Image processing method, apparatus, program, and image forming apparatus
An image processing method, an apparatus, a program, and an image forming apparatus capable of suppressing an artifact in a boundary part of a threshold value matrix and performing high-quality correction even in a case where defective recording elements are concentrated are provided. An image processing method according to an aspect of the present invention includes performing correction of suppressing visibility of an image defect using recording elements around a defective recording element of a recording head by disabling the defective recording element, and performing quantization of data of an image, in which processing of the quantization includes applying a first threshold value matrix to a first image region that is separated by more than a first distance from a defective image region, applying a second threshold value matrix to a second image region separated by less than the first distance, and applying a third threshold value matrix to a third image region at a boundary between the first image region and the second image region.
1. An image processing method comprising:
acquiring information indicating recording characteristics of recording elements in a recording head including a plurality of the recording elements;
performing correction of suppressing visibility of an image defect caused by a defective recording element using the recording elements around the defective recording element by performing masking processing of disabling the defective recording element in accordance with the recording characteristics of the recording elements; and
performing processing of quantization of data of an image by applying a threshold value matrix selected from a first threshold value matrix, a second threshold value matrix, and a third threshold value matrix in accordance with a position of the image,
wherein the processing of the quantization includes
applying the first threshold value matrix to a first image region that is separated by more than a first distance from a defective image region of the image corresponding to the defective recording element,
applying the second threshold value matrix to a second image region that is a region around the defective image region and is separated by less than the first distance from the defective image region, and
applying the third threshold value matrix to a third image region that is positioned at a boundary between the first image region and the second image region.
2. The image processing method according to claim 1 , further comprising:
in a case where a plurality of the defective recording elements are present, and a distance between the defective recording elements is less than a second distance, performing the quantization of a pixel between the nearby defective recording elements using the second threshold value matrix.
3. The image processing method according to claim 1 ,
wherein the second threshold value matrix has frequency characteristics in which the quantization is performed such that a peak frequency component of the quantization is positioned in a frequency band excluding a frequency band near a spatial frequency peak of the second image region.
4. The image processing method according to claim 1 ,
wherein the second threshold value matrix has frequency characteristics in which a spatial frequency component in a first direction parallel to a relative movement direction of a recording medium with respect to the recording head is suppressed for all spatial frequency components in a second direction orthogonal to the first direction.
5. The image processing method according to claim 1 ,
wherein the second threshold value matrix is generated by referring to a common pattern of at least one of a first pattern generated from the first threshold value matrix or a second pattern used in a case of generating the first threshold value matrix.
6. The image processing method according to claim 1 ,
wherein the third threshold value matrix is generated using a first threshold value matrix pattern that is dot arrangement implemented by the first threshold value matrix, and a second threshold value matrix pattern that is dot arrangement implemented by the second threshold value matrix, such that a low frequency component of a pattern in which the first threshold value matrix pattern and the second threshold value matrix pattern are combined is suppressed.
7. The image processing method according to any claim 1 ,
wherein a plurality of types of threshold value matrices are used as the third threshold value matrix, and
the plurality of types of the third threshold value matrices are selectively applied in accordance with a position relationship between the first threshold value matrix and the second threshold value matrix.
8. The image processing method according to claim 7 ,
wherein the plurality of types of third threshold value matrices are generated by optimizing patterns of a plurality of boundary parts at the same time in the plurality of boundary parts generated by combining a first threshold value matrix pattern that is dot arrangement implemented by the first threshold value matrix, and a second threshold value matrix pattern that is dot arrangement implemented by the second threshold value matrix.
9. The image processing method according to claim 1 ,
wherein the third threshold value matrix is generated by sequentially changing a boundary position at which a first threshold value matrix pattern that is dot arrangement implemented by the first threshold value matrix, and a second threshold value matrix pattern that is dot arrangement implemented by the second threshold value matrix are combined, and is generated by combining patterns of the plurality of boundary positions.
10. The image processing method according to claim 1 ,
wherein the processing of the quantization includes, in a case where the defective recording element is present in the recording head, offsetting a phase of a reference position in a case of referring to the threshold value matrix selected from the first threshold value matrix, the second threshold value matrix, and the third threshold value matrix, in accordance with an address of the image representing the position of the image.
11. A non-temporary computer-readable recording medium causing a computer to execute the image processing method according to claim 1 in a case where an instruction stored in the recording medium is read out by the computer.
12. An image processing apparatus comprising:
a recording element information acquisition portion that acquires information indicating recording characteristics of recording elements in a recording head including a plurality of the recording elements;
a correction processing portion that performs correction of suppressing visibility of an image defect caused by a defective recording element using the recording elements around the defective recording element by performing masking processing of disabling the defective recording element in accordance with the recording characteristics of the recording elements; and
a quantization processing portion that performs processing of quantization of data of an image by applying a threshold value matrix selected from a first threshold value matrix, a second threshold value matrix, and a third threshold value matrix in accordance with a position of the image,
wherein the quantization processing portion
applies the first threshold value matrix to a first image region that is separated by more than a first distance from a defective image region of the image corresponding to the defective recording element,
applies the second threshold value matrix to a second image region that is a region around the defective image region and is separated by less than the first distance from the defective image region, and
applies the third threshold value matrix to a third image region that is positioned at a boundary between the first image region and the second image region.
13. The image processing apparatus according to claim 12 , further comprising:
a threshold value matrix storage portion that stores the first threshold value matrix, the second threshold value matrix, and the third threshold value matrix; and
a region selection processing portion that selects the first threshold value matrix, the second threshold value matrix, and the third threshold value matrix to be referred to in the processing of the quantization in accordance with defective recording element information including position information of the defective recording element and the position of the image.
14. The image processing apparatus according to claim 13 , further comprising:
a density correction processing portion that performs density correction processing of correcting a pixel value of the image position corresponding to each recording element using a density correction table corresponding to the recording characteristics of each of the plurality of recording elements,
wherein the region selection processing portion switches the density correction table to be applied to the density correction processing in connection with selection of the threshold value matrix.
15. The image processing apparatus according to claim 12 , further comprising:
a defective recording element detection processing portion that performs processing of detecting the defective recording element of the recording head; and
a density correction table generation processing portion that performs processing of generating a density correction table corresponding to the recording characteristics of each of the plurality of recording elements.
16. The image processing apparatus according to claim 12 ,
wherein the recording head is an ink jet head, and
the recording elements are nozzles jetting ink.
17. An image forming apparatus comprising:
the image processing apparatus according to claim 12 ; and
a recording head that records an image on a recording medium using image data quantized using the image processing apparatus.