Method, apparatus, and program for image processing
View Patent ↗Generation of ringing components during extraction of striped blue components from an image is suppressed, in an image processing apparatus for removing striped blur components from the image. A preprocess is executed on an image data set, which is obtained by detecting light with line sensors that perform scanning in a sub scanning direction. The preprocess reduces drastic changes in pixel values in a first direction, which is perpendicular to the sub scanning direction. A filter process is executed on the preprocessed image data set to extract image data that represents striped blur components that extend in the sub scanning direction. The extracted image data is subtracted from the image data set to remove striped blur components.
1. An image processing method, comprising: a processor performing the steps of:
executing a filter process on an image data set, to extract a line noise component that extends in a sub scanning direction and/or a main scanning direction within an image represented by the image data set; and
subtracting image data that represents the line noise component from the image data set, to remove the line noise component from the image; wherein: a preprocess, which reduces drastic changes in pixel values of the image data set in a first direction perpendicular to the sub scanning direction or a second direction perpendicular to the main scanning direction, is executed on the image data set prior to the filter process,
wherein in the case that the preprocess is that which reduces drastic changes in pixel values of the image data set in the first direction, the preprocess comprises the steps of:
obtaining difference data that represents the difference between pixel data, which are adjacent in the first direction;
executing a process that decreases the absolute value of the difference data having values that exceed a predetermined threshold value; and
cumulatively adding the processed difference data in the first direction,
wherein in the case that the preprocess is that which reduces drastic changes in pixel values of the image data set in the second direction, the preprocess comprises the steps of:
obtaining difference data that represents the difference between pixel data, which are adjacent in the second direction;
executing a processes that decreases the absolute value of the difference data having values that exceed a predetermined threshold value; and
cumulatively adding the processed difference data in the second direction.
2. An image processing method as defined in claim 1 , wherein:
in the case that the preprocess is that which reduces drastic changes in pixel values of the image data set in the second direction, the preprocess comprises the steps of:
obtaining difference data that represents the difference between pixel data, which are adjacent in the second direction;
executing a filtering process on the difference data in the second direction;
executing a process that decreases the absolute value of the filter processed difference data having values that exceed a predetermined threshold value; and
cumulatively adding the processed difference data in the second direction.
3. The image processing method of claim 1 , wherein the method is performed by an apparatus for obtaining image data.
4. The image processing method of claim 1 , further comprising displaying the image data set after the image data that represents the line noise component has been subtracted.
5. The image processing method of claim 1 , wherein:
in the case that the preprocess is that which reduces drastic changes in pixel values of the image data set in the first direction, the preprocess comprises the steps of:
obtaining difference data that represents the difference between pixel data, which are adjacent in the first direction;
executing a filtering process on the difference data in the first direction;
executing a process that decreases the absolute value of the filter processed difference data having values that exceed a predetermined threshold value; and
cumulatively adding the processed difference data in the first direction.