An example printing method can involve a memory buffer of a printing system containing image data, and the method can include (i) issuing, by an initiator of the printing system, a single read-then-clear memory command; (ii) receiving, by a memory controller of the printing system, the single read-then-clear memory command; and (iii) in response to receiving the single read-then-clear memory command, the memory controller both (a) reading the image data from the memory buffer of the printing system and (b) after reading the image data, clearing the image data from the memory buffer of the printing system.

An example system includes a processor and a non-transitory computer-readable medium having stored therein instructions that are executable to cause the system to perform various functions. The functions include obtaining a source profile associated with a print job and a destination profile associated with the print job. The functions also include, based on the source profile and the destination profile, generating a color conversion object that maps input colors of a source color space to output colors of a destination color space. In addition, the functions include training a neural network using the color conversion object so as to obtain weights associated with two or more hidden layers of nodes of the neural network. Further, the functions include receiving color data corresponding to pixels of the print job, and converting the color data from the source color space to the destination color space using the neural network.

A data generating apparatus includes a controller to perform a first process to generate and store into a work area n pieces of first-layer object data representing n objects having earlier orders than a combined object in a combining sequence, a second process to generate and store into the work area M pieces of second-layer object data representing M second-layer objects of the combined object, a third process to generate first bitmap data representing an image obtained by combining the n first-layer objects, using the n pieces of first-layer object data, and a fourth process to generate second bitmap data representing the combined object. When a free space is less than a reference value during the second process, the controller interrupts the second process, performs the third process or a part of the fourth process, releases a storage area for object data, and thereafter resumes and completes the second process.

An image processing apparatus performs a first generation process generating first partial print data by a first color conversion process using a first profile corresponding to a first direction, and a second generation process generating second partial print data using a second color conversion process using a second profile. When a color difference is smaller than a reference, the apparatus sets a printing direction to the first direction, and outputs the first partial print data to a print execution unit for printing the first partial print data while the main scan moves in the first direction. When the color difference is larger than or equal to the reference, the apparatus sets the printing direction to the second direction, and outputs the second partial print data to the print execution unit for printing the second partial print data while the main scan moves in the second direction.

An example system includes a processor and a non-transitory computer-readable medium having stored therein instructions that are executable to cause the system to perform various functions. The functions include obtaining a source profile associated with a print job and a destination profile associated with the print job. The functions also include, based on the source profile and the destination profile, generating a color conversion object that maps input colors of a source color space to output colors of a destination color space. In addition, the functions include training a neural network using the color conversion object so as to obtain weights associated with two or more hidden layers of nodes of the neural network. Further, the functions include receiving color data corresponding to pixels of the print job, and converting the color data from the source color space to the destination color space using the neural network.

A subset of pages in a job are analyzed for page complexity to determine if a repeating complexity pattern is present in the job. If a repeating complexity pattern is found, then the page complexities can be extrapolated to other pages in the job. One embodiment comprises a plurality of Raster Image Processors (RIPs) and a scheduler. The scheduler receives a print job, identifies a subset of logical pages in the print job for complexity analysis, and calculates a page complexity value for logical pages in the subset. The scheduler determines that a repeating pattern of page complexity values is present in the subset, and assigns page complexity values to remaining logical pages in the print job by extrapolating the repeating pattern of page complexity values to the remaining logical pages. The scheduler assigns the logical pages in the print job to the RIPs based on their page complexity value.

A printing apparatus converts predetermined data corresponding to the print target page into image data, holds the converted image data in a memory, executes a predetermined operation for transition of the printing apparatus to a printing standby state based on a delay in the conversion, prints image data held in the memory on a printing medium. The conversion is repeatedly executed for the predetermined data corresponding to each of a plurality of pages until an amount of image data held in the memory increases equal to or more than a predetermined amount, and image data corresponding to each of the plurality of pages is held in the memory, which is converted by the repeatedly executed conversion, and the image data is printed based on the amount of image data held in the memory increasing equal to or more than the predetermined amount.

A printing apparatus, including a printing device, a communication interface, a memory, and a controller, is provided. In a case where the controller determines that an image in image data is to be rotated and that a predetermined condition is satisfied, the controller conducts rotation of the image in the image data concurrently with rasterization of the image data and stores raster data including the rotated image in the memory. In a case where the controller determines that the image in the image data is to be rotated and that the predetermined condition is not satisfied, the controller conducts rasterization of the image data without rotating the image in the image data, and rotates a raster image in the raster data stored in the memory and generates the print data from the raster data including the rotated raster image.

An image processing apparatus performs a first generation process generating first partial print data by a first color conversion process using a first profile corresponding to a first direction, and a second generation process generating second partial print data using a second color conversion process using a second profile. When a color difference is smaller than a reference, the apparatus sets a printing direction to the first direction, and outputs the first partial print data to a print execution unit for printing the first partial print data while the main scan moves in the first direction. When the color difference is larger than or equal to the reference, the apparatus sets the printing direction to the second direction, and outputs the second partial print data to the print execution unit for printing the second partial print data while the main scan moves in the second direction.

A subset of pages in a job are analyzed for page complexity to determine if a repeating complexity pattern is present in the job. If a repeating complexity pattern is found, then the page complexities can be extrapolated to other pages in the job. One embodiment comprises a plurality of Raster Image Processors (RIPs) and a scheduler. The scheduler receives a print job, identifies a subset of logical pages in the print job for complexity analysis, and calculates a page complexity value for logical pages in the subset. The scheduler determines that a repeating pattern of page complexity values is present in the subset, and assigns page complexity values to remaining logical pages in the print job by extrapolating the repeating pattern of page complexity values to the remaining logical pages. The scheduler assigns the logical pages in the print job to the RIPs based on their page complexity value.