CN111223033A - Image processing apparatus and image processing method - Google Patents
Image processing apparatus and image processing method Download PDFInfo
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Abstract
The invention provides an image processing device and method, which are used for processing a vector image formed by superposing a plurality of vector layers to form a pixel image and comprise a data quantity acquisition part, a pixel image processing part and a pixel image processing part, wherein the data quantity acquisition part is used for acquiring the layer data quantities of all the vector layers according to a preset sequence; the layer grouping part divides all the vector layers into a plurality of layer groups according to the layer data volume and a preset data volume threshold value and based on a preset sequence; the integration conversion part is used for performing integration conversion on all vector layers in each layer group based on a preset sequence to generate pixel layers corresponding to each layer group; and a merging output unit that merges the plurality of pixel layers based on a predetermined order to obtain a pixel image and outputs the pixel image. The method and the device have the advantages that the vector images with large data volumes can be divided into multiple groups for processing when being converted into pixel images, conversion failure caused by overlarge data volumes generated during conversion of the vector images with large data volumes is avoided, and the conversion process is not affected by the data volumes.
Description
Technical Field
The present invention relates to the field of digital image processing, and in particular, to an image processing apparatus and an image processing method.
Background
The vector image is composed of a plurality of layers of vector layers, and the layer function of the vector image can enable a plurality of images, characters and vector graphics to be superposed and stored in a file, so that a user can effectively combine the contents in the plurality of layers. Some image processing apparatuses (e.g., printers) cannot directly recognize such vector images, and therefore when a user finishes editing the vector images and needs to use them, it is necessary to convert the vector images into pixel images by an image conversion technique.
In the existing image conversion technology, the above vector image conversion process is to directly introduce the whole vector image into the conversion device, and then draw each vector layer on the pixel canvas in sequence until all vector layers are drawn and then output the pixel image on the pixel canvas.
In the above process, when the conversion device draws the vector layers onto the pixel canvas, a large amount of conversion data is generated, so that the calculation capacity of the conversion device is occupied, and since the conversion device needs to convert all the vector layers at the same time, the calculation capacity occupied in the conversion process is multiplied, so that when the data volume of the vector image is greater than 100M, the calculation capacity overflow is generated by a common conversion device, and the conversion process is broken down, so that the conversion cannot be completed.
Disclosure of Invention
The present invention has been made to solve the above-described problems, and an object of the present invention is to provide an image processing apparatus and an image processing method that can convert a vector image into a pixel image without affecting the conversion effect due to an excessively large amount of data of the vector image.
The present invention provides an image processing apparatus for processing a vector image formed by superimposing a plurality of vector layers to form a pixel image, comprising: a data amount acquisition unit that acquires the layer data amounts of all the vector layers in a predetermined order; the layer grouping part divides all the vector layers into a plurality of layer groups according to the layer data volume and a preset data volume threshold value and based on a preset sequence; the integration conversion part is used for performing integration conversion on all vector layers in each layer group based on a preset sequence to generate pixel layers corresponding to each layer group; and a merging output unit that merges the plurality of pixel layers based on a predetermined order to obtain a pixel image and outputs the pixel image.
The invention provides an image processing method, which is used for processing a vector image formed by superposing a plurality of vector layers to form a pixel image, and is characterized by comprising the following steps of: a data quantity obtaining step, namely obtaining the layer data quantities of all the vector layers according to a preset sequence; a layer grouping step, namely dividing all vector layers into a plurality of layer groups according to the layer data quantity and a preset data quantity threshold value and based on a preset sequence; an integration conversion step, namely performing integration conversion on all vector layers in each layer group based on a preset sequence to generate pixel layers corresponding to each layer group; and a merging output step, namely merging the plurality of pixel layers based on a preset sequence to obtain a pixel image and outputting the pixel image.
Action and Effect of the invention
According to the image processing device and method, the data quantity acquisition part can read the layer data quantity of each vector layer of the vector image, the layer grouping part groups each vector layer according to the layer data quantity to form a plurality of image layer groups of which the total data quantity does not exceed the data quantity threshold, the integration conversion part integrates and converts the vector layers in the image layer groups into the pixel layers respectively, and the combination output part combines all the pixel layers to output the pixel image, so that the vector image with large data quantity can be divided into a plurality of groups to be processed when being converted into the pixel image, the vector image with large data quantity cannot be converted into the pixel image due to overlarge data quantity generated in the conversion process, the vector image cannot overflow in the conversion process into the pixel image, and the image conversion failure can be avoided.
Drawings
FIG. 1 is a schematic structural diagram of an image processing apparatus according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a layer grouping part in an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an integrated converting part according to an embodiment of the invention; and
FIG. 4 is a flowchart illustrating a vector image processing procedure according to an embodiment of the present invention.
Detailed Description
In order to make the technical means, the creation features, the achievement objects and the effects of the invention easy to understand, the following embodiment and the accompanying drawings are used to specifically describe the real face recognition device of the invention.
The present invention provides an image processing apparatus for processing a vector image formed by superimposing a plurality of vector layers to form a pixel image, comprising: a data amount acquisition unit that acquires the layer data amounts of all the vector layers in a predetermined order; the layer grouping part divides all the vector layers into a plurality of layer groups according to the layer data volume and a preset data volume threshold value and based on a preset sequence; the integration conversion part is used for performing integration conversion on all vector layers in each layer group based on a preset sequence to generate pixel layers corresponding to each layer group; and a merging output unit that merges the plurality of pixel layers based on a predetermined order to obtain a pixel image and outputs the pixel image.
As a first aspect, the present invention provides an image processing apparatus comprising: wherein, the layer grouping part comprises a current group setting unit, a current layer setting unit, a grouping addition unit, an accumulation unit, a judgment unit and a grouping control unit, the current group setting unit sets a new layer group as a current layer group in sequence, the current layer setting unit sets a vector layer as a current layer in sequence, the grouping control unit controls the grouping addition unit to add the current layer group to the current layer group, the accumulation control unit accumulates the layer data quantities of all vector layers in the current layer group and the next vector layer of the current layer to obtain a current accumulated data quantity, the judgment control unit judges whether the current accumulated data quantity is larger than a data quantity threshold value, the current layer setting unit is further controlled to set a new current layer when the current layer quantity is smaller than the current layer threshold value, the current group setting unit is controlled to set a new current layer group when the current layer quantity is larger than the current layer threshold value, and the current layer setting unit is controlled to set a new current layer, until all vector layers are set by the current layer setting unit and added by the grouping adding unit.
In the first aspect, the present invention may further have the following features: the data amount threshold is set to 7% of the calculation capacity of the integration conversion unit.
As a second aspect, the present invention provides an image processing apparatus, comprising: the layer grouping part uniformly adds each vector layer to the image layer groups established according to the group number according to a preset sequence.
In the first aspect, the present invention may further have the following features: the integration conversion part comprises a plurality of integration conversion units which respectively carry out integration conversion simultaneously to generate pixel layers.
In the first aspect, the present invention may further have the following features: the integration conversion part further comprises an allocation control unit and a pixel layer temporary storage unit, wherein the allocation control unit sequentially controls each integration conversion unit to respectively perform integration conversion on each layer group according to a preset sequence to generate a corresponding pixel layer, and controls the pixel layer temporary storage unit to temporarily store the pixel layers according to the preset sequence.
The invention provides an image processing method, which is used for processing a vector image formed by superposing a plurality of vector layers to form a pixel image, and is characterized by comprising the following steps of: a data quantity obtaining step, namely obtaining the layer data quantities of all the vector layers according to a preset sequence; a layer grouping step, namely dividing all vector layers into a plurality of layer groups according to the layer data quantity and a preset data quantity threshold value and based on a preset sequence; an integration conversion step, namely performing integration conversion on all vector layers in each layer group based on a preset sequence to generate pixel layers corresponding to each layer group; and a merging output step, namely merging the plurality of pixel layers based on a preset sequence to obtain a pixel image and outputting the pixel image.
< example one >
Fig. 1 is a schematic structural diagram of an image processing apparatus according to a first embodiment of the present invention.
As shown in fig. 1, the image processing apparatus 100 includes a data amount acquisition section 1, a layer grouping section 2, an integration conversion section 3, a merge output section 4, and a processing-side control section 5.
The processing-side control unit 5 controls operations of the respective components of the image processing apparatus 100. In the present embodiment, the image processing apparatus 100 is configured to process a vector image formed by superimposing a plurality of vector layers to form a pixel image. A vector image is a vector graphics (e.g., an image in SVG format) capable of layering vector objects and embedding external images, and a pixilated image is a pixilated picture (e.g., an image in PNG, JPG, TIFF format) composed of pixels.
The data amount obtaining section 1 obtains the layer data amount of the vector layer in a predetermined order.
In this embodiment, the predetermined order is a superimposition order of the vector layers (for example, an order from the lowest layer to the top in sequence in the vector image), and the layer data amount is a data amount of each vector layer.
The layer grouping part 2 divides all the vector layers into a plurality of layer groups according to the layer data amount acquired by the data amount acquiring part 1 and a preset data amount threshold value and based on a preset sequence.
In the present embodiment, the data amount threshold is set to 7% of the calculation capacity of the integration conversion unit 3. Through tests, the inventor finds that about 15 times of data increment is generated in the process of converting a vector image into a pixel image (namely, the occupied calculation capacity is increased by 15M when the vector image is converted every time the data amount of the vector image is increased by 1M), so that when the size of the vector image is less than 7% of the calculation capacity, the conversion is not broken and the conversion fails.
Fig. 2 is a schematic structural diagram of a layer grouping part in an embodiment of the present invention.
As shown in fig. 2, the layer grouping section 2 of the present embodiment is a layer grouping processing section that dynamically divides a vector layer based on the layer data amount, and includes a current group setting unit 21, a current layer setting unit 22, a group adding unit 23, an accumulating unit 24, a judging unit 25, and a group control unit 26.
The grouping control unit 26 is configured to control operations of the respective components of the layer grouping section 2 related to the layer grouping process, and includes a current group setting unit 21, a current layer setting unit 22, a grouping addition unit 23, an accumulation unit 24, and a determination unit 25.
The current group setting unit 21 is configured to set a new layer group, and sequentially set the new layer group as a current layer group.
In this embodiment, when setting a new layer group, the current group setting unit 21 may also set a layer group order for each layer group, and since the layer group order is formed by merging vector layers according to a predetermined order, the layer group order is the same as the predetermined order of the vector layers (i.e., from bottom to top).
The current layer setting unit 22 is configured to set the vector layers as current layers in sequence. In this embodiment, the current layer setting unit 22 sets each vector layer as a current layer in sequence according to a predetermined order under the control of the grouping control unit 26.
The packet appending unit 23 is configured to append the current layer to the current layer group.
The accumulation unit 24 is configured to accumulate layer data volumes of all vector layers in the current layer group and a vector layer next to the current layer to obtain a current accumulated data volume.
The judging unit 25 is configured to judge whether the current accumulated data amount is larger than a data amount threshold.
In this embodiment, each time the current layer setting unit 22 sets a current layer, the grouping control unit 26 controls the grouping adding unit 23 to add the current layer to the current layer group, controls the accumulating unit 24 to perform accumulation calculation of the current accumulated data amount, and further controls the determining unit 25 to determine whether the current accumulated data amount is greater than the data amount threshold. When the judgment unit 25 judges no, the grouping control unit 26 controls the current layer setting unit 22 to set the next vector layer as a new current layer in a predetermined order; when the judgment unit 25 judges that the current image layer is larger than the current image layer, the grouping control unit 26 controls the current group setting unit 21 to set a new current image layer group and controls the current image layer setting unit 22 to set the next vector image layer as a new current image layer in a predetermined order. The grouping control unit 26 controls the units related to layer grouping in such a manner that the vector layers are sequentially divided into the same or different map layer groups until all the vector layers are completely added by the grouping addition unit 23.
The integration conversion section 3 performs integration conversion on all vector layers in each layer group based on a predetermined order to generate pixel layers corresponding to the respective layer groups.
Fig. 3 is a schematic structural diagram of an integrated converting part according to an embodiment of the invention.
As shown in fig. 3, the integration conversion unit 3 has an integration conversion unit 31, a pixel layer temporary storage unit 32 and an allocation control unit 33, wherein the number of the integration conversion unit 31 is plural.
The distribution control unit 33 is configured to control operations of the respective components of the integration conversion unit 3, including controlling operations of the integration conversion unit 31 and the pixel layer temporary storage unit 32.
The integration conversion unit 31 is configured to perform integration conversion on all vector layers in one layer group to generate corresponding pixel layers. When the layer grouping part 2 completes grouping all the vector layers, the allocation control unit 33 sequentially controls each integration conversion unit 31 to process each layer group according to the sequence of the layer groups.
In this embodiment, the integration conversion unit 31 is an operation thread that converts a vector layer into a pixel layer, and each integration conversion unit 31 can operate simultaneously under the control and coordination of the distribution control unit 33.
In this embodiment, the allocation control unit 33 may detect the operating state of each integration conversion unit 31, perform layer group allocation according to the sequence of processing a layer group, and allocate the next layer group to be processed to the idle integration conversion unit 31 when detecting that the integration conversion unit 31 is in the idle state.
In this embodiment, since the pixel layer and the layer group are generated by conversion in a one-to-one correspondence relationship, each time the integral conversion unit 31 generates one pixel layer, a pixel layer sequence corresponding to the layer group sequence is set for the pixel layer.
The merging output unit 4 merges the plurality of pixel layers in accordance with a predetermined order to obtain a pixel image and outputs the pixel image. In this embodiment, the merging output unit 4 sets a predetermined order for merging the pixel layers according to the pixel layer order.
In other embodiments, the predetermined sequence may also be a numbering sequence generated by numbering vector layers, and the data amount obtaining part 1 and the layer grouping part 2 process the vector layers according to the numbering sequence; when the layer grouping part 2 generates the layer groups, the layer group number sequence is set according to the generation sequence of each layer group, and the conversion part 3 and the merging output part 4 are integrated to complete the conversion of the pixel images according to the layer group number sequence.
FIG. 4 is a flowchart illustrating a vector image processing procedure according to an embodiment of the present invention.
As shown in fig. 4, the vector image processing procedure is a flowchart in which the image processing apparatus 100 converts a vector image to generate a pixel image.
When a vector image is acquired, the image processing apparatus 100 performs conversion processing on the vector image, and starts the following steps:
step S1, the data amount obtaining section 1 obtains the layer data amounts of all the vector layers in the vector image in a predetermined order, and then proceeds to step S2;
step S2, the current group setting unit 21 sets a new picture layer group as the current picture layer group, and then proceeds to step S3;
in step S3, the grouping control unit 26 determines whether there is a next vector layer and that it is not processed in a predetermined order, and if so, proceeds to step S4; if not, the step S8 is executed;
in step S4, the grouping control unit 26 controls the current layer setting unit 22 to set the vector layer determined in step S3 as the current layer, and then proceeds to step S5;
in step S5, the grouping control unit 26 controls the grouping addition unit 23 to add the current layer set in step S4 to the current layer group set in step S2, and then proceeds to step S6;
in step S6, the grouping control unit 26 controls the accumulation unit 24 to accumulate the layer data volumes of all vector layers in the current layer group and the next vector layer of the current layer group to obtain the current accumulated data volume, and then the process goes to step S7;
in step S7, the grouping control unit 26 determines whether the current accumulated data amount obtained in step S5 is larger than the data amount threshold by the determination unit 25, if not, the process proceeds to step S3, and if yes, the process proceeds to step S2;
in step S8, the allocation control unit 33 detects whether all the layer groups set in step S2 have been converted into pixel layers, if yes, the process proceeds to step S9, and if yes, the process proceeds to step S12;
in step S9, the assignment control unit 33 detects whether the state of the integration changeover unit 31 is idle, and if so, it goes to step S10;
in step S10, the assignment control unit 33 assigns one map layer group to the integration conversion unit 31 detected in step S9 according to a predetermined order, and then proceeds to step S11;
step S11, the integration conversion unit 31 combines the map layers allocated in step S10 into pixel map layers, the allocation control unit 33 controls the pixel map layer temporary storage unit 32 to temporarily store the pixel map layers according to a predetermined sequence, and then step S8 is performed;
in step S12, the merging output unit 4 merges all the pixel layers temporarily stored in step S11 into a pixel image and outputs the pixel image, and then enters an end state.
< example two >
In the second embodiment, the same components as those in the first embodiment are denoted by the same reference numerals, and the same description thereof is omitted.
Compared with the first embodiment, the layer grouping part 2 in the second embodiment adopts an averaging method to realize layer grouping. In this case, the layer grouping unit 2 can divide the image layer group by the image layer group calculating unit based on the data amount threshold and the data amount of the vector image, and the general procedure is as follows:
the map layer group calculation unit calculates the number of groups of map layer groups, which is a positive integer obtained by dividing the sum of layer data amounts of all vector layers of the vector image by the data amount threshold, based on the data amount threshold and the data amount of the vector image.
When the number of groups is calculated by the layer group calculating section, the grouping control unit 26 controls the current group setting unit 21 to set a corresponding number of layer groups according to the number of groups.
After the current group setting unit 21 sets a corresponding number of map layer groups, the packet control unit 26 controls the packet adding unit 23 to uniformly add the respective vector layers of the vector image to the respective map layer groups in a predetermined order (for example, when 8 vector layers are added to 2 map layer groups, each map layer group is added with 4 vector layers).
Examples effects and effects
According to the image processing apparatus and method provided by this embodiment, the data amount obtaining portion can read the layer data amount of each vector layer of the vector image, the layer grouping portion groups each vector layer according to the layer data amount to form a plurality of image layer groups whose data amounts do not exceed the data amount threshold, the integration conversion portion integrates and converts the vector layers in the image layer groups into pixel layers, and the merging output portion merges all the pixel layers to output pixel images, so that the vector image with large data amount can be divided into a plurality of groups for processing when being converted into pixel images, and thus the vector image with large data amount cannot be converted into pixel images due to too large data amount generated during conversion, and the process of converting the vector image into the pixel images cannot be affected by the size.
In an embodiment, the layer grouping part is a layer processing part for dynamically dividing the vector layers based on the data amount of the layers, and when the data amount of a plurality of vector layers does not exceed the data amount threshold, the vector layers are divided into one map layer group, so that the phenomenon that the data amount of the map layer group is too large or too small due to uneven data amount distribution of the vector layers is effectively avoided.
In an embodiment, the layer grouping part can group the vector layers according to the data amount threshold to generate a layer group, so that the situation that the data amount is still too large in the layer group obtained after dividing the vector image is avoided, and meanwhile, the data amount threshold is dynamically calculated according to the calculation capacity of the integration conversion part, so that the conversion time is not prolonged due to too many divisions of the layer group.
In the embodiment, the layer grouping part adopts an averaging method, so that the number of groups of the layer group to be divided can be quickly calculated according to the data amount of the vector image, and the corresponding vector layer is added, thereby saving the calculation amount and the grouping time of the layer grouping part.
In the embodiment, the integration conversion part is provided with a plurality of integration conversion units, and can simultaneously integrate and convert the layer groups divided by the layer grouping part, so that parallel work is realized, and the efficiency of the image conversion process is higher.
In the embodiment, the integration conversion part is provided with an allocation control unit for controlling the work of the integration conversion unit, the layer groups divided by the layer grouping part are orderly allocated to the integration conversion unit, meanwhile, the working state of the integration conversion unit can be monitored in real time, the integration conversion unit is enabled to carry out the conversion of the next layer group in time, the more effective allocation is realized, and the working efficiency of the image conversion process is improved.
The above-described embodiments are merely illustrative of specific embodiments of the present invention, and the present invention is not limited to the description of the above-described embodiments.
Claims (7)
1. An image processing apparatus for processing a vector image formed by superimposing a plurality of vector layers to form a pixel image, comprising:
a data amount acquisition unit configured to acquire layer data amounts of all the vector layers in a predetermined order;
the layer grouping part divides all the vector layers into a plurality of layer groups according to the layer data volume and a preset data volume threshold value and based on the preset sequence;
an integration conversion part which performs integration conversion on all the vector layers in each image layer group based on the preset sequence to generate pixel layers corresponding to each image layer group; and
and a merging output unit configured to merge the plurality of pixel layers based on the predetermined order to obtain the pixel image and output the pixel image.
2. The image processing apparatus according to claim 1, characterized in that:
wherein the layer grouping part comprises a current group setting unit, a current layer setting unit, a grouping addition unit, an accumulation unit, a judgment unit and a grouping control unit,
the current group setting unit sequentially sets a new layer group as a current layer group,
the current layer setting unit sequentially sets the vector layer as a current layer,
the grouping control unit controls the grouping adding unit to add the current layer to the current layer group, controls the accumulating unit to accumulate the layer data volume of all the vector layers in the current layer group and the next vector layer of the current layer to obtain the current accumulated data volume, controls the judging unit to judge whether the current accumulated data volume is larger than the data volume threshold value or not, and further controls the current layer setting unit to set a new current layer when the current accumulated data volume is smaller than the data volume threshold value, and when the current image layer is judged to be larger than the preset image layer, the current group setting unit is controlled to set a new current image layer group and the current image layer setting unit is controlled to set a new current image layer until all the vector image layers are set by the current image layer setting unit and added by the grouping adding unit.
3. The image processing apparatus according to claim 1 or 2, characterized in that:
wherein the data amount threshold is set to 7% of the calculation capacity of the integrated converting section.
4. The image processing apparatus according to claim 1, characterized in that:
wherein, the layer grouping part adopts an equipartition method,
the group number of the map layer groups is a positive integer which is obtained by dividing the sum of the layer data amount of all the vector layers of the vector image by the data amount threshold value and then rounding,
and the layer grouping part uniformly adds each vector layer to the graph layer groups established according to the group number according to a preset sequence according to the group number.
5. The image processing apparatus according to claim 1, characterized in that:
the integration conversion part comprises a plurality of integration conversion units which respectively carry out integration conversion simultaneously to generate the pixel layers.
6. The image processing apparatus according to claim 5, characterized in that:
wherein the integration conversion part further comprises a distribution control unit and a pixel layer temporary storage unit,
the distribution control unit sequentially controls the integration conversion units to respectively integrate and convert the image layer groups according to the preset sequence to generate corresponding pixel layers, and controls the pixel layer temporary storage unit to temporarily store the pixel layers according to the preset sequence.
7. An image processing method for processing a vector image formed by superimposing a plurality of vector layers to form a pixel image, comprising the steps of:
a data quantity obtaining step, namely obtaining the layer data quantity of all the vector layers according to a preset sequence;
a layer grouping step, namely dividing all the vector layers into a plurality of layer groups according to the layer data volume and a preset data volume threshold value and based on the preset sequence;
integrating and converting, namely performing integrating and converting on all the vector layers in each layer group based on the preset sequence to generate pixel layers corresponding to each layer group;
and a merging output step of merging the plurality of pixel layers based on the predetermined sequence to obtain the pixel image and outputting the pixel image.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007200118A (en) * | 2006-01-27 | 2007-08-09 | Canon Inc | Image forming apparatus and image processing method |
| JP2007290257A (en) * | 2006-04-25 | 2007-11-08 | Canon Inc | Image forming device, and image forming method |
| KR20090105643A (en) * | 2008-04-03 | 2009-10-07 | 재단법인서울대학교산학협력재단 | Method For Vector Graphics Rasterization |
| CN101989348A (en) * | 2009-07-30 | 2011-03-23 | 株式会社理光 | Image processing apparatus, image processing method, and computer readable storage medium |
| CN103177419A (en) * | 2011-12-23 | 2013-06-26 | 上海为舟网络科技有限公司 | Caching method for vector diagram converted bitmap and special image processing device |
| US20130315500A1 (en) * | 2012-05-23 | 2013-11-28 | Sony Corporation | Image processing apparatus, image processing method, and program |
| CN104240245A (en) * | 2014-09-10 | 2014-12-24 | 中国科学院光电技术研究所 | Method for transforming vectorgraph into bitmap and carrying out self-adaption segmentation |
| CN104933747A (en) * | 2015-06-10 | 2015-09-23 | 北京奇虎科技有限公司 | Method and device for converting vector animation into bitmap animation |
| JP2018066925A (en) * | 2016-10-21 | 2018-04-26 | 日本アビオニクス株式会社 | Multi-layer image synthesizing apparatus |
-
2018
- 2018-11-26 CN CN201811414422.8A patent/CN111223033B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007200118A (en) * | 2006-01-27 | 2007-08-09 | Canon Inc | Image forming apparatus and image processing method |
| JP2007290257A (en) * | 2006-04-25 | 2007-11-08 | Canon Inc | Image forming device, and image forming method |
| KR20090105643A (en) * | 2008-04-03 | 2009-10-07 | 재단법인서울대학교산학협력재단 | Method For Vector Graphics Rasterization |
| CN101989348A (en) * | 2009-07-30 | 2011-03-23 | 株式会社理光 | Image processing apparatus, image processing method, and computer readable storage medium |
| CN103177419A (en) * | 2011-12-23 | 2013-06-26 | 上海为舟网络科技有限公司 | Caching method for vector diagram converted bitmap and special image processing device |
| US20130315500A1 (en) * | 2012-05-23 | 2013-11-28 | Sony Corporation | Image processing apparatus, image processing method, and program |
| CN104240245A (en) * | 2014-09-10 | 2014-12-24 | 中国科学院光电技术研究所 | Method for transforming vectorgraph into bitmap and carrying out self-adaption segmentation |
| CN104933747A (en) * | 2015-06-10 | 2015-09-23 | 北京奇虎科技有限公司 | Method and device for converting vector animation into bitmap animation |
| JP2018066925A (en) * | 2016-10-21 | 2018-04-26 | 日本アビオニクス株式会社 | Multi-layer image synthesizing apparatus |
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