Kyocera Document Solutions Inc.

Kendrick Esperanza Wong

Dongpei Su

Kenneth Allen Schmidt

Michael M Chang

Sheng Li

Stephen L Schafer

Larry Lubman

Alfred Abkarian

Kunihiko Shimamoto

Norifumi Miyahara

Masayoshi Nakamura

Neil-Paul Payoyo Bermundo

Philip Ver Paloma Dabon

Yuzuru Naganuma

Jesus Reyes Beltran

Christa Neil

Donald Han

Kilho Shin

Systems and methods relate generally to graphics and image processing by a printing device. In such a method, a graphics orderlist is obtained by a printer engine. The graphics orderlist has at least one imaging issue for printing an associated image. A debug mode is entered for debugging the graphics orderlist. A selection for a debug region is received. A graphic order of the graphics orderlist is executed by a graphic execution unit of the printer engine in the debug mode. The graphic execution unit determines whether the debug region is accessed by the execution of the graphic order. Responsive to the debug region being accessed for the execution of the graphic order, an interrupt is issued. Information of the graphic order and buffer contents associated with the debug region is stored in a log file.

Graphics and image processing for debugging for a printing

A system employs a trained model to detect artifact(s) associated with artifact type(s) appearing in a reproduction of a source image (a test image). The system determines differences between the test image and the source image and outputs probabilities that the artifact(s) in the test image are associated with each of the artifact type(s). A dataset for training the model includes: (i) a reference category including reference image(s) without any artifacts; and (ii) artifact categories, each corresponding to a respective one of the artifact types and including noised images associated with the respective artifact type. Each noised image includes one of the reference images and an artifact associated with the respective artifact type. The model is trained to detect the artifact type(s) by providing the model with the dataset and causing the model to process differences between each noised image and the reference image in the noised image.

Artificial intelligence software for document quality inspection

Provided is an image processing apparatus that improves the performance when performing image processing accompanying an analysis. An image acquisition unit acquires processing image data for performing processing. A normal image processing unit performs normal image processing for normal output on the processing image data acquired by the image acquisition unit and outputs the normal image data. An analysis image processing unit performs analysis image processing accompanied by analysis in parallel with the normal image processing by the normal image processing unit and outputs the analysis image data. A merge processing unit merges the normal image data output by the normal image processing unit and the analysis image data output by the analysis image processing unit and outputs print data for printing.

Image processing apparatus, image forming apparatus, and image processing method that performs analysis image processing during normal image processing

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.

Single command for reading then clearing a memory buffer

Provided is an image forming apparatus that speeds up the auto color mode. The image forming apparatus includes a document reading unit that reads a document including a plurality of pages and outputs image data and can determine whether the document is a color document or a monochrome document. In the document read by the document reading unit, when monochrome pages of the first specific number of pages or more continues in the same job, a document determining unit predicts that the subsequent page is also determined to be a monochrome document. When the document is predicted by the document determination unit to be a monochrome document, an image processing unit performs monochrome image processing for the monochrome document on the image data immediately after reading.

Image forming apparatus, image processing method, and image forming method for speeding up continuous monochrome document in auto color mode

Provided is an image forming apparatus that speeds up the performance in the auto color mode. A document reading unit reads a document and outputs image data. A document determination unit temporarily determines the document as a monochrome document when the ratio of the color components of the document is equal to or less than the monochrome threshold value at a specific timing after the document reading unit starts reading the document. An image processing unit performs monochrome image processing on the image data. A document determination unit determines that the document is a color document when the ratio of the color components of the image data is equal to or more than the color threshold value while the image processing for the monochrome document is being performed.

Image forming apparatus, image processing method, and image forming method for speeding up auto color mode by monochrome threshold value

Provided is an image processing apparatus that utilizes the storage capacity of a ring buffer. A ring buffer is set in the storage unit. A page area setting unit allocates a maximum size page area in page units of the job in the ring buffer set in the storage unit. A band storing unit stores band data while compressing the band data in the page area allocated by the page area setting unit. An image processing unit performs image processing of the band data stored by the band storing unit. Then, the page area setting unit determines whether or not the page has high possibility to be reused, and when the page has high possibility to be reused, the page area setting unit allocates the page area at the head of the ring buffer.

Image processing apparatus, image forming apparatus, and image processing method for effectively utilizing storage capacity of ring buffer

Provided is an image processing apparatus that efficiently uses the ring buffer. A ring buffer is set in the storage unit. A page area setting unit allocates a maximum size page area in the page unit of the job in the ring buffer. A band storing unit stores band data while compressing the band data in the page area allocated by the page area setting unit. An image processing unit performs image processing on the band data. A temporary deletion unit sets the page area including the band data into a temporary deletion state in which overwriting is possible at a specific timing. Here, when the band data of the page is needed again and the temporarily deleted page area is not overwritten, the page area setting unit reuses the page area.

Image processing apparatus, image forming apparatus, and image processing method for temporarily deleting page area of ring buffer

Provided is an image processing apparatus for improving efficiency of a clipping process. The image processing unit is an image processing apparatus for a raster image processor (RIP) mounted in an image forming apparatus. An order acquiring unit acquires instructions for image processing. A determination unit, in a case where clipping is set according to the instructions acquired by the order acquiring unit, determines whether that clipping is to be in an inclusive mode or an exclusive mode, and in a case of the exclusive mode, calculates pixels that are to be protected in a frame for which image processing is to be performed, and sets a number of pixels necessary for a clipping process. A clip processing unit, in the inclusive mode, in a case where a shape unit for which clipping is to be performed is a rectangle, performs clipping by evaluating a clipping area that includes the shape unit and a frame for which image processing is to be performed, and setting a different frame; and in a case where the shape unit is a trapezoid or a scan line, performs clipping by evaluating a positional relationship between the frame and a line being processed, and setting a different line; and in the exclusive mode, performs clipping by setting a number of pixels calculated by the determination unit without setting a different line, and performing evaluation of the clipping area and each line.

Image processing apparatus, image forming apparatus and image processing method for improving efficiency of clipping process

Embodiments improve processing of data by determining if a read-modify-write operation on a frame is necessary or not. Some frames may be converted into a block of 8 bpp data. There may be no need to read the destination since the unnecessary pixels may be protected by the byte-enables. The burst write transfer may be performed for the entire frame when it is 8 bpp depth. An original transfer frame may be split into smaller portions of the frame. One or more of the smaller frame portions may be converted into byte alignment thus obviating the need for the read function to be performed on the smaller frame portions. Accordingly, significant bits of data are no longer processed under this operation which speeds up the overall processing of data. Portions of transfer frames that may not be converted to 8 bpp may be processed with read-modify-write operations.

Systems, processes, and computer program products for acceleration of bit-per-pixel fill transfers in a graphics rendering system

Provided is an image processing apparatus that improves performance of reading data of a RIP process. A multi-channel DMA (Direct Memory Access) controller performs reading or writing of stored data related to a RIP (Raster Image Processor). A FIFO (First In, First Out) is able to change a number of entries for each of the channels of the multi-channel DMA controller. An image processing control unit interprets the RIP order, and according to that order, changes the configuration of the number of entries for each of the channels, and controls processing of the data.

Image processing apparatus, image forming apparatus, and image processing method for improving performance of reading data of RIP process

Example systems and related methods relate to rendering using smooth shading. A computing device can receive information about an image, the information including one or more patches, where a particular patch of the one or more patches is specified using a plurality of non-linear equations. The computing device can determine one or more linear approximations to a particular non-linear equation of the plurality of non-linear equations. The computing device can update the particular patch to replace the particular non-linear equation with at least one linear approximation of the one or more linear approximations. The computing device can render at least part of the image by at least rendering the updated particular patch. The computing device can generate an output that includes the rendered at least part of the image.

Utilizing smooth shading patches in image rendering

Provided is an image processing apparatus for increasing the speed of pixel processing of index colors. A LUT reading unit reads a LUT for converting index colors to pixel values for each plane. A first storage unit stores the look up table read by the LUT reading unit. A plane LUT copying unit acquires pixel values corresponding to each place from the look up table stored in the first storage unit. A second storage unit stores the pixel values acquired by the plane LUT copying unit. A pixel processing unit performs image data processing using the pixel values stored in the second storage unit.

Image processing apparatus, image forming apparatus and image processing method for increasing speed of pixel processing of index colors

Methods and apparatus for radial gradient rendering are provided. A graphics computing device can include a radial gradient module (RGM), which can include circuitry for radial gradient rendering. The RGM can receive one or more parameters associated with rendering at least a portion of an image utilizing radial gradient rendering. The RGM can map one or more input coordinates of the image to one or more source domain coordinates. The RGM can determine a t-value for the source domain coordinates, the t-value specifying an ellipse in the source domain whose edge includes the source domain coordinates. The RGM can determine a color value for the input coordinates based on the specified ellipse. The RGM can generate an output that is based on the color value.

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Torrance, CA, United States of America

Kendrick Esperanza Wong