CN108289210A - Landscape images processor and image processing method, storage medium - Google Patents

Landscape images processor and image processing method, storage medium Download PDF

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Publication number
CN108289210A
CN108289210A CN201810121224.6A CN201810121224A CN108289210A CN 108289210 A CN108289210 A CN 108289210A CN 201810121224 A CN201810121224 A CN 201810121224A CN 108289210 A CN108289210 A CN 108289210A
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China
Prior art keywords
image data
row
raw image
data
frame
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Chinese (zh)
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汪际军
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Quanpu Semiconductor Technology (Shenzhen) Co., Ltd.
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Qualper Optoelectronics Technology (shanghai) Co Ltd
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Priority to CN201810121224.6A priority Critical patent/CN108289210A/en
Publication of CN108289210A publication Critical patent/CN108289210A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/12Picture reproducers
    • H04N9/31Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3179Video signal processing therefor
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/12Picture reproducers
    • H04N9/31Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3179Video signal processing therefor
    • H04N9/3188Scale or resolution adjustment

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Television Systems (AREA)

Abstract

The present invention provides a kind of landscape images processor and image processing method, storage mediums, by receiving k-th frame raw image data;Interpolation calculation is carried out to k-th frame raw image data, obtains the Y row interpolated datas row of k-th frame raw image data, and k-th frame raw image data and all interpolated datas row are saved as into k-th frame new image data;Meanwhile K being made to be incremented by 1, and execute an above-mentioned steps;Then, k-th frame new image data is read;Meanwhile K being made to be incremented by 1, execute an above-mentioned steps;K is the positive integer from 1 to M, and M is the totalframes of image data, and present invention optimizes image processing process, while the pixel of raw image data laterally increases, image processing efficiency is improved, reduces power consumption, and the brightness of image of final output and image area greatly increase.

Description

Landscape images processor and image processing method, storage medium
Technical field
The present invention relates to projection arts, and in particular to a kind of landscape images processor and landscape images processing method, And a kind of computer readable storage medium.
Background technology
With the development of science and technology, projection arrangement increasingly minimizes and portability, therefore, laser projection device meet the tendency of and It is raw, since the small and brightness of laser projection device is high, thus receives significant attention and have been put into and commercially produce.So And even if the laser brightness of laser projection device is high, under white light or the stronger region of light, what laser projection device was projected out Unclear problem is presented in picture in contrast, this also brings huge challenge to the light intensity of projection arrangement and clarity.
How the semiconductor laser that existing laser light source uses improves under the premise of volume does not increase or reduces How the brightness of laser projection device and clarity can still see more clearly picture especially under white light, be industry The problem generally studied.
In addition, it usually needs move existing projection arrangement to adjust at a distance from projection arrangement and projection interface to obtain Larger picture, however, in the state that above-mentioned projection arrangement increases with projection interface, the brightness of projected image can decrease And clarity can also decline therewith.
Furthermore in traditional technology, the image resolution ratio using single laser scans is low, along with MEMS micromirror fast axle frequency Rate is restricted so that fast axle scanning track spacing is larger in slow axis a cycle, affects longitudinal resolution, also, single The brightness of a laser projection imaging is low.For drawbacks described above, generally use increases the quantity of laser to improve the bright of image Degree and pixel.
However, since laser can lose big energy in imaging, bigger the lost energy of quantity of laser is just It is more, increase number of lasers by simple, ideal brightness and clarity can not be reached, instead so that laser projection device Heat aggregation degree it is larger, lead to serious heat dissipation problem, improve danger coefficient.
Invention content
In order to overcome problem above, the present invention is intended to provide a kind of image processor and image processing method, pass through raising Logical process efficiency reduces energy loss, and solve heat dissipation problem to improve brightness of image and resolution ratio.
In order to achieve the above object, the present invention provides a kind of image processing methods, are arranged by Y per frame raw image data Raw image data forms, and Y is positive integer;It includes:
Step 01:Receive k-th frame raw image data;
Step 02:Interpolation calculation is carried out to k-th frame raw image data, obtains the Y row interpolation of k-th frame raw image data Data arrange, and k-th frame raw image data and all interpolated datas row are saved as k-th frame new image data;Meanwhile making K It is incremented by 1, and executes a step 01;
Step 03:Then, k-th frame new image data is read;Meanwhile K being made to be incremented by 1, execute a step 02;K be from 1 to The positive integer of M, M are the totalframes of image data.
In one embodiment, it is made of N row raw image datas per frame raw image data, N is positive integer;The step In rapid 01, receives k-th frame raw image data and specifically include:
Step 011:Start the i-th row raw image data of reception k-th frame raw image data;
Step 012:Detect whether to receive all pixels point of the i-th row raw image data;If so, thening follow the steps 013;If not, thening follow the steps 011;
Step 013:I-th row raw image data of k-th frame raw image data is preserved;
Step 014:Then, so that i is incremented by 1, execute step 011~013, until completing N row k-th frame raw image datas It preserves, to all preserve k-th frame raw image data;The positive integer of i=1 to N.
In one embodiment, the step 02 specifically includes:
Step 021:Read the jth row raw image data of k-th frame raw image data;J is 1 positive integer for arriving N;
Step 022:Image interpolation calculating is carried out to the jth row raw image data of k-th frame raw image data, in jth It is inserted into interpolated data between adjacent raw image data in row, obtains the interpolated data row of jth row raw image data;Its In, jth row raw image data and its interpolated data row constitute jth row and update the data row;
Step 023:Judge whether the calculating of the interpolated data row of jth row raw image data is completed;If it is, executing Step 024;If not, thening follow the steps 022;
Step 024:Preserve the jth row raw image data of k-th frame raw image data;
Step 025:Judge whether to finish the jth row raw image data preservation of k-th frame raw image data;If It is to then follow the steps 026;If not, thening follow the steps 024;
Step 026:Preserve the interpolated data row of jth row raw image data;
Step 027:Judge whether to preserve the interpolated data row of jth row raw image data and finish;If it is, executing Step 028;If not, thening follow the steps 026;
Step 028:So that j is incremented by 1, repeats step 021~027.
In one embodiment, the step 022 specifically includes:
Step 022a:To i-th of raw image data in the jth row raw image data of k-th frame raw image data Image interpolation calculating is carried out with i+1 raw image data, interpolation is inserted between adjacent raw image data in jth row Data obtain the interpolated data row of jth row raw image data;I is the positive integer since 1, and the maximum value of i+1 is Y;
Step 022b:Repetitive cycling step 022a, and so that i is incremented by 1 per circulation primary, to obtain k-th frame original image The interpolated data of the jth row raw image data of data arranges.
In one embodiment, further include in the step 022a:It is inserted when the Y-1 for obtaining jth row raw image data is arranged After being worth image data, Y row interpolated datas row are established, the data that Y row interpolated datas arrange is made to be equal to Y row original image numbers According to, to complete the interpolation calculation to jth row raw image data, obtained jth row, which updates the data row, 2Y row, including Y row interpolated datas arrange.
In one embodiment, further include between the step 02 and step 03:Judge whether to have preserved k-th frame original image Whole Y row interpolated datas of data arrange;If so, 03 is thened follow the steps, if not, thening follow the steps 028.
In one embodiment, it in the step 03, reads k-th frame new image data and specifically includes:It is new to be carried out at the same time k-th frame The reading of the preceding Y row new image data and rear Y row new image data of all rows of image data, and it is saved in different images storage Region.
In one embodiment, further include before step 01:To image data Detection of Stability.
In one embodiment, image data Detection of Stability is specifically included:
Step 001:Wait for image source transmission data during, real-time detection image source whether transmission data;If so, Then follow the steps 002;
Step 002:Start to receive image data;
Step 003:It detects whether to receive two field pictures data, to judge whether to capture stable image source;If it is, Execute step 01;If not, thening follow the steps 001.
In order to achieve the above object, the present invention also provides a kind of image processors, including:Image receiving element, transverse direction Computing element, the first image memory element, digital independent element;
Image receiving element is mutually electrically connected with lateral calculations element, and image receiving element receives k-th frame raw image data; Wherein, it is made of Y row raw image datas per frame raw image data, Y is positive integer;
Lateral calculations element is mutually electrically connected with image receiving element, image memory element, and lateral calculations element is to k-th frame original Beginning image data carries out interpolation calculation, obtains the Y row interpolated datas row of k-th frame raw image data;Lateral calculations element into While row interpolation calculates, image receiving element, which starts to execute, receives next frame raw image data;
First image memory element is mutually electrically connected with lateral calculations element, digital independent element, and the first image memory element will K-th frame raw image data and all interpolated datas row preserve, to form k-th frame new image data;In the first image While memory element preserves k-th frame new graph data, lateral calculations element starts to execute next step interpolation calculation;
Digital independent element is mutually electrically connected with the first image memory element, and digital independent element reads k-th frame new images number According to;Wherein, K is the positive integer from 1 to M, and M is the totalframes of image data.
In one embodiment, further include image source element, the first detecting element and the second image memory element;It is original per frame Image data is made of N row raw image datas, and N is positive integer;Image source element sends k-th frame original to image receiving element The first row raw image data of beginning image data;The first row that image receiving element receives k-th frame raw image data is original Image data, and be stored in the second image memory element;First detecting element detects whether to receive the first row original image The all pixels point of data;If it is not, then sending a signal to image receiving element, image receiving element continues to;In repetition Process is stated, until completing the reception of whole N rows raw image datas of k-th frame raw image data.
In one embodiment, it is made of N row raw image datas per frame raw image data;Described image processor is also Including control element;Wherein,
Lateral calculations element lateral calculations element reads the jth row raw image data of k-th frame raw image data;J is 1 To the positive integer of N;
Lateral calculations element carries out image interpolation calculating to the jth row raw image data of k-th frame raw image data, Interpolated data row are inserted into jth row between adjacent raw image data;
Control element come judge the interpolated data in jth row raw image data row calculating whether complete;If it is, First image memory element preserves the jth row raw image data of k-th frame raw image data;If it is not, then control element is sent out The number of delivering letters continues the calculating of the interpolated data of jth row raw image data to lateral calculations element;
Control element further determines whether to finish the jth row raw image data preservation of k-th frame raw image data;If It is then to send determining signal to control the interpolated data row that the first image memory element preserves jth row to the first image memory element; If it is not, then continuing the jth row raw image data of preservation k-th frame raw image data;
Then, control element is further determined whether to preserve the interpolated data row of jth row raw image data and be finished;If It is the calculating for then continuing next line k-th frame image interpolation data;If it is not, then control element controls the storage of the first image Element continues to preserve the interpolated data row of jth row raw image data.
In one embodiment, the lateral calculations element to the jth row raw image data of k-th frame raw image data into Row image interpolation calculates, and being inserted into interpolated data row between adjacent raw image data in jth row specifically includes:The transverse direction Computing element is to i-th of the raw image data and i+1 in the jth row raw image data of k-th frame raw image data Raw image data carries out image interpolation calculating, is inserted between i-th of raw image data and i+1 raw image data I-th row interpolated image data, i are the positive integer since 1, and the maximum value of i+1 is Y;This process of repetitive cycling, per circulation primary So that i is incremented by 1, is arranged to obtain the interpolated data of jth row raw image data of k-th frame raw image data.
In one embodiment, after obtaining Y-1 interpolated image data of jth row raw image data, the transverse direction Computing element also sets up Y row interpolated datas row, and the data that Y row interpolated datas arrange is made to be equal to Y row raw image datas, from And complete, to the interpolation calculation of jth row raw image data, to obtain 2Y row new image datas, it is arranged including Y row interpolated datas.
In one embodiment, the control element further determines whether that the jth row for having preserved k-th frame raw image data is original Whole interpolated datas of image data arrange;Start to read data if it is, controlling the digital independent element.
In one embodiment, digital independent element reads k-th frame new image data and specifically includes:It is new to be carried out at the same time k-th frame The reading of the preceding Y row new image data of image data and the reading of rear Y row new image data, and it is saved in different images memory block Domain.
In one embodiment, further include the second detecting element, the second detecting element is detected image data stability.
In one embodiment, the second detecting element is detected image data stability and specifically includes:Waiting for a figure During image source transmission data, detect in real time described image source whether transmission data;It is connect if it is, sending a signal to image Element is received, image receiving element is made to start to receive image data;Then the second detecting element detects whether to receive continuous two frame Image data if it is, illustrating to capture stable image source, and sends a signal to lateral calculations element, keeps lateral calculations first Part starts to carry out interpolation calculation to the k-th frame raw image data that image receiving element receives.
In order to achieve the above object, the present invention also provides a kind of computer readable storage mediums, described computer-readable Storage medium is stored with computer instruction, and the computer instruction realizes the step of above-mentioned image processing method when being executed by processor Suddenly.
By designing, raw image data reading, interpolation calculation, new image data preserves the present invention, new image data is read Matching relationship between each step, optimizes image processing process, so that the pixel of raw image data in the horizontal While multiplication, image processing efficiency is improved, reduces device power consumption, and the brightness of image of final output also greatly increases Add.
Description of the drawings
Fig. 1 is the flow diagram of the image processing method of the preferred embodiment of the present invention
Fig. 2 is the flow diagram of step 01 in Fig. 1
Fig. 3 is the flow diagram of step 02 in Fig. 2
Fig. 4 is the block diagram of the image processor of the preferred embodiment of the present invention
Specific implementation mode
To keep present disclosure more clear and easy to understand, below in conjunction with Figure of description, present disclosure is made into one Walk explanation.Certainly the invention is not limited to the specific embodiment, the general replacement known to those skilled in the art Cover within the scope of the present invention.
Below in conjunction with attached drawing 1~4 and specific embodiment, invention is further described in detail.It should be noted that attached drawing Be all made of very simplified form, using non-accurate ratio, and only to it is convenient, clearly reach aid illustration the present embodiment Purpose.
Referring to Fig. 1, in the present invention, it is made of N rows and Y row image datas per frame image data, N, Y are positive integer; Here, in the present embodiment, if N is 720 rows, Y is 1280 row, and the pixel that often row has is 1280 row;Then when per frame image Data have N rows when, can with and so on, have similar process, thus to N take any numerical value the present invention protection model Within enclosing.
A kind of image processing method in the present embodiment specifically includes:
Step 01:Receive k-th frame raw image data;Here, K is the positive integer since 1.
Specifically, when before the calculating for carrying out raw image data, the stability of raw image data can be first judged, Then start formally to receive target original image.It should be noted that k-th frame raw image data mentioned here is to detect The raw image data received after image data stability.
Image data Detection of Stability can specifically include before step 01:
Step 001:Wait for image source transmission data during, real-time detection image source whether transmission data;If so, Then follow the steps 002;If it is not, then continue real-time detection image source whether transmission data.
Step 002:Start to receive image data.
Step 003:The frame image data for detecting whether frame number set by receiving, to judge whether to capture stable image Source;If so, thening follow the steps 01;If not, thening follow the steps 001.Here, set frame number is two frames, by obtaining two Frame image data judges whether to obtain stable image data.Then the frame number of detection can be set in advance, be not limited to two Frame image data judges stability.
Start formal receive process after determination obtains stable image data by above-mentioned detection.
Start formal reception k-th frame raw image data, referring to Fig. 2, specifically including:
Step 011:Start the i-th row raw image data of reception k-th frame raw image data;Here, start to receive K The first row raw image data of frame raw image data;
Step 012:Detect whether to receive all pixels point of the i-th row raw image data;Here, it detects whether to receive The all pixels point of a line raw image data;If so, thening follow the steps 013;If not, thening follow the steps 011;Here, The number of all pixels point of the first row raw image data is 1280.
Step 013:I-th row raw image data of k-th frame raw image data is preserved;Here, by k-th frame original The first row raw image data of beginning image data preserves;
Step 014:Then, so that i is incremented by 1, execute step 011~013, until completing N row k-th frame raw image datas It preserves, to all preserve k-th frame raw image data;The positive integer of i=1 to N.Specifically, repetition step 011~ 013, and so on, it carries out the second row k-th frame raw image data and preserves to the preservation of Nth row k-th frame raw image data, from And complete k-th frame raw image data is all preserved.
Next interpolation calculation is proceeded by.
Step 02:Interpolation calculation is carried out to k-th frame raw image data, obtains the Y row interpolation of k-th frame raw image data Data arrange, and k-th frame raw image data and all interpolated datas row are saved as k-th frame new image data;Meanwhile making K It is incremented by 1, and executes a step 01;
Specifically, in the present embodiment, since every frame raw image data is that 720 rows and 1280 arrange, by interpolation meter It calculates, all obtains the row image interpolation data of 720 rows × 1280 per frame raw image data, the row image interpolation number of this 720 row × 1280 According to every a line and same a line of each behavior of raw image data, each row difference data is every with raw image data The alternate setting of one row, arranges so that the finally obtained columns per frame new image data doubles for 2560, in transverse direction Pixel value doubles.
Referring to Fig. 3, this step 02 can specifically include following steps:
Step 021:Read the jth row raw image data of k-th frame raw image data;J is 1 positive integer for arriving N;
Step 022:Image interpolation calculating is carried out to the jth row raw image data of k-th frame raw image data, in jth It is inserted into interpolated data between adjacent raw image data in row, obtains the interpolated data row of jth row raw image data;Its In, jth row raw image data and its interpolated data row constitute jth row and update the data row;
Specifically, the interpolated data of jth row raw image data and jth row raw image data are located at in a line and phase Between be arranged;The columns of the interpolated data row of jth row raw image data is Y;This step 022 is further comprising the steps of:
Step 022a:To i-th of raw image data in the jth row raw image data of k-th frame raw image data Image interpolation calculating, i-th of original image number in jth row raw image data are carried out with i+1 raw image data According to being inserted into the i-th row interpolated image data between i+1 raw image data;I is the positive integer since 1, the maximum of i+1 Value is Y.
In addition, further including in this step 022a:When obtaining the Y-1 row interpolated image datas of jth row raw image data Afterwards, Y row interpolated datas row are established, so that the data that Y row interpolated datas arrange is equal to Y row raw image datas, to complete It to the interpolation calculation of jth row raw image data, obtains jth row and updates the data row, there is 2Y row new image datas, including Y row interpolated datas arrange.The columns of the interpolated data of the often row raw image data obtained in this way and often row raw image data Columns is identical, is Y row.
Furthermore, it is necessary to illustrate, for Y row interpolated datas row are established in step 022a in the present embodiment, in this hair In bright other embodiments, can also include between step 02 and step 03:Y row raw image datas are deleted, to obtain (2*Y- 1) row new image data.It should be noted that since the line number for exporting image data in practice is very more, the deletion of 1 row data Influence to entire image can be ignored substantially.It should be noted that Y row described in the present invention are also arranged comprising Y-1 certainly, institute The 2Y row said also include that 2Y-1 is arranged certainly, this is because the number of Y is very big, Y is typically larger than 100, Y-1 and is similar to Y, and 2Y-1 is close It is similar to 2Y.
It should also be noted that, as N=1 and Y=1, directly this raw image data can be carried out on line direction Duplication and column direction on duplication be not particularly suited for practical application even if as N=1 and Y=1.
Step 022b:Repetitive cycling step 022a, and so that i is incremented by 1 per circulation primary, to obtain k-th frame original image The interpolated data of the jth row raw image data of data arranges.Wherein, jth row raw image data and its interpolated data row are constituted Jth row updates the data row.Image pixel is increased one times in this way.
Followed by subsequent calculating process.
Step 023:Judge whether the calculating of the interpolated data row of jth row raw image data is completed;If it is, executing Step 024;If not, thening follow the steps 022;
Step 024:Preserve the jth row raw image data of k-th frame raw image data;
Step 025:Judge whether to finish the jth row raw image data preservation of k-th frame raw image data;If It is to then follow the steps 026;If not, thening follow the steps 024;
Step 026:Preserve the interpolated data row of jth row raw image data;
Step 027:Judge whether to preserve the interpolated data row of jth row raw image data and finish;If it is, executing Step 028;If not, thening follow the steps 026;
Step 028:So that j is incremented by 1, repeat step 021~027, to obtain N row Y row interpolated datas row;And by N rows K-th frame raw image data and its interpolated data row preserve and constitute k-th frame new image data.
In addition, in this step 02, the new image data of different frame is saved in different zones, in the present embodiment, rear In first image memory element of the continuous image processor that will be introduced, it includes first area and second that two regions, which can be arranged, K-th frame new image data is stored in first area DDR1 by region when K is odd number, and when K is even number, k-th frame is newly schemed As data are stored in second area DDR2, first area and second area are not overlapped, to further cooperation interpolation calculation process, Reading process improves the storage logical process efficiency to new image data, reduces power consumption.
In the present embodiment, can also include between step 028 and step 03:Judge whether to have preserved k-th frame original graph As whole Y row interpolated datas of data arrange;If so, thening follow the steps 03;If not, thening follow the steps 028.
Step 03:Then, k-th frame new image data is read;Meanwhile K being made to be incremented by 1, execute step 02;K is from 1 to M's Positive integer, M are the totalframes of image data.
It is specifically included specifically, reading k-th frame new image data:It is carried out at the same time all rows of k-th frame new image data The reading of preceding Y row new image data and rear Y row new image data, and it is saved in different images storage region.Here it is possible to The preceding Y row new image data and rear Y row new image data of 1st row of K frame new image datas are carried out at the same time reading, and reading finishes Afterwards, then to the preceding Y row new image data of the 2nd row and rear Y row new image data it is carried out at the same time reading, and so on, it completes to K The reading of all rows of frame new image data.
Below referring to Fig. 4, the present embodiment additionally provides a kind of image processor, it can be used for executing above-mentioned image procossing Method is made of per frame image data N rows and Y row image datas.Specifically, a kind of image processor packet of the present embodiment It includes:Image receiving element, lateral calculations element, the first image memory element, digital independent element, may include additionally image Source element, the first detecting element, the second detecting element and the second image memory element and control element.
In the present embodiment, before carrying out image calculating, the stability of image data is detected, uses one the here Two detecting elements are detected image data stability, specifically include:It is real during waiting for an image source transmission data When detect the image source whether transmission data;If it is, sending a signal to image receiving element, image receiving element is made to start Receive image data;Then the second detecting element detects whether to receive continuous two field pictures data, if it is, illustrating to capture Stablize image source, and send a signal to lateral calculations element, lateral calculations element is made to start to receive image receiving element K-th frame raw image data carries out interpolation calculation.Here, as described in k-th frame raw image data description in above-mentioned image It is described in processing method, which is not described herein again.
Image receiving element is mutually electrically connected with lateral calculations element, for receiving k-th frame raw image data, here it is possible to K-th frame raw image data is received under the signal control of lateral calculations element.Here every frame raw image data is by N rows Y row raw image datas form, and Y is positive integer.
Second image memory element is used for storing the raw image data of image receiving element reception;Here, image source member Part sends the first row raw image data of k-th frame raw image data to image receiving element;Image receiving element receives K The first row raw image data of frame raw image data, and be stored in the second image memory element;First detecting element Detect whether to receive all pixels point of the first row raw image data;If it is not, then sending a signal to image receiving element, scheme As receiving element continues to;It repeats the above process, until completing whole N rows original image numbers of k-th frame raw image data According to reception.
Lateral calculations element is mutually electrically connected with image receiving element, image memory element, and lateral calculations element is to k-th frame original Beginning image data carries out interpolation calculation, obtains the Y row interpolated datas row of k-th frame raw image data;Lateral calculations element into While row interpolation calculates, image receiving element, which starts to execute, receives next frame raw image data, that is, K is enabled to increase by 1;This When, lateral calculations element when starting interpolation calculation, while can also to image receiving element send signal by way of come Control the reception that image receiving element carries out next frame raw image data.Here, in k-th frame raw image data, each column Interpolated data row with the alternate setting in the horizontal direction of each column raw image data, per row interpolation data with often row original graph As data are in same a line.Since every frame raw image data is that 720 rows and 1280 arrange, it is original per frame by interpolation calculation Image data all obtains the row image interpolation data of 720 rows × 1280 so that the finally obtained columns per frame new image data increases It doubles and is arranged for 2560, the pixel value in horizontal direction doubles.
First image memory element is mutually electrically connected with lateral calculations element, digital independent element, and the first image memory element will K-th frame raw image data and all interpolated datas row preserve, to form k-th frame new image data;In the first image While memory element preserves k-th frame new graph data, lateral calculations element starts to execute next step interpolation calculation, here under One step interpolation calculation can be the calculating of next line interpolated data, such as the interpolation number of above-mentioned alleged jth row raw image data According to calculating, be specifically referred to the description of above-mentioned steps 02, which is not described herein again.In addition, the first image memory element is being protected While depositing k-th frame new image data, lateral calculations element can be sent a signal to and start to execute to control lateral calculations element Next step interpolation calculation:Specifically, for example, the first image memory element while preserving k-th frame new image data, the first figure Lateral calculations element is sent a signal to after so that j is incremented by 1 as memory element, lateral calculations element starts to execute next step interpolation meter It calculates, next step interpolation calculation here can refer to that lateral calculations element starts to execute the calculating to next line interpolated data.
Here, the first image memory element has first area and second area, while the first image memory element also has There is judgment component.Judgment component judges K for odd number or even number, and when K is odd number, k-th frame new image data is stored in first K-th frame new image data is stored in second area, first area and second area are not overlapped by region when K is even number.The The memory of DDR types may be used in one image memory element.
Here, about the interpolation calculation of lateral calculations element and the first image memory element, digital independent element it is specific Matching relationship can be as follows:
Lateral calculations element reads the jth row k-th frame raw image data of k-th frame raw image data;J arrives N just for 1 Integer;Here, it is read since the first row raw image data;Wherein, K is the positive integer from 1 to M, and M is the total of image data Frame number.
Lateral calculations element carries out image interpolation calculating to the jth row raw image data of k-th frame raw image data, In jth row interpolated data is inserted between adjacent raw image data.In the present embodiment, the interpolation of jth row raw image data Data and jth row raw image data are located at in a line and alternate setting;The interpolated data of jth row raw image data is classified as Y is arranged, so that k-th frame raw image data doubles in the horizontal, that is to say that pixel doubles in the horizontal.
In the present embodiment, can also the row of the interpolated data in jth row raw image data be judged using control element Whether calculating is completed;If it is not, then control element, which sends a signal to lateral calculations element, continues jth row raw image data Interpolated data calculating;If it is, the jth row raw image data of k-th frame raw image data is saved in the first figure It as memory element, such as is saved in DDR, while judgment component judges K for odd number or even number, when K is odd number, by jth row Raw image data is stored in first area, and when K is even number, jth row raw image data is stored in second area.This In, the first image memory element can also carry out image storage under the control of control element, specifically, control element can be to First image memory element sends signal, and the first image memory element receives the signal that recognition component is sent, and it is former to preserve k-th frame The jth row raw image data of beginning image data.
After the jth row raw image data of k-th frame raw image data preserves, control element judges whether to K The jth row raw image data preservation of frame raw image data finishes;If above-mentioned judging result is no, continue to preserve K The jth row raw image data of frame raw image data, the first image memory element can also be in the control of control element here Lower progress, for example, control element sends signal to the first image memory element, the first memory element continues after sending signal to working as Forward raw image data is preserved.If above-mentioned judging result is yes, starts to preserve jth row interpolation data row, also may be used Determine that signal makes the first image memory element start to preserve jth row to the first image memory element to be sent by control element Interpolated data arranges, and can arrange jth row interpolation data be saved in DDR here, and K can be judged for odd number using judgment component Or even number, when K is odd number, jth row interpolation data row are stored in first area by the first image memory element, when K is even number When, there are second areas by jth row interpolation data row for the first image memory element.
In addition, after the interpolated data for saving jth row raw image data, control element is further determined whether to jth The interpolated data preservation of row raw image data finishes;If it is, continuing the meter of next line k-th frame image interpolation data It calculates;Continue to carry out the interpolated data of jth row raw image data if it is not, then control element controls the first image memory element It preserves, for example, control element is by sending a signal to lateral calculations element, it is former that control lateral calculations element continues jth row The calculating of the interpolated data of beginning image data, and/or after the interpolated data of jth row raw image data calculates, control Element controls the preservation that the first image memory element carries out the interpolated data of jth row raw image data.Specifically, can be with profit Judge that K is odd number or even number with judgment component, when K is odd number, the first image memory element is by jth row raw image data Interpolated data be stored in first area, when K be even number when, the first image memory element by jth row raw image data insert Value Data is stored in second area.
Here, the interpolated data that jth row raw image data is calculated about lateral calculations element specifically includes:It calculates Element in the jth row raw image data of k-th frame raw image data i-th of raw image data and i+1 it is original Image data carries out image interpolation calculating, and i-th of the raw image data and i+1 in jth row raw image data are former The i-th row interpolated data is inserted between beginning image data, i is the positive integer since 1, and the maximum value of i+1 is Y;Repetitive cycling this Process makes i be incremented by 1 per circulation primary, to obtain k-th frame raw image data jth row raw image data interpolation number According to row.
In addition, in the present embodiment, after obtaining Y-1 interpolated image data of jth row raw image data, laterally count The Y row interpolated datas row of jth row raw image data, the data etc. for making Y row interpolated datas arrange can also be established by calculating element In Y row raw image datas, to complete, to the interpolation calculation of jth row raw image data, to obtain jth row and update the data Row has 2Y row image datas, is arranged including Y row interpolated datas, so that the pixel of new image data increases in the horizontal One times is added.It should be noted that computing element establishes Y row interpolated datas row in the present embodiment, in the other implementations of the present invention In example, computing element can not establish Y row interpolated datas row, but delete Y row raw image datas, to obtain (2*Y- 1) row new image data.It should be noted that since the line number for exporting image data in practice is very more, the deletion of 1 column data Influence to entire image can be ignored substantially.Described Y row are also arranged comprising Y-1 certainly in the present invention, this is because the number of Y Very big, Y is typically larger than in 100, that is, the present embodiment, it is believed that, Y-1 is similar to Y, and 2Y-1 is similar to 2Y.
It should also be noted that, as N=1 and Y=1, directly this raw image data can be carried out on line direction Duplication and column direction on duplication be not particularly suited for practical application even if as N=1 and Y=1.
Here, after jth row k-th frame image interpolation data preserve, control element can also determine whether to have preserved K Whole interpolated datas of the jth row raw image data of frame raw image data arrange;If it is, control digital independent element is opened Begin to read data, such as starts to read k-th frame new image data.If it is not, then continuing the calculating of jth row raw image data And/or preserve, can also judge K by judgment component at this time for odd number or even number, when K for odd number when, the first image memory element Jth row raw image data is stored in first area, the interpolated data of jth row raw image data is stored in the firstth area Domain, when K is even number, jth row raw image data is stored in second area by the first image memory element, and jth row is original The interpolated data of image data is stored in second area.
Digital independent element in the present embodiment is mutually electrically connected with the first image memory element, and digital independent element reads K Frame new image data.It should be noted that while digital independent element reads k-th frame new image data, lateral calculations member Part is still executing interpolation calculation work, and the first image memory element is also in the storage work for carrying out data, image receiving element Work is received carrying out image, specifically, while digital independent element reads k-th frame new image data, here in order to just In statement, think that K is fixed value for the time being, the first image memory element is laterally counted in the preservation of storage K+1 frame new image datas Element is calculated in the interpolated data for calculating K+2 frame raw image datas, image receiving element is receiving K+3 frame original image numbers According to.For example, while digital independent element reads the 1st frame new image data, the first image memory element is new in the 2nd frame of storage The preservation of image data, computing element are receiving the in the interpolated data for calculating the 3rd frame raw image data, image receiving element 4 frame raw image datas.
In addition, instruction can also be passed through about between the first image memory element, lateral calculations element, image receiving element It realizes, may include specifically:Digital independent element sends a signal to the first image and deposits after K can be made to be incremented by 1 i.e. K=K+1 Store up element, it is assumed that K is fixed value, and the first image memory element is made to start to execute the preservation of K+1 frame new image datas;Also, When the first image memory element proceeds by the preservation of K+1 frame new image datas, the first image memory element can make K + 1 be incremented by 1 again after send a signal to lateral calculations element, lateral calculations element starts to read the K+2 frames in image receiving element Raw image data go forward side by side row interpolation calculating;Moreover, the K+2 frames in lateral calculations element starts to read image receiving element When raw image data, lateral calculations element can send a signal to image receiving element after so that K+2 is incremented by 1 again, and image connects Receive the reception that element proceeds by K+3 frame raw image datas.First image memory element, cross during utilizing originally as a result, Cooperation to computing element, image receiving element, digital independent element further increases logical process efficiency, reduces power consumption.
In the present embodiment, digital independent element reads k-th frame new image data and specifically includes:K-th frame is carried out at the same time newly to scheme As the reading of the reading and rear Y row new image data of the preceding Y row new image data of data, and it is saved in different images memory block Domain.Here, the preceding Y row new image data and rear Y Lie Xintu that digital independent element can be to the 1st row of k-th frame new image data As data are carried out at the same time reading, after reading, digital independent element again arranges the preceding Y row new image data of the 2nd row and rear Y new Image data is carried out at the same time reading, and so on so that digital independent element is completed to all rows of k-th frame new image data It reads.
In addition, the present embodiment additionally provides a kind of computer readable storage medium, the computer-readable recording medium storage There is computer instruction, which realizes each step of the above-mentioned image processing method of the present embodiment when being executed by processor Suddenly.
In conclusion the present invention is by designing raw image data reading, interpolation calculation, new image data preservation, new figure As the matching relationship between each step of digital independent, while the pixel value for making raw image data laterally increases, optimization Image processing process, improves image processing efficiency, reduces power consumption, and the brightness of image of final output also greatly increases Add, such as in above-described embodiment, the image pixel of final output increases one times, and brightness increases one times, and image area is also horizontal To increasing one times, to the present invention is especially suitable in big picture miniature image output equipment, such as miniature laser projection is set It is standby.
Although the present invention disclosed with preferred embodiment it is as above, the right embodiment illustrate only for the purposes of explanation and , it is not limited to the present invention, if those skilled in the art can make without departing from the spirit and scope of the present invention Dry changes and retouches, and the protection domain that the present invention is advocated should be subject to described in claims.

Claims (19)

1. a kind of image processing method is made of per frame raw image data Y row raw image datas, Y is positive integer;It is special Sign is, including:
Step 01:Receive k-th frame raw image data;
Step 02:Interpolation calculation is carried out to k-th frame raw image data, obtains the Y row interpolated datas of k-th frame raw image data Row, and k-th frame raw image data and all interpolated datas row are saved as into k-th frame new image data;Meanwhile K being made to be incremented by 1, and execute a step 01;
Step 03:Then, k-th frame new image data is read;Meanwhile K being made to be incremented by 1, execute a step 02;K is from 1 to M's Positive integer, M are the totalframes of image data.
2. image processing method according to claim 1, which is characterized in that original by N rows per frame raw image data Image data forms, and N is positive integer;In the step 01, receives k-th frame raw image data and specifically include:
Step 011:Start the i-th row raw image data of reception k-th frame raw image data;
Step 012:Detect whether to receive all pixels point of the i-th row raw image data;If so, thening follow the steps 013;Such as Fruit is no, thens follow the steps 011;
Step 013:I-th row raw image data of k-th frame raw image data is preserved;
Step 014:Then, so that i is incremented by 1, execute step 011~013, until completing the guarantor of N row k-th frame raw image datas It deposits, to all preserve k-th frame raw image data;The positive integer of i=1 to N.
3. image processing method according to claim 1, which is characterized in that the step 02 specifically includes:
Step 021:Read the jth row raw image data of k-th frame raw image data;J is 1 positive integer for arriving N;
Step 022:Image interpolation calculating is carried out to the jth row raw image data of k-th frame raw image data, in jth row It is inserted into interpolated data between adjacent raw image data, obtains the interpolated data row of jth row raw image data;Wherein, jth Row raw image data and its interpolated data row constitute jth row and update the data row;
Step 023:Judge whether the calculating of the interpolated data row of jth row raw image data is completed;If so, thening follow the steps 024;If not, thening follow the steps 022;
Step 024:Preserve the jth row raw image data of k-th frame raw image data;
Step 025:Judge whether to finish the jth row raw image data preservation of k-th frame raw image data;If it is, Execute step 026;If not, thening follow the steps 024;
Step 026:Preserve the interpolated data row of jth row raw image data;
Step 027:Judge whether to preserve the interpolated data row of jth row raw image data and finish;If so, thening follow the steps 028;If not, thening follow the steps 026;
Step 028:So that j is incremented by 1, repeats step 021~027.
4. image processing method according to claim 3, which is characterized in that the step 022 specifically includes:
Step 022a:To i-th of raw image data and i-th in the jth row raw image data of k-th frame raw image data + 1 raw image data carries out image interpolation calculating, and interpolated data is inserted between adjacent raw image data in jth row, Obtain the interpolated data row of jth row raw image data;I is the positive integer since 1, and the maximum value of i+1 is Y;
Step 022b:Repetitive cycling step 022a, and so that i is incremented by 1 per circulation primary, to obtain k-th frame raw image data Jth row raw image data interpolated data row.
5. image processing method according to claim 4, which is characterized in that further include in the step 022a:When obtaining After the Y-1 row interpolated image datas of jth row raw image data, Y row interpolated datas row are established, Y row interpolated datas are made The data of row are equal to Y row raw image datas, to complete the interpolation calculation to jth row raw image data, obtained jth Row, which updates the data row, 2Y row, is arranged including Y row interpolated datas.
6. image processing method according to claim 3, which is characterized in that also wrapped between the step 02 and step 03 It includes:Judge whether that the whole Y row interpolated datas for having preserved k-th frame raw image data arrange;If so, thening follow the steps 03, such as Fruit is no, thens follow the steps 028.
7. image processing method according to claim 1, which is characterized in that in the step 03, read k-th frame new images Data specifically include:It is carried out at the same time the preceding Y row new image data of all rows of k-th frame new image data and rear Y row new images number According to reading, and be saved in different images storage region.
8. image processing method according to claim 1, which is characterized in that further include before step 01:To picture number According to Detection of Stability.
9. image processing method according to claim 8, which is characterized in that specifically wrapped to image data Detection of Stability It includes:
Step 001:Wait for image source transmission data during, real-time detection image source whether transmission data;If it is, holding Row step 002;
Step 002:Start to receive image data;
Step 003:It detects whether to receive two field pictures data, to judge whether to capture stable image source;If it is, executing Step 01;If not, thening follow the steps 001.
10. a kind of image processor, which is characterized in that including:Image receiving element, lateral calculations element, the storage of the first image Element, digital independent element;
Image receiving element is mutually electrically connected with lateral calculations element, and image receiving element receives k-th frame raw image data;Wherein, It is made of Y row raw image datas per frame raw image data, Y is positive integer;
Lateral calculations element is mutually electrically connected with image receiving element, image memory element, and lateral calculations element is to k-th frame original graph As data progress interpolation calculation, the Y row interpolated datas row of k-th frame raw image data are obtained;It is inserted in lateral calculations element While value calculates, image receiving element, which starts to execute, receives next frame raw image data;
First image memory element is mutually electrically connected with lateral calculations element, digital independent element, and the first image memory element is by K Frame raw image data and all interpolated datas row preserve, to form k-th frame new image data;It is stored in the first image While element preserves k-th frame new graph data, lateral calculations element starts to execute next step interpolation calculation;
Digital independent element is mutually electrically connected with the first image memory element, and digital independent element reads k-th frame new image data;Its In, K is the positive integer from 1 to M, and M is the totalframes of image data.
11. image processor according to claim 10, which is characterized in that further include image source element, the first detection member Part and the second image memory element;It is made of N row raw image datas per frame raw image data, N is positive integer;Image source Element sends the first row raw image data of k-th frame raw image data to image receiving element;Image receiving element receives The first row raw image data of k-th frame raw image data, and be stored in the second image memory element;First detection member Part detects whether to receive all pixels point of the first row raw image data;If it is not, then image receiving element is sent a signal to, Image receiving element continues to;It repeats the above process, until completing whole N rows original images of k-th frame raw image data The reception of data.
12. image processor according to claim 10, which is characterized in that original by N rows per frame raw image data Image data forms;Described image processor further includes control element;Wherein,
Lateral calculations element lateral calculations element reads the jth row raw image data of k-th frame raw image data;J is 1 to N Positive integer;
Lateral calculations element carries out image interpolation calculating to the jth row raw image data of k-th frame raw image data, in jth Interpolated data row are inserted into row between adjacent raw image data;
Control element come judge the interpolated data in jth row raw image data row calculating whether complete;If it is, first Image memory element preserves the jth row raw image data of k-th frame raw image data;If it is not, then control element sends letter Number continue the calculating of the interpolated data of jth row raw image data to lateral calculations element;
Control element further determines whether to finish the jth row raw image data preservation of k-th frame raw image data;If so, It then sends determining signal and controls the interpolated data row that the first image memory element preserves jth row to the first image memory element;Such as Fruit is no, then continues the jth row raw image data for preserving k-th frame raw image data;
Then, control element is further determined whether to preserve the interpolated data row of jth row raw image data and be finished;If it is, Continue the calculating of next line k-th frame image interpolation data;If it is not, then control element control the first image memory element after The continuous interpolated data row to jth row raw image data preserve.
13. image processor according to claim 12, which is characterized in that the lateral calculations element is original to k-th frame The jth row raw image data of image data carries out image interpolation calculating, and adjacent raw image data interleaves in jth row Enter interpolated data row to specifically include:The lateral calculations element is in the jth row raw image data of k-th frame raw image data I-th of raw image data and i+1 raw image data carry out image interpolation calculating, in i-th of raw image data The i-th row interpolated image data is inserted between i+1 raw image data, i is the positive integer since 1, the maximum value of i+1 For Y;This process of repetitive cycling makes i be incremented by 1, to obtain the jth row original graph of k-th frame raw image data per circulation primary As the interpolated data of data arranges.
14. image processor according to claim 13, which is characterized in that when obtaining the of jth row raw image data After Y-1 interpolated image data, the lateral calculations element also sets up Y row interpolated datas row, and Y row interpolated datas is made to arrange Data are equal to Y row raw image datas, to complete, to the interpolation calculation of jth row raw image data, to obtain 2Y Lie Xintu As data, arranged including Y row interpolated datas.
15. image processor according to claim 12, which is characterized in that the control element further determines whether to have preserved Whole interpolated datas of the jth row raw image data of k-th frame raw image data arrange;It is read if it is, controlling the data Element is taken to start to read data.
16. image processor according to claim 10, which is characterized in that digital independent element reads k-th frame new images Data specifically include:It is carried out at the same time the reading of the preceding Y row new image data of k-th frame new image data and rear Y row new image data Reading, and be saved in different images storage region.
17. image processor according to claim 10, which is characterized in that further include the second detecting element, the second detection Element is detected image data stability.
18. image processor according to claim 17, which is characterized in that the second detecting element is to image data stability It is detected and specifically includes:During waiting for an image source transmission data, detect whether described image source sends number in real time According to;If it is, sending a signal to image receiving element, image receiving element is made to start to receive image data;Then the second inspection It surveys whether element testing receives continuous two field pictures data, if it is, illustrating to capture stable image source, and sends signal Lateral calculations element is given, lateral calculations element is made to start to insert the k-th frame raw image data that image receiving element receives Value calculates.
19. a kind of computer readable storage medium, the computer-readable recording medium storage has computer instruction, feature to exist In when the computer instruction is executed by processor the step of realization claim 1 described image processing method.
CN201810121224.6A 2018-02-07 2018-02-07 Landscape images processor and image processing method, storage medium Pending CN108289210A (en)

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