Scratch identification utilizing integrated defect maps
In one example of the disclosure, a set of scanned images is accessed. The scanned images are scans of distinct printouts of subject images produced utilizing a photo imaging plate. A set of defect maps is created by comparing the scanned images to reference data for the subject images. The set of defect maps are combined into an integrated defect map. A scratch defect on the PIP is identified utilizing the integrated defect map.
1. A system to detect a scratch defects on a photo imaging plate (“PIP”), comprising:
a scanned image engine, to access a set of scanned images, wherein each of the scanned images is a scan of one of a set of distinct printouts of a subject image, the distinct printouts produced utilizing a PIP at a printing device;
a defect map engine, to create a set of defect maps, wherein each defect map is created by comparing one of the scanned images to reference data for the subject image;
an integration engine, to combine the set of defect maps into an integrated defect map; and
a scratch identification engine, to identify a scratch defect on the PIP utilizing the integrated defect map.
2. The system of claim 1 , further comprising an image capture engine, to utilize a scanner to create the set of scanned images.
3. The system of claim 1 , wherein the scanner is an inline scanner at the printing device that is also used for color analysis and/or image registration analysis.
4. The system of claim 1 , wherein the set of scanned images is a set of between fifteen and twenty-five scanned images.
5. The system of claim 1 , wherein the distinct printouts are printouts consecutively produced utilizing the PIP.
6. The system of claim 1 , wherein the defect map engine is to create the set of defect maps by comparing correlated patches of the scanned images and of the subject images according to the reference data.
7. The system of claim 1 , wherein the defect map engine is to create the set of defect maps by comparing brightness and/or contrast of correlated patches of the scanned images and reference data for the subject images.
8. The system of claim 1 , wherein the defect map engine comparing the correlated patches of the scanned images and of the subject images image includes assigning to the patches a score representing a similarity to the subject image according to the reference data.
9. The system of claim 1 , wherein the defect map engine comparing one of the scanned images to reference data for the subject image includes subtracting one of image attribute data for a scanned image and image attribute data for the subject image from the other, such that the calculated difference is indicative of degree of similarity.
10. The system of claim 1 , wherein the scratch identification engine is to, in identifying the scratch defect, analyze the differences in pixels of a scanned image and of the subject image according to the reference data along a vertical column.
11. The system of claim 1 , wherein the scratch identification engine is to obtain information as to a first set of pixels of the subject image are pixels intended to be bright pixels, and to disregard the first set of pixels when analyzing the differences in pixels of the scanned image and of the subject image according to the reference data to identify the scratch defect.
12. The system of claim 1 , wherein a bright pixel is a pixel with a luminosity exceeding an accessed luminosity threshold.
13. A printing device, comprising:
a photo imaging plate (“PIP”) connected to a rotatable drum, the PIP for receiving a latent image, receiving ink to form an ink layer, and transferring the ink layer to a transfer element form printouts;
an inline scanner to capture a set of scanned images, wherein each of the scanned images is a scan of one of a set of distinct printouts of a subject image, the distinct printouts produced utilizing the PIP;
a defect map engine, to create a set of defect maps, each defect map created by analyzing differences in pixels of a scanned image and of the reference data for the subject image along a vertical column;
an integration engine, to combine the set of defect maps into an integrated defect map; and
a scratch identification engine, to identify a scratch defect on the PIP utilizing the integrated defect map.
14. The printing device of claim 13 , wherein the transfer element is an intermediate transfer element, the intermediate transfer element for receiving the ink layer and transferring the ink layer to a media.
15. A method for detecting wiper scratch defects on a photo imaging plate (“PIP”) of a printing device, comprising:
accessing a set of scanned images that are scans of distinct printouts of subject images produced utilizing a PIP;
creating a set of defect maps by comparing the scanned images to reference data for the subject images;
combining the set of defect maps into an integrated defect map; and
analyzing the integrated defect map to identify a wiper scratch defect on the PIP.