Image processor and method, computer program, and recording medium

An image processor for use in drawing an image to a memory having a two-dimensional matrix of pixel drawing regions, each of the pixel drawing regions representing a single pixel in the image, said image processor comprising:

• a plurality of relative orientation detection filters each representing a distinguishing feature of a relative orientation of an edge segment to be drawn to the memory;
• drawing means for drawing the image to the memory or a buffer having the same structure as the memory;
• detection means for
• detecting a connected sequence of pixel drawing regions making up an edge in the image drawn by said drawing means, and
• detecting the relative orientation of the connected sequence of pixel drawing regions by means of
• selecting out a predetermined number of relative orientation detection filters each representing a distinguishing feature that is closer to the distinguishing feature of the connected sequence of pixel drawing regions, and
• performing interpolation with the relative orientations specified by the selected relative orientation detection filters;
• and
• smoothing means for smoothing a pixel value of each pixel in the connected sequence of pixel drawing regions on the edge using smoothing coefficients, the smoothing coefficients being either computed depending on the relative orientation detected by said detection means or obtained from outside,
• wherein each of said plurality of relative orientation detection filters is a two-dimensional matrix of predetermined orientation coefficients, the orientation coefficients including zero orientation coefficients each having a value of zero and non-zero orientation coefficients each having a value other than zero, the non-zero orientation coefficients being aligned relative to each other in a predetermined direction;
• said detection means
• performing convolution of all orientation coefficients contained in said relative orientation detection filters, with each pixel value of the connected sequence of pixel drawing regions making up the edge,
• selecting out a predetermined number of relative orientation detection filters for which their respective convolution results in a single direction exceed a predetermined threshold value and yield the largest result, the second largest result, and the third largest result, respectively, as the relative orientation filters having their respective distinguishing features that are closer to the distinguishing feature in the subject direction, and
• distributing, using interpolation, the relative orientations specified by the selected relative orientation detection filters, thereby determining one relative orientation.

An image processing method performed by a processor having access to a memory to which an image is drawn and a plurality of relative orientation detection filters, the memory having a two-dimensional matrix of pixel drawing regions, each of the pixel drawing regions representing a single pixel in the image, each of the relative orientation detection filters representing a distinguishing feature of a relative orientation of an edge segment to be drawn to the memory, said method comprising the steps of:

• (1) drawing the image to the memory or a buffer having the same structure as the memory without performing anti-aliasing operation;
• (2) automatically detecting a connected sequence of pixel drawing regions making up an edge in the drawn image by applying an edge extraction filter;
• (3) detecting the relative orientation of the connected sequence of pixel drawing regions by
• selecting out a predetermined number of relative orientation detection filters each representing a distinguishing feature that is closer to the distinguishing feature of the connected sequence of pixel drawing regions in question, and
• performing interpolation with the relative orientations specified by the selected relative orientation detection filters;
• and
• (4) generating a smoothing filter which is a matrix of smoothing coefficients, the smoothing coefficients including zero smoothing coefficients each having a value of zero and non-zero smoothing coefficients each having a value other than zero, the non-zero smoothing coefficients in the generated smoothing filter being arranged in the direction of the relative orientation, or alternatively, obtaining the smoothing filter that has been prepared previously;
• performing convolution of the smoothing coefficients of that smoothing filter individually with each pixel value of the connected sequence of pixel drawing regions;
• and
• replacing a target pixel value in the connected sequence of pixel drawing regions with the convolution result, thereby smoothing the focused pixel value, thereby anti-aliasing the image having the edge including the target pixel value,
• wherein each of said plurality of relative orientation detection filters is a two-dimensional matrix of predetermined orientation coefficients, the orientation coefficients including zero orientation coefficients each having a value of zero and non-zero orientation coefficients each having a value other than zero, the non-zero orientation coefficients being aligned relative to each other in a predetermined direction,
• wherein detecting the relative orientation further comprises
• performing convolution of all orientation coefficients contained in said relative orientation detection filters, with each pixel value of the connected sequence of pixel drawing regions making up the edge,
• selecting out a predetermined number of relative orientation detection filters for which their respective convolution results in a single direction exceed a predetermined threshold value and yield the largest result, the second largest result, and the third largest result, respectively, as the relative orientation filters having their respective distinguishing features that are closer to the distinguishing feature in the subject direction, and
• distributing, using interpolation, the relative orientations specified by the selected relative orientation detection filters, thereby determining one relative orientation.

An image processing method performed by a processor having access to a memory to which an image is drawn and a plurality of relative orientation detection filters, the memory having a two-dimensional matrix of pixel drawing regions, each of the pixel drawing regions representing a single pixel in the image, each of the relative orientation detection filters representing a distinguishing feature of a relative orientation of an edge segment to be drawn to the memory, said method comprising the steps of:

• (1) drawing the image to the memory or a buffer having the same structure as the memory without performing anti-aliasing operation;
• (2) detecting a connected sequence of pixel drawing regions making up an edge in the drawn image;
• (3) detecting the relative orientation of the connected sequence of pixel drawing regions by
• selecting out a plurality of relative orientation detection filters each representing a distinguishing feature that is closer to the distinguishing feature of the connected sequence of pixel drawing regions, and
• performing interpolation with the relative orientations specified by the selected relative orientation detection filters;
• and
• (4) generating a smoothing filter which is a matrix of smoothing coefficients, the smoothing coefficients including zero smoothing coefficients each having a value of zero and non-zero smoothing coefficients each having a value other than zero, the non-zero smoothing coefficients in the generated smoothing filter being arranged in the direction of the relative orientation, or alternatively, obtaining the smoothing filter that has been prepared previously;
• performing convolution of the smoothing coefficients of that smoothing filter individually with each pixel value of the connected sequence of pixel drawing regions;
• and
• replacing a target pixel value in the connected sequence of pixel drawing regions with the convolution result, thereby smoothing the focused pixel value, thereby anti-aliasing the image having the edge including the target pixel value,
• wherein each of said plurality of relative orientation detection filters is a two-dimensional matrix of predetermined orientation coefficients, the orientation coefficients including zero orientation coefficients each having a value of zero and non-zero orientation coefficients each having a value other than zero, the non-zero orientation coefficients being aligned relative to each other in a predetermined direction,
• wherein detecting the relative orientation further comprises
• performing convolution of all orientation coefficients contained in said relative orientation detection filters, with each pixel value of the connected sequence of pixel drawing regions making up the edge,
• selecting out a predetermined number of relative orientation detection filters for which their respective convolution results in a single direction exceed a predetermined threshold value and yield the largest result, the second largest result, and the third largest result, respectively, as the relative orientation filters having their respective distinguishing features that are closer to the distinguishing feature in the subject direction, and
• distributing, using interpolation, the relative orientations specified by the selected relative orientation detection filters, thereby determining one relative orientation.

A computer program recorded on a computer/readable recording medium and configured to be executed by a processor having access to a memory to which an image is drawn and a plurality of relative orientation detection filters, the memory having a two-dimensional matrix of pixel drawing regions, each of the pixel drawing regions representing a single pixel in the image, each of the relative orientation detection filters representing a distinguishing feature of a relative orientation of an edge segment to be drawn to the memory, said computer program being for the processor to perform the operations of:

• (1) drawing the image to the memory or a buffer having the same structure as the memory without performing anti-aliasing operation;
• (2) automatically detecting a connected sequence of pixel drawing regions making up an edge in the drawn image by applying an edge extraction filter;
• (3) detecting the relative orientation of the connected sequence of pixel drawing regions by
• selecting out a predetermined number of relative orientation detection filters each representing a distinguishing feature that is closer to the distinguishing feature of the connected sequence of pixel drawing regions in question, and
• performing interpolation with the relative orientations specified by the selected relative orientation detection filters;
• and
• (4) generating a smoothing filter which is a matrix of smoothing coefficients, the smoothing coefficients including zero smoothing coefficients each having a value of zero and non-zero smoothing coefficients each having a value other than zero, the non-zero smoothing coefficients in the generated smoothing filter being arranged in the direction of the relative orientation, or alternatively, obtaining the smoothing filter that has been prepared previously;
• performing convolution of the smoothing coefficients of that smoothing filter individually with each pixel value of the connected sequence of pixel drawing regions;
• and
• replacing a target pixel value in the connected sequence of pixel drawing regions with the convolution result, thereby smoothing the focused pixel value, thereby anti-aliasing the image having the edge including the target pixel value,
• wherein each of said plurality of relative orientation detection filters is a two-dimensional matrix of predetermined orientation coefficients, the orientation coefficients including zero orientation coefficients each having a value of zero and non-zero orientation coefficients each having a value other than zero, the non-zero orientation coefficients being aligned relative to each other in a predetermined direction,
• wherein detecting the relative orientation further comprises
• performing convolution of all orientation coefficients contained in said relative orientation detection filters, with each pixel value of the connected sequence of pixel drawing regions making up the edge.
• selecting out a predetermined number of relative orientation detection filters for which their respective convolution results in a single direction exceed a predetermined threshold value and yield the largest result, the second largest result, and the third largest result, respectively, as the relative orientation filters having their respective distinguishing features that are closer to the distinguishing feature in the subject direction, and
• distributing, using interpolation the relative orientations specified by the selected relative orientation detection filters, thereby determining one relative orientation.

A computer program recorded on a computer-readable recording medium and configured to be executed by a processor having access to a memory to which an image is drawn and a plurality of relative orientation detection filters, the memory having a two-dimensional matrix of pixel drawing regions, each of the pixel drawing regions representing a single pixel in the image, each of the relative orientation detection filters representing a distinguishing feature of a relative orientation of an edge segment to be drawn to the memory, said computer program being for the processor to perform the operations of:

• (1) drawing the image to the memory or a buffer having the same structure as the memory without performing anti-aliasing operation;
• (2) detecting a connected sequence of pixel drawing regions making up an edge in the drawn image;
• (3) detecting the relative orientation of the connected sequence of pixel drawing regions by
• selecting out a plurality of relative orientation detection filters each representing a distinguishing feature that is closer to the distinguishing feature of the connected sequence of pixel drawing regions, and
• performing interpolation with the relative orientations specified by the selected relative orientation detection filters;
• and
• (4) generating a smoothing filter which is a matrix of smoothing coefficients, the smoothing coefficients including zero smoothing coefficients each having a value of zero and non-zero smoothing coefficients each having a value other than zero, the non-zero smoothing coefficients in the generated smoothing filter being arranged in the direction of the relative orientation, or alternatively, obtaining the smoothing filter that has been prepared previously;
• performing convolution of the smoothing coefficients of that smoothing filter individually with each pixel value of the connected sequence of pixel drawing regions;
• and
• replacing a target pixel value in the connected sequence of pixel drawing regions with the convolution result, thereby smoothing the focused pixel value, thereby anti-aliasing the image having the edge including the target pixel value,
• wherein each of said plurality of relative orientation detection filters is a two-dimensional matrix of predetermined orientation coefficients, the orientation coefficients including zero orientation coefficients each having a value of zero and non-zero orientation coefficients each having a value other than zero, the non-zero orientation coefficients being aligned relative to each other in a predetermined direction,
• wherein detecting the relative orientation further comprises
• performing convolution of all orientation coefficients contained in said relative orientation detection filters, with each pixel value of the connected sequence of pixel drawing regions making up the edge,
• selecting out a predetermined number of relative orientation detection filters for which their respective convolution results in a single direction exceed a predetermined threshold value and yield the largest result, the second largest result, and the third largest result, respectively, as the relative orientation filters having their respective distinguishing features that are closer to the distinguishing feature in the subject direction, and
• distributing, using interpolation, the relative orientations specified by the selected relative orientation detection filters, thereby determining one relative orientation.