and generating a feature amount based on the shifted waveform for each of the plurality of classes of the first type;
• classifying, on the basis of the generated feature amount, the pixels of interest on which the classification of the first type has been performed into one of a plurality of provided classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type;
• and
• predictively calculating the pixels forming a second image by using a group of coefficients specified by each class of the pixels of interest of the first type and the second type and a group of data pixels including the pixels of interest.

A non-transitory computer-readable medium having stored thereon a computer-executable program comprising the steps of:

• setting each of pixels forming a first image as a pixel of interest and classifying the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule;
• generating a shifted waveform whose phase is shifted with respect to a waveform of the first image containing the pixels of interest and generating a feature amount based on the shifted waveform for each of the plurality of classes of the first type;
• classifying, on the basis of the generated feature amount, the pixels of interest on which the classification of the first type has been performed into one of a plurality of provided classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type;
• and
• predictively calculating the pixels forming a second image by using a group of coefficients specified by each class of the pixels of interest of the first type and the second type and a group of data pixels including the pixels of interest.

An information processing apparatus comprising:

• student generation means for receiving a first image as a teacher and generating a second image as a student from the first image;
• first classification means for setting each of pixels forming the second image as a pixel of interest and classifying the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule;
• feature amount generation means for generating a shifted waveform whose phase is shifted with respect to a waveform of the second image containing the pixels of interest and for generating a feature amount based on the shifted waveform for each of the plurality of classes of the first type;
• second classification means for classifying, on the basis of the feature amount generated by the feature amount generation means, the pixels of interest on which the classification of the first type has been performed into one of a plurality of provided classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type;
• and
• coefficient generation means for generating a group of coefficients used to predictively calculate pixels forming the first image from a group of data pixels including the pixels of interest for each of the classes of a type specified from the first type and the second type.

An image processing method for use with an information processing apparatus, the image processing method comprising the steps of:

• receiving a first image as a teacher and generating a second image as a student from the first image;
• setting each of pixels forming the second image as a pixel of interest and classifying the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule;
• generating a shifted waveform whose phase is shifted with respect to a waveform of the second image containing the pixels of interest and generating a feature amount based on the shifted waveform for each of the plurality of classes of the first type;
• classifying, on the basis of the generated feature amount, the pixels of interest on which the classification of the first type has been performed into one of a plurality of provided classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type;
• and
• generating a group of coefficients used to predictively calculate pixels forming the first image from a group of data pixels including the pixels of interest for each of the classes of a type specified from the first type and the second type.

A non-transitory computer-readable medium having stored thereon a computer-executable program comprising the steps of:

• receiving a first image as a teacher and generating a second image as a student from the first image;
• setting each of pixels forming the second image as a pixel of interest and classifying the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule;
• generating a shifted waveform whose phase is shifted with respect to a waveform of the second image containing the pixels of interest and generating a feature amount based on the shifted waveform for each of the plurality of classes of the first type;
• classifying, on the basis of the generated feature amount, the pixels of interest on which the classification of the first type has been performed into one of a plurality of provided classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type;
• and
• generating a group of coefficients used to predictively calculate pixels forming the first image from a group of data pixels including the pixels of interest for each of the classes of a type specified from the first type and the second type.

An information processing apparatus comprising:

• a first classification unit configured to set each of pixels forming a first image as a pixel of interest and classify the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule;
• a feature amount generation unit configured to generate a shifted waveform whose phase is shifted with respect to a waveform of the first image containing the pixels of interest and configured to generate a feature amount based on the shifted waveform for each of the plurality of classes of the first type;
• a second classification unit configured to classify, on the basis of the feature amount generated by the feature amount generation means, the pixels of interest on which the classification of the first type has been performed into one of a plurality of classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type;
• and
• a prediction calculation unit configured to predictively calculate pixels forming a second image by using a group of coefficients specified by each class of the pixels of interest of the first type and the second type and a group of data pixels including the pixels of interest.

An information processing apparatus comprising:

• a student generation unit configured to receive a first image as a teacher and generating a second image as a student from the first image;
• a first classification unit configured to set each of pixels forming the second image as a pixel of interest and classifying the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule;
• a feature amount generation unit configured to generate a shifted waveform whose phase is shifted with respect to a waveform of the second image containing the pixels of interest and for generating a feature amount based on the shifted waveform for each of the plurality of classes of the first type;
• a second classification unit configured to classify, on the basis of the feature amount generated by the feature amount generation means, the pixels of interest on which the classification of the first type has been performed into one of a plurality of classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type;
• and
• a coefficient generation unit configured to generate a group of coefficients used to predictively calculate pixels forming the first image from a group of data pixels including the pixels of interest for each of the classes of a type specified from the first type and the second type.