Techniques are described for dynamically correcting image distortion during imaging of a patterned sample having repeating spots. Different sets of image distortion correction coefficients may be calculated for different regions of a sample during a first imaging cycle of a multicycle imaging run and subsequently applied in real time to image data generated during subsequent cycles. In one implementation, image distortion correction coefficients may be calculated for an image of a patterned sample having repeated spots by: estimating an affine transform of the image; sharpening the image; and iteratively searching for an optimal set of distortion correction coefficients for the sharpened image, where iteratively searching for the optimal set of distortion correction coefficients for the sharpened image includes calculating a mean chastity for spot locations in the image, and where the estimated affine transform is applied during each iteration of the search.

A recorded and fixed color image, including: a plurality of pixels; in which a pixel, of the plurality of pixels, contains two or more additive process color areas; in which each additive process color area, of the two or more additive process color areas, has a centroid located within an area of the pixel; in which locations of the centroids, within the area of the pixel, are present in two or more configurations in the plurality of pixels is disclosed. A method of forming a color image is also disclosed.

A recorded and fixed color image, including: a plurality of pixels; in which a pixel, of the plurality of pixels, contains two or more additive process color areas; in which each additive process color area, of the two or more additive process color areas, has a centroid located within an area of the pixel; in which locations of the centroids, within the area of the pixel, are present in two or more configurations in the plurality of pixels is disclosed. A method of forming a color image is also disclosed.

An image processing apparatus includes an acquisition unit configured to acquire first image data indicating a reference image as a target print result, and second image data indicating a target image to be inspected, and a processing unit configured to inspect the target image by performing a correction on a second partial region adjacent to a first partial region to enhance the second partial region relative to a difference image representing a difference between the reference image and the target image based on the first image data and the second image data, the first partial region having a difference in between the reference image and the target image.

An image processing apparatus includes an acquisition unit configured to acquire first image data indicating a reference image as a target print result, and second image data indicating a target image to be inspected, and a processing unit configured to inspect the target image by performing a correction on a second partial region adjacent to a first partial region to enhance the second partial region relative to a difference image representing a difference between the reference image and the target image based on the first image data and the second image data, the first partial region having a difference in between the reference image and the target image.

A moire occurrence prediction means that predicts a region in which moire will occur and implements a moire suppression process only on a pattern including said region, thereby minimizing print deterioration, suppressing the occurrence of moire, and enabling high quality printing. The moire occurrence prediction means includes a communication unit for receiving an input image; a periodic structure inclusion determination unit for determining, in the input image; a periodic structure region that includes a periodic structure that induces occurrence of a moire; and a moire prediction unit for determining a risk of moire occurrence in each periodic structure region by performing a predetermined frequency analysis process with respect to each of the determined periodic structure regions, generating a moire occurrence notification that indicates the risk for each periodic structure region, and outputting the moire occurrence notification.

A moire occurrence prediction means that predicts a region in which moire will occur and implements a moire suppression process only on a pattern including said region, thereby minimizing print deterioration, suppressing the occurrence of moire, and enabling high quality printing. The moire occurrence prediction means includes a communication unit for receiving an input image; a periodic structure inclusion determination unit for determining, in the input image; a periodic structure region that includes a periodic structure that induces occurrence of a moire; and a moire prediction unit for determining a risk of moire occurrence in each periodic structure region by performing a predetermined frequency analysis process with respect to each of the determined periodic structure regions, generating a moire occurrence notification that indicates the risk for each periodic structure region, and outputting the moire occurrence notification.

An image forming apparatus includes an image processing part performing a correction process and an image forming part respectively forming first and second images on medium. At a boundary of the first and second images, these images have first and second edge portions. When a first image width of the first image data is narrower than a predetermined width, the first image width is defined as a length determined from one portion of the first edge portion, the image processing part performs the correction process by selectively moving one of the first and second edge portions based on a pixel value of the first image. The image processing part obtains a degree of blackness of the first image based on the pixel value. When the degree of blackness is higher than a predetermined value, the image processing part performs the correction process by moving the second edge portion.

A warning system and a method for warning a driver of a vehicle of an object in a proximity of the vehicle. The system includes a device for detecting the object, a device for processing an image of the object based on the detection so that a representation indicative of the object is achieved, and a display for displaying the representation indicative of the object in the vehicle.

There is provided an image processing apparatus, method, and operation program capable of appropriately removing an abnormal pixel even in a case where the abnormal pixel is present in a tailing region. An abnormal pixel removing section removes an abnormal pixel from an image in which tailing and the dot-shaped abnormal pixel are mixed every other line. The abnormal pixel removing section selects neighboring pixels from only odd lines or even lines including a line, in which a target pixel to be corrected is present, depending on whether or not the line in which the target pixel is present is an odd-numbered line in a sub-scanning direction, and performs processing for removing the abnormal pixel based on the selected neighboring pixels.