CN110087088B - Data storage method based on motion estimation, terminal equipment and storage medium - Google Patents
Data storage method based on motion estimation, terminal equipment and storage medium Download PDFInfo
- Publication number
- CN110087088B CN110087088B CN201910382988.5A CN201910382988A CN110087088B CN 110087088 B CN110087088 B CN 110087088B CN 201910382988 A CN201910382988 A CN 201910382988A CN 110087088 B CN110087088 B CN 110087088B
- Authority
- CN
- China
- Prior art keywords
- data
- memory
- image
- dimensional pixel
- elements
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
- H04N19/423—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation characterised by memory arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
- H04N19/51—Motion estimation or motion compensation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
- H04N19/51—Motion estimation or motion compensation
- H04N19/567—Motion estimation based on rate distortion criteria
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Analysis (AREA)
- Image Input (AREA)
Abstract
The invention relates to a data storage method based on motion estimation, a terminal device and a storage medium, wherein the method comprises the following steps: the image is divided into a plurality of one-dimensional pixel arrays, elements in each one-dimensional pixel array are stored in different storage modules in sequence, and a plurality of adjacent elements in the same row or column in the image are stored in different storage modules respectively. The invention can make each element to be read in the scanning process be read in parallel in the same period by different storage modules, thereby eliminating the defect of sequential reading and accelerating the scanning speed.
Description
Technical Field
The present invention relates to the field of digital video compression technologies, and in particular, to a method, a terminal device, and a storage medium for storing data based on motion estimation.
Background
In both the industrial and academic fields, there are a variety of motion estimation solutions. The raster scanning strategy predicts the minimum rate distortion of the current block by searching for blocks in the reference frame. It is usually the most computationally intensive function and efficient implementation is highly desirable. The number of memory accesses is a key factor in the implementation.
In the conventional motion estimation algorithm based on raster scanning, pixel elements with the same column number are written into a common memory. This storage may result in inefficient access of the motion estimation algorithm to memory. Taking fig. 1 as an example, the one-dimensional pixel array is stored in the memory in the same way as the column sequence number, at this time, the motion estimation algorithm based on the raster scanning strategy needs to continuously scan a line from left to right in a window of 3 × 3 size, move the window down by the distance of one pixel point when reaching the right boundary, and continuously scan a line from right to left, and in this way, complete the traversal of the entire 6 × 6 pixel array. If the pixel points are stored in the same way of the column sequence numbers, the window with the size of 3 multiplied by 3 needs to read 3 pixel elements from the same memory when moving one pixel point distance to the left or right every time. However, since there are typically only one or two read ports, reading 3 pixel elements takes at least two clock cycles, which causes the pipeline in the processing module to take at least one additional cycle waiting for the memory to provide data. This problem still exists if the window of size 3 x 3 is not from left to right in the direction of initial movement, but from top to bottom. When a window of 3 × 3 size is scanned to the lower boundary in the sequence from top to bottom, the window needs to move to the right by one pixel distance, and at this time, 3 pixel elements need to be sequentially read from the same memory. This sequential read behavior increases the number of memory accesses and reduces computational throughput.
Disclosure of Invention
In order to solve the above problems, the present invention provides a data storage method, a terminal device and a storage medium based on motion estimation, so as to accelerate the scanning speed.
The specific scheme is as follows:
a method of motion estimation based data storage, comprising: the image is divided into a plurality of one-dimensional pixel arrays, elements in each one-dimensional pixel array are stored in different storage modules in sequence, and a plurality of adjacent elements in the same row or column in the image are stored in different storage modules respectively.
Further, the method specifically comprises the following steps:
s1: setting p storage modules for storing image data, and numbering the storage modules in sequence;
s2: calculating the number of elements contained in each row or column in the image, judging whether the number of the elements contained in each row or column is an integral multiple of p, if not, complementing the number of the elements contained in the rows or columns of the elements to be the integral multiple of p, and then entering S3, otherwise, directly entering S3;
s3: dividing an image into a plurality of one-dimensional pixel arrays;
s4: storing all elements in all the one-dimensional pixel arrays into p storage modules, wherein the specific process is as follows: storing the ith element in the one-dimensional pixel array of the nth row or column into the s-th storage module, wherein: s ═ i% p, where% denotes the remainder.
Further, the one-dimensional pixel array is stored in the storage module from top to bottom and from left to right.
A data storage terminal device based on motion estimation, comprising a processor, a memory and a computer program stored in the memory and operable on the processor, wherein the processor implements the steps of the method described above in the embodiments of the present invention when executing the computer program, and the memory comprises at least p memory modules.
Furthermore, each memory module at least comprises a write data port, a write address port, a read data port and a read address port.
Further, the width of the write data port is equal to the bit width of a single pixel data in the image data.
Further, the width of the read data port is equal to the bit width of a single pixel data in the image data.
Further, the width of the write data port is equal to the width of the read data port, and both are equal to the bit width of a single pixel data in the image data.
A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to an embodiment of the invention as described above.
By adopting the technical scheme, the elements required to be read in the scanning process can be read in parallel in the same period by different storage modules, the defect of sequential reading is overcome, and the scanning speed is increased.
Drawings
Fig. 1 is a diagram illustrating a conventional storage module for pixel elements.
Fig. 2 is a schematic diagram of a one-dimensional pixel array in an image according to an embodiment of the invention.
Fig. 3 shows the vertical adjacency between the one-dimensional pixel arrays in this embodiment.
Fig. 4 shows a horizontal adjacency between one-dimensional pixel arrays in this embodiment.
Fig. 5 is a schematic diagram of the memory module in this embodiment.
Fig. 6 is a schematic diagram of the storage of pixel elements into the memory module in this embodiment.
Fig. 7 is a schematic diagram illustrating the reading of pixel elements from the memory module in this embodiment.
Fig. 8 is another schematic diagram of the storage of pixel elements into the memory module in this embodiment.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
the embodiment of the invention provides a data storage method based on motion estimation, which comprises the following steps: the image is divided into a plurality of one-dimensional pixel arrays, elements in each one-dimensional pixel array are stored in different storage modules in sequence, and a plurality of adjacent elements in the same row or column in the image are stored in different storage modules respectively.
In this embodiment, the image is a two-dimensional pixel array of m × n (m horizontal pixels and n vertical pixels), and the method is mainly divided into three processes: data preprocessing process, distributed storage process and processing process.
During data pre-processing, the image is divided into a fixed number of one-dimensional pixel arrays of p × 1(p horizontal pixels and 1 vertical pixel), as shown in fig. 2, 3 and 4;
in the distributed storage process, each one-dimensional pixel array is stored into the distributed storage module according to a certain sequence, as shown in fig. 5, the storage of the one-dimensional pixel arrays is in a sequential relationship, that is, the one-dimensional pixel array stored previously is adjacent to the one-dimensional pixel array to be stored currently, that is, the one-dimensional pixel array is stored in an S-shaped sequence, if the one-dimensional pixel array stored previously is aligned with the lower horizontal boundary of the m × n two-dimensional pixel array, the one-dimensional pixel array stored currently must be aligned with the right edges of all the one-dimensional pixel arrays on the same column of the one-dimensional pixel array stored previously;
in the processing process, the memory address of each pixel element in the one-dimensional pixel array is further calculated, and the pixel elements are stored in the corresponding memory addresses.
The specific process is as follows:
s1: setting p storage modules for storing image data, and numbering the storage modules in sequence;
s2: calculating the number of elements contained in each row or column in the image, judging whether the number of the elements contained in each row or column is an integral multiple of p, if not, complementing the number of the elements contained in the rows or columns of the elements to be the integral multiple of p, and then entering S3, otherwise, directly entering S3;
s3: dividing an image into a plurality of one-dimensional pixel arrays;
s4: storing all elements in all the one-dimensional pixel arrays into p storage modules, wherein the specific process is as follows: storing the ith element in the one-dimensional pixel array of the nth row or column into the s-th storage module, wherein: s ═ i% p, where% denotes the remainder.
The meaning of the complement being an integer multiple of p is: pixel elements in rows or columns in the image which are less than an integral multiple of p are fixedly set to be "0" or "1", that is, if p is 4, and the image has only 11 columns, the 12 th column is filled with "0" or "1" in its entirety.
In this embodiment, it is set that all pixel elements in the one-dimensional pixel array are stored in different storage modules, and the serial numbers of the pixel elements in the one-dimensional pixel arrays of different rows stored in the storage modules are different, as shown in fig. 6, the pixel elements (0,0), (0,1) and (0,2) are stored in the addresses 0 of the RAM-1, the RAM-2 and the RAM-3, respectively. In the pixel elements of the second row, the pixel elements (1,0) are not stored in the RAM-1 as before, but are stored in the RAM-2; similarly, the pixel elements (1,1) are stored in the RAM-3; the pixel elements (1,3) are stored in the RAM-1.
When different one-dimensional pixel arrays are needed, they can all be read out in parallel from RAM-1, RAM-2 and RAM-3, as shown in FIG. 7.
As shown in fig. 8, a window of 3 × 3 size will read 3 pixel elements from three different storage modules each time it is moved one pixel distance to the left or right. Taking the window in the upper left corner as an example, when the window is moved to the right by a distance of one pixel element, pixels (0,3), (1,3), and (2, 3) need to be read. At this time, as shown in fig. 4, the pixels (0,3), (1,3) and (2, 3) are stored in the RAM-1, the RAM-2 and the RAM-3, respectively, which avoids sequentially reading a plurality of pixels from the same memory module. As can be seen from observing the physical layout of the data in the memory module in fig. 8, three consecutive pixels in any horizontal or vertical direction in the logical layout are stored in a completely different memory in the physical layout. Therefore, by the method in the embodiment, the situation that a plurality of pixel points are sequentially read from the same memory in the process of moving the window by the motion estimation algorithm based on the raster scanning strategy can be eliminated, and the reading efficiency is accelerated.
It should be noted that the application scenario in this embodiment is in continuous raster scanning, i.e. the motion estimation window must be able to scan: (a) left-to-right horizontal scanning, (b) right-to-left horizontal scanning, (c) top-to-bottom vertical scanning, and (d) bottom-to-top vertical scanning to complete the "bow" scan, may also be applied in conventional raster scanning or other continuous scanning approaches.
In order to satisfy the continuous raster scanning mode, in this embodiment, the one-dimensional pixel array is preferably arranged to be stored in the storage module from top to bottom and from left to right.
The specific way to implement the above method in this embodiment is to use a shifter, and periodically shift the pixel elements in the one-dimensional pixel array by the shifter before storing the pixel elements in the storage module.
The specific process is as follows:
assuming that a one-dimensional pixel array [ P (X1, Y1), P (X2, Y2),.. P (Xn, Yn) ] should be written into a distributed storage module [ RAM-1, RAM-2.. and RAM-n ], where X1 ═ X2.. Xn, the one-dimensional pixel array needs to be first circularly shifted, and the shift _ amount is calculated as:
shift _ amount ═ (X1 modulo distributed memory quantity p)
The one-dimensional pixel array is then shifted using cyclic shifting:
[P(X1,Y1),P(X2,Y2),...P(Xn,Yn)]<<shift_amount|[P(X1,Y1),P(X2,Y2),...P(Xn,Yn)]>>(p-shift_amount)
or:
[P(X1,Y1),P(X2,Y2),...P(Xn,Yn)]>>shift_amount|[P(X1,Y1),P(X2,Y2),...P(Xn,Yn)]<<(p-shift_amount)
example two:
the second embodiment of the present invention further provides a data storage terminal device based on motion estimation, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps in the above-mentioned method embodiment of the first embodiment of the present invention.
The memory at least comprises p memory modules for storing image data, each memory module at least comprises a write data port, a write address port, a read data port and a read address port, as shown in fig. 5, preferably, the width of the write data port is equal to the bit width of single pixel data in the image data, and the width of the read data port is equal to the bit width of the single pixel data in the image data.
Further, as an executable solution, the data storage terminal device based on motion estimation may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The motion estimation based data storage terminal device may include, but is not limited to, a processor, a memory. It will be understood by those skilled in the art that the above-mentioned structure of the data storage terminal device based on motion estimation is only an example of the data storage terminal device based on motion estimation, and does not constitute a limitation of the data storage terminal device based on motion estimation, and may include more or less components than the above, or combine some components, or different components, for example, the data storage terminal device based on motion estimation may further include an input-output device, a network access device, a bus, etc., which is not limited in this embodiment of the present invention.
Further, as an executable solution, the processor may be a Central Processing Unit (CPU), other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor is a control center of the motion estimation based data storage terminal device, and various interfaces and lines are used to connect various parts of the whole motion estimation based data storage terminal device.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the motion estimation based data storage terminal device by running or executing the computer programs and/or modules stored in the memory and calling the data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The motion estimation based data storage terminal device integrated module/unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM ), Random Access Memory (RAM), software distribution medium, and the like.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A method for storing data based on motion estimation, comprising: dividing an image into a plurality of one-dimensional pixel arrays, storing each element in each one-dimensional pixel array into different storage modules in sequence, and respectively storing a plurality of adjacent elements in the same row or column in the image into different storage modules, specifically: storing the ith element in the one-dimensional pixel array of the nth row or column into the s-th storage module, wherein: and s is i% p, wherein% represents the remainder, and p represents the number of the storage modules.
2. The method of claim 1, wherein: the method specifically comprises the following steps:
s1: setting p storage modules for storing image data, and numbering the storage modules in sequence;
s2: calculating the number of elements contained in each row or column in the image, judging whether the number of the elements contained in each row or column is an integral multiple of p, if not, complementing the number of the elements contained in the rows or columns of the elements to be the integral multiple of p, and then entering S3, otherwise, directly entering S3;
s3: dividing an image into a plurality of one-dimensional pixel arrays;
s4: and storing all elements in all the one-dimensional pixel arrays into p storage modules.
3. The method of claim 2, wherein: the one-dimensional pixel array is stored in the storage module from top to bottom and from left to right.
4. A data storage terminal device based on motion estimation, characterized by: comprising a processor, a memory and a computer program stored in and run on said memory, said processor implementing the steps of the method according to any one of claims 1 to 3 when executing said computer program, said memory comprising at least p memory modules.
5. The terminal device of claim 4, wherein: the memory modules each comprise at least one write data port, one write address port, one read data port and one read address port.
6. The terminal device of claim 5, wherein: the width of the write data port is equal to the bit width of a single pixel data in the image data.
7. The terminal device of claim 5, wherein: the width of the read data port is equal to the bit width of a single pixel data in the image data.
8. The terminal device of claim 5, wherein: the width of the write data port is equal to the width of the read data port, and both are equal to the bit width of a single pixel data in the image data.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910382988.5A CN110087088B (en) | 2019-05-09 | 2019-05-09 | Data storage method based on motion estimation, terminal equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910382988.5A CN110087088B (en) | 2019-05-09 | 2019-05-09 | Data storage method based on motion estimation, terminal equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110087088A CN110087088A (en) | 2019-08-02 |
| CN110087088B true CN110087088B (en) | 2020-10-16 |
Family
ID=67419249
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910382988.5A Active CN110087088B (en) | 2019-05-09 | 2019-05-09 | Data storage method based on motion estimation, terminal equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110087088B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112565652B (en) * | 2020-11-25 | 2023-03-24 | 紫光展锐(重庆)科技有限公司 | Image data storage method, storage device and computer readable storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108713315A (en) * | 2016-03-16 | 2018-10-26 | 株式会社理光 | Electrooptical device, image read-out and image forming apparatus |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7529423B2 (en) * | 2004-03-26 | 2009-05-05 | Intel Corporation | SIMD four-pixel average instruction for imaging and video applications |
| US20080094406A1 (en) * | 2004-08-11 | 2008-04-24 | Koninklijke Philips Electronics, N.V. | Stripe-Based Image Data Storage |
| US7876477B2 (en) * | 2006-06-28 | 2011-01-25 | Panasonic Corporation | Image reading method and image expansion method |
| KR100817057B1 (en) * | 2006-08-30 | 2008-03-26 | 삼성전자주식회사 | Mapping method and video system for mapping pixel data included same pixel data group to same bank address of memory |
| CN101620524B (en) * | 2009-07-03 | 2011-08-10 | 中国人民解放军国防科学技术大学 | Matrix register file for supporting whole reading and writing operations of matrix |
| TW201235974A (en) * | 2011-02-25 | 2012-09-01 | Altek Corp | Image processing apparatus and memory accessing method thereof |
| CN107566763B (en) * | 2017-02-16 | 2020-03-31 | 思特威(上海)电子科技有限公司 | Large-size image sensor and image correction method thereof |
-
2019
- 2019-05-09 CN CN201910382988.5A patent/CN110087088B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108713315A (en) * | 2016-03-16 | 2018-10-26 | 株式会社理光 | Electrooptical device, image read-out and image forming apparatus |
Non-Patent Citations (1)
| Title |
|---|
| 基于SDRAM的实时视频传输系统存储管理;刘维亚;《电子设计》;20090115;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110087088A (en) | 2019-08-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10586149B2 (en) | Convolutional neural network based image data processing apparatus, method for controlling the same, and storage medium storing program | |
| CN112991142B (en) | Matrix operation method, device, equipment and storage medium for image data | |
| KR100503094B1 (en) | DSP having wide memory bandwidth and DSP memory mapping method | |
| US10929965B2 (en) | Histogram statistics circuit and multimedia processing system | |
| CN108537729B (en) | Image stepless zooming method, computer device and computer readable storage medium | |
| CN108346131A (en) | A kind of digital image scaling method, device and display equipment | |
| US20230267571A1 (en) | Data loading method and apparatus for convolution operation | |
| CN110087088B (en) | Data storage method based on motion estimation, terminal equipment and storage medium | |
| CN115035128A (en) | Image overlapping sliding window segmentation method and system based on FPGA | |
| CN111553847B (en) | Image processing method and device | |
| US11775809B2 (en) | Image processing apparatus, imaging apparatus, image processing method, non-transitory computer-readable storage medium | |
| CN104618717A (en) | Line and block integrating and converting method and computer readable memory medium thereof | |
| US6317817B1 (en) | Image operation processing apparatus storing discrete data efficiently in a memory and operating method thereof | |
| KR102606207B1 (en) | Tiling algorithm for matrix math instruction set | |
| EP2924649A1 (en) | Method and an apparatus for generating an approximate nearest neighbor field (annf) for images and video sequences | |
| US10789072B2 (en) | Parallel processor for calculating operand and result addresses as a function of a position of a field of action and predetermined positions of processing elements in non-homogeneous address zones within a topology | |
| US20190206019A1 (en) | Graphics processing device and graphics processing method | |
| US11995890B2 (en) | Method and apparatus for tensor processing | |
| US20210294852A1 (en) | Method and apparatus for tensor processing | |
| JP3553376B2 (en) | Parallel image processor | |
| Ito et al. | Optimized component labeling algorithm for using in medium sized FPGAs | |
| US9330438B1 (en) | High performance warp correction in two-dimensional images | |
| CN109948392B (en) | Two-dimensional code boundary detection method, two-dimensional code boundary segmentation method, storage medium, and electronic device | |
| CN110072032B (en) | Image processing apparatus | |
| CN117710188A (en) | Method, equipment and integrated circuit for realizing hardware circuit for image processing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |