CN106934812A - Image-signal processor and its image-signal processing method - Google Patents
Image-signal processor and its image-signal processing method Download PDFInfo
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- CN106934812A CN106934812A CN201510997846.1A CN201510997846A CN106934812A CN 106934812 A CN106934812 A CN 106934812A CN 201510997846 A CN201510997846 A CN 201510997846A CN 106934812 A CN106934812 A CN 106934812A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
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- H—ELECTRICITY
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Abstract
A kind of image-signal processor and its image-signal processing method.Described image signal processor includes：Signal receiving unit, is suitable to the data signal that correspondence is produced after reception is processed each pixel in acquired original image, obtains original digital image；Marginal information arithmetic element, is suitable to be calculated according to the original digital image respectively the marginal information of corresponding pixel points；At least two function optimization processing units, are suitable to the marginal information for being calculated according to the marginal information arithmetic element respectively, obtain corresponding edge image, and perform corresponding image processing function.ISP hardware design complexities and amount of calculation can be reduced using described image signal processor, and improves the accuracy of the edge image of each function optimization processing unit acquisition in ISP.
Description
Technical field
The present invention relates to technical field of image processing, and in particular to a kind of image-signal processor and its image
Signal processing method.
Background technology
No matter digital camera, video camera or camera mobile phone, the view data that imageing sensor is collected,
It is required to sequentially pass through analogue signal processor (Analog Signal Processing, ASP), simulation number
Word converter (Analog to Digital Converter, ADC) and image-signal processor (Image
Signal Processor, ISP) treatment after, can just be eventually displayed on above-mentioned terminal device.
Wherein, ISP Main Functions are to do later stage treatment, the performance of ISP to the data signal of ADC outputs
Determine the image quality of video camera.Under normal circumstances, ISP can include for perform linearity rectification,
Multiple functions of the functions such as noise remove, bad point removal, interpolation, white balance and auto-exposure control are excellent
Change processing unit.The multiple function optimization processing unit is when corresponding optimization function is realized, it usually needs
Reference edge information.Accurate marginal information can be extracted, is directly determined and is needed to refer to marginal information
Module performance.
At present, above-mentioned ISP hardware design complexities are higher, and amount of calculation is larger, cause the life of digital picture
It is slower into speed, and in ISP the marginal information that each function optimization processing unit is extracted accuracy compared with
It is low.
The content of the invention
The embodiment of the present invention is mainly used in solving how to reduce ISP hardware design complexities and amount of calculation,
And improve the accuracy of the edge image of each function optimization processing unit acquisition in ISP.
To solve the above problems, a kind of image-signal processor, described image are the embodiment of the invention provides
Signal processor includes：
Signal receiving unit, is suitable to correspondence after reception is processed each pixel in acquired original image
The data signal of generation, obtains original digital image；
Marginal information arithmetic element, is suitable to calculate corresponding pixel points according to the original digital image respectively
Marginal information；
At least two function optimization processing units, are suitable to the side for being calculated according to described information arithmetic element respectively
Edge information, obtains corresponding edge image, and perform corresponding image processing function.
Alternatively, the marginal information that the marginal information arithmetic element is extracted includes：The original figure
The edge power information and directional information of each pixel in image.
Alternatively, each function optimization processing unit is wrapped respectively at least two function optimizations processing unit
Include：
Edge image extraction module, is suitable to the marginal information calculated according to the marginal information arithmetic element,
According to default edge image condition, corresponding edge image is obtained；
Image processing module, is suitable to according to the edge image for being obtained, and performs affiliated function optimization treatment
Image processing function corresponding to unit.
Alternatively, at least two function optimizations processing unit each function optimization processing unit be suitable to from
Other function optimization processing units obtain image processing data, and according to the edge image for being obtained, perform
Image processing function corresponding to affiliated function optimization processing unit.
The embodiment of the present invention additionally provides a kind of image-signal processing method of image-signal processor, described
Image-signal processor includes at least two function optimization processing units, and methods described includes：
The data signal that correspondence is produced after each pixel is processed in receiving to acquired original image
When, original digital image is obtained according to the data signal, and calculate each picture in the original digital image
The marginal information of vegetarian refreshments；
The marginal information is respectively sent at least two function optimizations processing unit, by it is described extremely
Few two function optimization processing units obtain corresponding edge image according to the marginal information respectively, and hold
The corresponding image processing function of row.
Alternatively, the marginal information includes：The edge of each pixel is strong in the original digital image
Weak information and directional information.
Alternatively, it is described that corresponding image processing function is performed according to the marginal information, including：
According to the marginal information, according to default edge image condition, corresponding edge image is obtained；
According to the edge image for being obtained, perform at the image corresponding to affiliated function optimization processing unit
Reason function.
Alternatively, at least two function optimizations processing unit obtains right according to the marginal information respectively
The edge image answered, and corresponding image processing function is performed, including：
Each function optimization processing unit is processed from other function optimizations at least function optimization processing unit
Unit obtains image processing data, and according to the edge image for being obtained, performs the function optimization treatment
Image processing function corresponding to unit.
Compared with prior art, technical scheme at least has advantages below：
By setting marginal information arithmetic element in ISP, and then can be received in signal receiving unit
After the data signal that correspondence is produced after processing each pixel in acquired original image, first by described
Marginal information arithmetic element respectively according to the data signal calculate corresponding pixel points marginal information, then by
The marginal information that each function optimization processing unit is calculated according to the marginal information arithmetic element respectively, obtains
Corresponding edge image, and perform corresponding image processing function.Unified to count by marginal information arithmetic element
The marginal information of the original digital image is calculated, each function optimization processing unit is directly believed using the edge
Ceasing the result of calculation of arithmetic element carries out subsequent treatment, and need not respectively calculate marginal information, reduces
The hardware design complexity and amount of calculation of image-signal processor.Also, because the treatment of each function optimization is single
The edge image that unit obtains is all based on carrying out original digital image the information after edge extracting, Er Feijing
Marginal information after the function optimization processing unit processes of upstream, therefore in the absence of marginal information loss, therefore respectively
The edge image accuracy that function optimization processing unit is obtained is higher.
Brief description of the drawings
Fig. 1 is a kind of structural representation of image processing system in the embodiment of the present invention；
Fig. 2 is a kind of structural representation of ISP in the prior art；
Fig. 3 is a kind of structural representation of ISP in the embodiment of the present invention；
Fig. 4 is the structural representation of another kind ISP in the embodiment of the present invention；
Fig. 5 is a kind of image-signal processing method flow chart in the embodiment of the present invention.
Specific embodiment
At present, as shown in figure 1, the image of the imaging device such as digital camera, video camera or camera mobile phone
In processing system, imageing sensor 11, ASP12, ADC13 and ISP14 is usually provided with.Wherein,
Imageing sensor 11 is suitable to gather view data, obtains acquired original image, and export the acquired original
The corresponding analog signal of each pixel in image.ASP12 is suitable to the mould to described image sensor output
Intend signal to be processed.ADC13 is suitable to the analog signal after ASP12 is processed and is converted to corresponding numeral
Signal, obtains original digital image.ISP14 carries out later stage treatment to the original digital image.Through ISP14
Image after treatment can be just displayed on the display of the imaging device.
Wherein, ISP14 includes multiple function optimization processing units, is respectively used to perform linearity rectification, noise
The functions such as removal, bad point removal, interpolation, white balance or auto-exposure control.To the original figure
When image carries out later stage treatment, the most function optimization processing units in ISP are required for using image border letter
Breath, and then the original digital image can accordingly be processed according to described image marginal information.
Fig. 2 shows a kind of structural representation of current ISP.As shown in Fig. 2 the ISP includes first
Function optimization processing unit 211, the second function optimization processing unit 212 and the treatment of the 3rd function optimization are single
Unit 213, edge extracting module is respectively arranged with inside each function optimization processing unit.Obtain original figure
After image 20, the edge extracting module 211a inside the first function optimization processing unit 211 is first to the original
Beginning digital picture extracts marginal information, obtains corresponding edge image, the edge image obtained by recycling
The original digital image is processed accordingly, and the original digital image after treatment is sent to
Two function optimization processing units 212.Afterwards, the edge inside the second function optimization processing unit 212
Extraction module 212a through the original digital image after the treatment of the first function optimization processing unit 211 to extracting side
Edge information, obtains corresponding edge image, and the edge image obtained by recycling is to described through the first function
Original digital image after the treatment of optimization processing unit 211 is processed accordingly, and by the original after treatment
Beginning digital picture is sent to the 3rd function optimization processing unit 213.The 3rd function optimization processing unit
Edge extracting module 213a inside 213 is to through original after the treatment of the second function optimization processing unit 212
Digital picture extracts marginal information, obtains corresponding edge image, the edge image pair obtained by recycling
Original digital image after the treatment through the second function optimization processing unit 212 is processed accordingly.
As seen from Figure 2, in current ISP, each is needed to refer at the function optimization of marginal information
Edge extracting module is provided with reason unit, is carried according to respective edge by respective edge extracting module
Take method the marginal information of image is calculated and judged, cause the ISP to take row buffer (line
Buffer), amount of calculation and hardware design complexity increase.Also, follow-up function optimization processing unit exists
When extracting marginal information, the original digital image of upstream function optimization processing unit processes, portion are all based on
Divide detailed information loss, cause follow-up function optimization processing unit to be difficult to accurately obtain the original figure
The marginal information of image.
Regarding to the issue above, The embodiment provides a kind of image-signal processor, described device
Signal receiving unit, marginal information arithmetic element and at least two function optimization processing units can be included.
Correspondence is produced after each pixel during signal receiving unit is received to acquired original image is processed
After data signal, corresponding pixel points are first calculated according to the data signal by marginal information arithmetic element respectively
Marginal information, then by each function optimization processing unit respectively according to the marginal information arithmetic element calculate
Marginal information, obtain corresponding edge image, and perform corresponding image processing function.
That is, by setting marginal information arithmetic element in image-signal processor, and then can be with
After original digital image is obtained, the original digital image is unifiedly calculated by marginal information arithmetic element
Marginal information, each function optimization processing unit is directly using the result of calculation of the marginal information arithmetic element
Subsequent treatment is carried out, and need not respectively calculate marginal information, reduce the hardware of image-signal processor
Design complexities and amount of calculation.Also, because the edge image that each function optimization processing unit is obtained is
Based on carrying out the information after edge extracting to original digital image, rather than through upstream function optimization processing unit
Marginal information after treatment, therefore in the absence of marginal information loss, therefore each function optimization processing unit is obtained
Edge image accuracy it is higher.
It is understandable to enable the above objects, features and advantages of the present invention to become apparent, below in conjunction with the accompanying drawings
Specific embodiment of the invention is explained.
The embodiment of the invention provides a kind of image-signal processor.Referring to Fig. 3, described image is believed
Number processor is described in detail.
As shown in figure 3, described image signal processor can include：Signal receiving unit 31, edge is believed
Breath arithmetic element 32 and function optimization processing unit 331~333.Wherein, the signal receiving unit 31
It is suitable to the data signal that correspondence is produced after reception is processed each pixel in acquired original image, obtains
To original digital image；The marginal information arithmetic element 32 is suitable to respectively according to the original digital image
Calculate the marginal information of corresponding pixel points.The quantity of the function optimization processing unit 331~333 is at least
Two, it is suitable to the marginal information for being calculated according to the marginal information arithmetic element 32 respectively, obtains corresponding
Edge image, and perform corresponding image processing function.
In specific implementation, the marginal information that the marginal information arithmetic element 32 is extracted can include：
The edge power information and directional information of each pixel in the original digital image.
In specific implementation, the function optimization processing unit 331~333 can be extracted including edge image
Unit and graphics processing unit.Wherein, the edge image extraction unit is suitable to be transported according to described information
The marginal information that unit is calculated is calculated, according to default edge image condition, corresponding edge image is obtained.
Described image processing unit is suitable to, according to the edge image for being obtained, perform the function optimization processing unit
Corresponding image processing function.Wherein, the default edge image condition of each function optimization processing unit
Can be with identical, it is also possible to different, the function with specific reference to the function optimization processing unit is set.
Specifically, the first function optimization processing unit 331 can include：Edge image extraction module
331a and image processing module 331b.The second function optimization processing unit 332 can include：Edge
Image zooming-out module 332a and image processing module 332b.The 3rd function optimization processing unit 333 can
To include：Edge image extraction module 333a and image processing module 333b.
In specific implementation, the function optimization processing unit 331~333 is suitable to from other function optimizations
Reason unit obtains image processing data, and according to the edge image for being obtained, performs at the function optimization
Image processing function corresponding to reason unit.For example, the second function optimization processing unit 332 can be with
Obtained from the first function optimization processing unit 331 and processed through the first function optimization processing unit 331
Image processing data afterwards, the 3rd function optimization processing unit 333 can be excellent from second function
The image procossing after being processed through the second function optimization processing unit 332 is obtained in change processing unit 332
Data.How image processing data specifically transmits between each function optimization processing unit 331~333,
Determined by the function of each function optimization processing unit 331~333.For example, the work(with decrease of noise functions
Energy optimization processing unit generally will obtain image processing data from the module with demosaicing function.
The image-signal processor in the embodiment of the present invention is understood for the ease of those skilled in the art, with reference to
Specific function optimization processing unit, is described in detail to described image signal processor.
As shown in figure 4, described image signal processor includes：Signal receiving unit 41, marginal information fortune
Unit 42, demosaicing unit 431, noise reduction unit 432 are calculated, and sharpens unit 433.
After signal receiving unit 41 obtains original digital image, described in marginal information arithmetic element 42 pairs
Original digital image carries out edge extraction, then the marginal information that will be extracted is respectively sent to horse
Match gram unit 431, noise reduction unit 432, and sharpen unit 433.Demosaicing unit 431, noise reduction
Unit 432, and sharpening unit 433 can be according to respective edge image condition, the side required for obtaining
Edge image, and with reference to acquired edge image, more accurate place is carried out to the original digital image
Reason.
Specifically, in marginal information arithmetic element 42, can suitably increase the template of edge extracting, make
With Boundary extracting algorithm higher exactly, accurately extract in the original digital image all directions with
And the marginal information EdgeInfo={ gN, gS, gW, gE, g45, g135, gTexture } of texture region,
So that each function optimization unit can determine that the corresponding region of the digital picture is according to the marginal information
No have an edge, and the edge whether be it is strong while or it is weak while etc..Wherein, gN represents the original number
In gradient information vertically upward, gS represents the original digital image in side vertically downward to word image
To gradient information, gW represents gradient information of the original digital image in horizontal left direction, gE
Gradient information of the original digital image in horizontal right direction is represented, g45 represents the original figure figure
As the marginal information on 45 ° of directions, g135 represents the original digital image on 135 ° of directions
Marginal information, gTexture represents marginal information of the original digital image in texture region.
The marginal information EdgeInfo that will be extracted is respectively sent to demosaicing unit 431, noise reduction list
Unit 432, and sharpen unit 433.At the same time, original digital image is successively through demosaicing unit 431,
Noise reduction unit 432, and sharpening unit 433 is processed accordingly.
Specifically, when original digital image and EdgeInfo are sent to demosaicing processor 431, one
Aspect, demosaicing unit 431 can be believed using gN, gS, gW and the gE transmitted in EdgeInfo
Breath, knows the marginal information gH and the marginal information of vertical direction of the horizontal direction of the original digital image
GV, wherein, gH=gW+gE, gV=gN+gS, it is possible to realize in the original digital image each
The judgement of the directional information of pixel.On the other hand, demosaicing unit 431 is in original figure figure
When the pixel value of each pixel enters row interpolation, gradient that can be according to the actual needs to all directions is believed
Breath sets rational threshold value, it is possible thereby to accurately be judged the direction of interpolation, improves to the original
The precision of beginning digital picture demosaicing.
Original digital image and EdgeInfo after being processed through demosaicing unit 431 are sent to noise reduction
During unit 432, noise reduction unit 432 needs to refer to more accurately marginal information, with to through demosaicing
Original digital image after the treatment of unit 431 carries out noise reduction process.Now just not only need to refer to level and
The marginal information of vertical direction, in addition it is also necessary to reference to 45 °, 135 ° and the marginal information of texture region.It is logical
The region of the original digital image different frequency after crossing to being processed through demosaicing unit 431, uses difference
Noise reduction intensity, can effectively suppress the noise of the image flat site, and it is complete to retain the image
High-frequency information.It can thus be seen that the complete marginal information of details has to realizing preferable denoising effect
Highly important meaning, if the marginal information loss part detailed information that the noise reduction unit 432 is obtained,
Certain influence will necessarily be produced on noise reduction.
Original digital image and EdgeInfo after being processed through noise reduction unit 432 are sent to sharpening unit
When 433, sharpen unit 433 and need to refer to accurate marginal information, to the original after the treatment of noise reduction unit 432
Beginning digital picture is sharpened operation.Now directly believe using to the edge that original digital image is unified to extract
Breath is sharpened operation, and the effect of sharpening can be substantially improved.It is original after through noise reduction unit 432
There is a certain degree of loss in the high-frequency information in the marginal information of digital picture, if the sharpening unit
433 image edge informations for obtaining are the marginal information after being processed through noise reduction unit 432, the sharpening unit
433 pairs again through noise reduction unit 432 process after marginal information carry out edge extraction operation operate when, obtain
Edge image can not exactly reflect the details of original image, and the effect to sharpening has a great impact.
As shown in the above, the image-signal processor in the embodiment of the present invention, is believed by setting edge
Breath arithmetic element, and then can be unified to count by marginal information arithmetic element after original digital image is obtained
The marginal information of the original digital image is calculated, each function optimization processing unit is directly believed using the edge
The result of calculation for ceasing arithmetic element carries out subsequent treatment, can not only reduce image-signal processor
Hardware design complexity and amount of calculation, and each function optimization treatment in image-signal processor can be caused
The edge image accuracy that unit is obtained is higher.
In order that those skilled in the art more fully understand and realize the present invention, individually below to said apparatus
Corresponding method is described in detail.
The embodiment of the invention provides a kind of image-signal processing method of image-signal processor.Wherein,
Described image signal processor includes at least two function optimization processing units.Referring to Fig. 5, to described
Image-signal processing method is described in detail.
As shown in figure 5, described may include steps of：
Step 51, judge whether to receive each pixel in acquired original image is processed after correspondence
The data signal of generation.
The data signal that correspondence is produced after each pixel is processed in receiving to acquired original image
When, step 52 is performed, otherwise continue executing with step 51.
Step 52, obtains original digital image, and calculate the original figure figure according to the data signal
The marginal information of each pixel as in.
In specific implementation, the marginal information of each pixel can include in the original digital image：Institute
The edge power information and directional information of each pixel in original digital image are stated, can specifically be used many
Plant the marginal information that edge detection algorithm extracts each pixel in original digital image, such as the inspection of Sobel edges
Method of determining and calculating or Canny edge detection algorithms.
Step 53, is respectively sent to each function optimization processing unit, by each institute by the marginal information
State function optimization processing unit and corresponding edge image is obtained according to the marginal information respectively, and perform phase
The image processing function answered.
In specific implementation, the function that the function optimization processing unit is specifically performed is unrestricted, as long as
The function optimization processing unit is when corresponding function is performed, it is necessary to reference to the edge of the digital picture
Information.Also, the annexation between each function optimization processing unit is unrestricted, described
Function optimization processing unit can from other function optimization processing units obtain image processing data, and according to
The edge image for being obtained, performs the image processing function corresponding to the function optimization processing unit.It is former
After beginning digital picture is through each function optimization processing unit processes in ISP, imaging device is just eventually displayed in
Display on.
In specific implementation, the function optimization processing unit is performed accordingly according to the marginal information
During image processing function, first according to the marginal information according to default edge image condition, can obtain
Corresponding edge image is obtained, further according to the edge image for being obtained, the function optimization processing unit is performed
Corresponding image processing function.Wherein, the edge image condition in each function optimization processing unit
Can be with identical, it is also possible to different.
As shown in the above, the image-signal processing method in the embodiment of the present invention, is getting to original
During the data signal that correspondence is produced after each pixel is processed in beginning collection image, by unified calculation
The marginal information of each pixel in original digital image, then the marginal information that will be calculated is respectively sent to
Each function optimization processing unit, is believed according to the edge respectively by each function optimization processing unit
Breath obtains corresponding edge image, and performs corresponding image processing function, can not only reduce image letter
The hardware design complexity and amount of calculation of number processor, and can cause that each function optimization processing unit is obtained
The edge image accuracy for arriving is higher.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment
Rapid to can be by program to instruct the hardware of correlation to complete, the program can be stored in a computer can
Read in storage medium, storage medium can include：ROM, RAM, disk or CD etc..
Although present disclosure is as above, the present invention is not limited to this.Any those skilled in the art,
Without departing from the spirit and scope of the present invention, can make various changes or modifications, therefore guarantor of the invention
Shield scope should be defined by claim limited range.
Claims (8)
1. a kind of image-signal processor, it is characterised in that including：
Signal receiving unit, is suitable to correspondence after reception is processed each pixel in acquired original image
The data signal of generation, obtains original digital image；
Marginal information arithmetic element, is suitable to calculate corresponding pixel points according to the original digital image respectively
Marginal information；
At least two function optimization processing units, are suitable to be calculated according to the marginal information arithmetic element respectively
Marginal information, obtain corresponding edge image, and perform corresponding image processing function.
2. image-signal processor as claimed in claim 1, it is characterised in that the marginal information computing list
The marginal information that unit extracts includes：The edge power information of each pixel in the original digital image
And directional information.
3. image-signal processor as claimed in claim 1, it is characterised in that at least two function is excellent
Each function optimization processing unit includes respectively in changing processing unit：
Edge image extraction module, is suitable to the marginal information calculated according to the marginal information arithmetic element,
According to default edge image condition, corresponding edge image is obtained；
Image processing module, is suitable to according to the edge image for being obtained, and performs affiliated function optimization treatment
Image processing function corresponding to unit.
4. image-signal processor as claimed in claim 1, it is characterised in that at least two function is excellent
Each function optimization processing unit is suitable to be obtained at image from other function optimization processing units in changing processing unit
Reason data, and according to the edge image for being obtained, perform corresponding to affiliated function optimization processing unit
Image processing function.
5. a kind of image-signal processing method of image-signal processor, it is characterised in that at described image signal
Reason device includes at least two function optimization processing units, and methods described includes：
The data signal that correspondence is produced after each pixel is processed in receiving to acquired original image
When, original digital image is obtained according to the data signal, and calculate each picture in the original digital image
The marginal information of vegetarian refreshments；
The marginal information is respectively sent at least two function optimizations processing unit, by it is described extremely
Few two function optimization processing units obtain corresponding edge image according to the marginal information respectively, and hold
The corresponding image processing function of row.
6. the image-signal processing method of image-signal processor as claimed in claim 5, it is characterised in that
The marginal information includes：The edge power information of each pixel and direction in the original digital image
Information.
7. the image-signal processing method of image-signal processor as claimed in claim 5, it is characterised in that
It is described that corresponding image processing function is performed according to the marginal information, including：
According to the marginal information, according to default edge image condition, corresponding edge image is obtained；
According to the edge image for being obtained, perform at the image corresponding to affiliated function optimization processing unit
Reason function.
8. the image-signal processing method of image-signal processor as claimed in claim 5, it is characterised in that
At least two function optimizations processing unit obtains corresponding edge image according to the marginal information respectively,
And corresponding image processing function is performed, including：
Each function optimization processing unit is from other function optimizations at least two function optimizations processing unit
Processing unit obtains image processing data, and according to the edge image for being obtained, performs affiliated function excellent
Change the image processing function corresponding to processing unit.
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| CN107545540A (en) * | 2017-07-18 | 2018-01-05 | 浙江金钥匙儿童用品有限公司 | A kind of method for recording child growth course |
| CN112514364A (en) * | 2019-11-29 | 2021-03-16 | 深圳市大疆创新科技有限公司 | Image signal processing apparatus, image signal processing method, camera, and movable platform |
| WO2021102947A1 (en) * | 2019-11-29 | 2021-06-03 | 深圳市大疆创新科技有限公司 | Image signal processing apparatus and method, camera, and mobile platform |
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