CN103347170A - Image processing method used for intelligent monitoring and high-resolution camera applied in image processing method - Google Patents
Image processing method used for intelligent monitoring and high-resolution camera applied in image processing method Download PDFInfo
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Abstract
The invention discloses an image processing method used for intelligent monitoring and a high-resolution camera applied in the image processing method, and belongs to high-definition image collecting equipment in an intelligent monitoring system. An image sensing module is connected to an image collecting and foreground and background separation module to be used for converting environment conditions in a functioning range into original image data and transmitting the original image data to the image collecting and foreground and background separation module. The image collecting and foreground and background separation module is connected with an image processing encoding module to be used for performing a step A and a step B. The image processing encoding module is connected with a communication port to be used for performing from a step C to a step F, and transmitting the separated image data to an image receiving end through a communication port. The image processing method used for intelligent monitoring is simple in procedure, suitable for safe monitoring and a next-generation intelligent monitoring system based on facial recognition, anti-fake recognition and other advanced image recognition and wide in application range.
Description
Technical field
The present invention relates to the high-definition image collecting device in a kind of intelligent monitor system, in particular, the present invention relates generally to a kind of for the image processing method of intelligent monitoring and the high-resolution camera of application thereof.
Background technology
Existing high definition rig camera adopts the video compression algorithm of standard, as MPEG with H.264 to wait mainly be for the research and development of the HD video of show business, its objective is deletion image detail as much as possible, to reduce data volume, make high definition TV or to be stored in memory device by internet transmission, in USB flash disk or disk.These technology are that width of cloth image is handled as the set of single pixel.Its basic principle is the blockage that the picture segmentation of every frame is become a lot of 8 x, 8 pixels, then to the COS conversion of dispersing of each blockage, pixel is transformed to the frequency domain space from geometric space, and then through low pass filter radio-frequency component is filtered, just the details of image is wiped.Then remaining the back transmission of low-frequency component coding and storage.No matter whether image change, all to do such processing, transmission and storage at every turn.Consequently, for the data volume of high-definition picture being reduced to the stage that can transmit and store, the image after the compression has lost most details.For TV, perform in a radio or TV programme the Room, show business, Streaming Media, and consumer-elcetronics devices, as portable digital camera, video camera and mobile phone etc., these image processing methods are acceptables, and are extraordinary.But especially follow-on based on face recognition for supervisory control system, anti-counterfeit recognition and other advanced images are handled the intelligent monitor system of using, and the details of image is very important.
If image compression is cost to lose image definition or movement velocity, so through the image of overcompression with obtain from the camera of low resolution at present, the few of difference of pure and fresh degree of not compressed image, even not as good as the picture quality of old-fashioned simulation monitoring system.The main cause that present high-resolution supervisory control system that Here it is is difficult to promote.Problem at the conventional images treatment technology runs in monitoring system is necessary to make further improvement and research.
Summary of the invention
One of purpose of the present invention is at above-mentioned deficiency, provide a kind of for the image processing method of intelligent monitoring and the high-resolution camera of application thereof, the data volume that solves high-definition image in the prior art with expectation is bigger, direct transmission is difficult to realize based on existing network, and image transmits the details as much as possible that needs in the deleted image at present, to reach the technical problems such as purpose that reduce data volume.
For solving above-mentioned technical problem, the present invention by the following technical solutions:
One aspect of the present invention provides a kind of image processing method for intelligent monitoring, and described method comprises the steps:
The raw image data that steps A, IMAQ and prospect background separation module collect image sensing module from the RGB color space to the YUV color notation conversion space, and then respectively corresponding component data in the Y in the original image after the conversion, U, V picture content data and the historical reference image is carried out difference processing, and deposit in respectively in the different subregions in the frame buffer;
Step B, the component data after from RGB to the YUV conversion are weighted on average with the respective component data of reference picture respectively, and the result is deposited in the reference picture buffering area as the reference picture of piece image down;
As preferably, further technical scheme is: described method comprises that also step C, image processing coding module are in the different buffer partitions of frame buffer, each buffer partitions further is divided into the square-shaped image component pixel piece of set pixel, and respectively in the enterprising row labels of diverse location.
Further technical scheme is: after described method comprises that also step D, image processing coding module are divided into N set block of pixels respectively with the picture content block of pixels in the different buffer partitions in the frame buffer, each all pixel cell and non-vanishing block of pixels are carried out two-dimensional discrete COS conversion, with block of pixels from the two-dimensional geometry spatial alternation to two-dimentional frequency space, make it to become N DCT matrix, the DCT matrix multiplies each other with a transfer function matrix T FM who determines according to application requirements and applied environment again, is used for selecting interested characteristics of image.
Further technical scheme is: described transfer function matrix T FM can form all-pass, low pass, the band pass filter of high pass according to the requirement adjustment of using.
Further technical scheme is: described method also comprises step e, image is handled coding module will be by transfer function matrix D CT and the resulting code stream matrix B of TFM matrix multiple SM, the Huffman algorithm of the harmless compression of employing further compresses code stream again, obtains final image code stream TBS by the ARC4 cryptographic algorithm with default secret key processing then.
Further technical scheme is: described method comprises that also image code stream TBS that step F, transmission control module produce each block of pixels is encoded into a packet with the link-layer frame format compatible of IEEE802.3 Ethernet.
The present invention also provides a kind of high-resolution camera for intelligent monitoring on the other hand, and described camera comprises:
Image sensing module, incoming image collection and prospect background separation module are used for that the ambient conditions in the sphere of action is converted to raw image data and transfer to IMAQ and prospect background separation module;
IMAQ and prospect background separation module, incoming image is handled coding module, is used for carrying out above-mentioned steps A and step B;
Image is handled coding module, and the incoming communication interface is used for carrying out above-mentioned step C to step F, and the view data after will separating by communication interface transfers to the image receiving terminal respectively.
As preferably, further with technical scheme: comprise transmission control module in the described camera, described transmission control module incoming image is respectively handled coding module and communication interface, is used for above-mentioned step F.
With technical scheme further: described IMAQ and prospect background separation module and image are handled coding module and are also inserted first image buffer memory respectively, transfer to this first image buffer memory for background image data and foreground image data after will being separated by IMAQ and separation module, image processing coding module reads background image data from first image buffer memory and foreground image data is carried out the compressed encoding processing respectively.
With technical scheme further: described image is handled coding module and transmission control module also inserts second image buffer memory respectively, be used for transferring to second image buffer memory by the image code stream TBS that image processing coding module will finally obtain, transmission control module reading images code stream TBS from second image buffer memory carries out packet compiling and the transmission of control communication interface.
Compared with prior art, one of beneficial effect of the present invention is: at fixed scene in the monitoring image or slowly scene change account for the feature of significant proportion, by in camera with the background in the high-definition image with compress processing respectively after prospect is separated, foreground data real-time Transmission wherein, for the background layer of permanency long period transmission primaries just then, and at the image receiving terminal background image data and foreground image data are synthesized and to go back original image.And then after background image data omitted from realtime graphic, real-time Transmission foreground image data only, make transmission and the storing image data amount of supervisory control system greatly descend, make to keep more details in the image in the image transmitted data, solved the contradiction of image definition and data volume.A kind of image processing method step for intelligent monitoring provided by the present invention is simple simultaneously, be applicable to security monitoring and the follow-on intelligent monitor system based on image recognition based on face recognition, anti-counterfeit recognition and other advanced persons, range of application is wide.
Description of drawings
Fig. 1 is for being used for the structural representation block diagram of explanation one embodiment of the invention;
Fig. 2 for be used for explanation one embodiment of the invention image by RGB to YUV colour space transformation figure;
Fig. 3 separates schematic diagram for the prospect background that is used for explanation one embodiment of the invention image;
Fig. 4 separates the block of pixels schematic diagram of back foreground image Y component for being used for the explanation one embodiment of the invention;
Fig. 5 is for being used for the pixel distribution attitude schematic diagram of explanation one embodiment of the invention Y component pixel piece;
Fig. 6 is for being used for the discrete COS conversion schematic diagram of a block of pixels in the explanation one embodiment of the invention Y component;
Fig. 7 does not have the transfer function schematic diagram of compression for being used for the explanation one embodiment of the invention;
Fig. 8 is for being used for the transfer function schematic diagram that explanation one embodiment of the invention vision is optimized;
Fig. 9 is for being used for the transfer function schematic diagram of explanation one embodiment of the invention contour extraction;
Figure 10 is for being used for explanation one embodiment of the invention dfd matrix serializing sequential schematic.
Embodiment
The present invention is further elaborated below in conjunction with accompanying drawing.
With reference to shown in Figure 1, one embodiment of the present of invention are a kind of high-resolution cameras for intelligent monitoring, and described camera comprises:
Image sensing module, incoming image collection and prospect background separation module are used for that the ambient conditions in the sphere of action is converted to raw image data and transfer to IMAQ and prospect background separation module;
IMAQ and prospect background separation module, incoming image is handled coding module, be used for raw image data that image sensing module is collected from the RGB color space to the YUV color notation conversion space, and then respectively corresponding component data in the Y in the original image after the conversion, U, V picture content data and the historical reference image is carried out difference processing, and deposit in respectively in the different subregions in the frame buffer; Component data after from RGB to the YUV conversion is weighted on average with the respective component data of reference picture respectively, and the result is deposited in the reference picture buffering area as the reference picture of piece image down;
Image is handled coding module, and the incoming communication interface is used for the different buffer partitions at frame buffer, and each buffer partitions further is divided into the square-shaped image component pixel piece of set pixel, and respectively in the enterprising row labels of diverse location; After picture content block of pixels in the different buffer partitions in the frame buffer is divided into the set block of pixels of N respectively, each all pixel cell and non-vanishing block of pixels are carried out two-dimensional discrete COS conversion, with block of pixels from the two-dimensional geometry spatial alternation to two-dimentional frequency space, make it to become N DCT matrix, the DCT matrix multiplies each other with a transfer function matrix T FM who determines according to application requirements and applied environment again, is used for selecting interested characteristics of image; Will be by transfer function matrix D CT and the resulting code stream matrix B of TFM matrix multiple SM, adopt the Huffman algorithm of harmless compression that code stream is further compressed again, handle by ARC4 cryptographic algorithm and default secret key then and obtain final image code stream TBS.
Again with reference to shown in Figure 1, be used for the embodiment that the technical solution problem is more preferably in the present invention, also can in above-mentioned camera, set up transmission control module, be used for the image code stream TBS that each block of pixels produces is encoded into a packet with the link-layer frame format compatible of IEEE802.3 Ethernet, and the view data after will separating by communication interface transfers to the image receiving terminal respectively.
According to another embodiment of the present invention, described IMAQ and prospect background separation module and image are handled coding module and are also inserted first image buffer memory respectively, transfer to this first image buffer memory for background image data and foreground image data after will being separated by IMAQ and separation module, image processing coding module reads background image data from first image buffer memory and foreground image data is carried out the compressed encoding processing respectively.
Again according to another embodiment of the present invention, described image is handled coding module and transmission control module also inserts second image buffer memory respectively, be used for transferring to second image buffer memory by the image code stream TBS that image processing coding module will finally obtain, transmission control module reading images code stream TBS from second image buffer memory carries out packet compiling and the transmission of control communication interface.
Similar with above-described embodiment, the embodiment of another type of the present invention is a kind of image processing method for intelligent monitoring, and described method comprises the steps:
The raw image data that steps A, IMAQ and prospect background separation module collect image sensing module from the RGB color space to the YUV color notation conversion space, and then respectively corresponding component data in the Y in the original image after the conversion, U, V picture content data and the historical reference image is carried out difference processing, and deposit in respectively in the different subregions in the frame buffer;
Step B, the component data after from RGB to the YUV conversion are weighted on average with the respective component data of reference picture respectively, and the result is deposited in the reference picture buffering area as the reference picture of piece image down;
Step C, image handle coding module in the different buffer partitions of frame buffer, and each buffer partitions further is divided into the square-shaped image component pixel piece of set pixel, and respectively in the enterprising row labels of diverse location.
After step D, image processing coding module are divided into N set block of pixels respectively with the picture content block of pixels in the different buffer partitions in the frame buffer, each all pixel cell and non-vanishing block of pixels are carried out two-dimensional discrete COS conversion, with block of pixels from the two-dimensional geometry spatial alternation to two-dimentional frequency space, make it to become N DCT matrix, the DCT matrix multiplies each other with a transfer function matrix T FM who determines according to application requirements and applied environment again, is used for selecting interested characteristics of image.And transfer function matrix T FM can form all-pass, low pass, the band pass filter of high pass according to the requirement adjustment of using.
Step e, image are handled coding module will be by transfer function matrix D CT and the resulting code stream matrix B of TFM matrix multiple SM, the Huffman algorithm of the harmless compression of employing further compresses code stream again, obtains final image code stream TBS by the ARC4 cryptographic algorithm with default secret key processing then.
The image code stream TBS that step F, transmission control module produce each block of pixels is encoded into a packet with the link-layer frame format compatible of IEEE802.3 Ethernet.
On above-mentioned basis, what technical solution of the present invention was more detailed is described as follows:
With reference to shown in Figure 2, the prospect background separation module becomes YUV color difference image data after the current original RGB image three-colo(u)r data that collect and aberration transformation matrix are multiplied each other.Wherein the Y component contains the composition of measuring of image, and the resolution of image is played a decisive role, and especially under the situation that night or illuminance are very low, the color information of image does not exist, and has only monochrome information.
With reference to shown in Figure 3, the prospect background separation module is current image date Y, U, V and reference image data R-Y, R-U, R-V carries out calculus of differences, obtains corresponding foreground data D-Y, D-U, D-V, and deposit it respective partition of frame buffer in, simultaneously with reference image data R-Y, R-U, R-V and current image date Y, U, V and the weighted average of carrying out 0.25:0.75 obtain new reference image data R-Y', R-U', R-V ', and replace current reference picture with it, become the reference picture of next frame image.
With reference to shown in Figure 4, image is handled the D-Y that coding module is incited somebody to action in image buffer, D-U, and each subregion of D-V is further divided into the block of pixels of 16 x 16 again.Fig. 5 is the block of pixels schematic diagram of D-Y.Other subregion is also by similarly dividing.The internal structure of each block of pixels is made of 256 pixels as shown in Figure 9, arranges according to the 2 dimension matrixes of 16 x 16.
With reference to shown in Figure 6, image is handled coding module to the D-Y in the image buffer, D-U, each pixel cell DY_m_n among the D-V, DU_m_n and DV_m_n get count and, to counting and the COS conversion of dispersing of non-vanishing unit, produce corresponding DCT matrix unit DCTY_m_n, DCTU_m_n, and DCTV_m_n, and these are counted and DCT matrix unit that non-vanishing pixel cell produces deposits in the another one subregion of image buffer memory, become the frequency domain spatial data of present image prospect.Concrete figure following formula:
N=16 wherein, x from left to right, y is from top to bottom
For the image of supervisory control system, the ratio that the foreground image of variation accounts for is very little, thereby the counting and all be zero of most pixel cells.That is to say needs the further data of handling and transmitting seldom.
On the basis of the above, image is handled coding module in the image buffer, each DCT matrix unit in the frequency domain space of display foreground and the transfer function matrix multiple of filter obtain code stream matrix B SM, allow in the display foreground interested part pass through, and reach the purpose of image compression.The part of passing through is more many, and data volume is just more big, and the information of reservation is also just more many.The transfer function matrix is determined by concrete application, can be configured as the filter of different passbands on request.As shown in Figure 7 be a basic harmless filter transfer function, be suitable for image detail is had relatively high expectations, have the supervisory control system of image recognition requirement.As shown in Figure 8 be a low pass filter transfer function, be suitable for based on human eye vision, to the less demanding supervisory control system of details.As shown in Figure 9 be the transfer function of a high pass filter, be suitable for carrying out image the supervisory control system of contour extraction
After obtaining aforesaid code stream matrix B SM, image is handled coding module the element in each code stream matrix is read in order, becomes a series of serial datas: BSM(0,0), BSM(1,0), BSM(0,1), BSM(0,2), BSM(1,1), BSM(2,0), BSM(3,0), BSM(2,1), BSM(1,2), BSM(0,3).。。，BSM（16，16）。As shown in figure 10.Image is handled coding module and these serial datas is encoded with the Huffman of standard can't harm compression again, produces one group of new serial data BS{0:H}.Last this new serial data BS{0:H} further by the ARC4 cryptographic algorithm, produces final foreground image code stream F{0:S}, and deposits the prospect code stream subregion in the data stream buffer memory shown in the figure one in again according to the requirement of using.
The refresh rate that the background data that is obtained by IMAQ and prospect background separation module disposes according to concrete applied environment, pass through the step similar with above process, through obstructed transfer function matrix, produce background image code stream B{0:T}, and deposit the background code stream subregion in second buffer storage shown in Figure 1 in.Different with prospect code stream subregion is, in the free life-span of data in the background code stream subregion, time of staying overtime is after the life-span in background code stream subregion when background image code stream, and this code stream will be eliminated by transmission control module shown in Figure 1, no longer transmit.
Transmission control module is according to the setting of using, after in order foreground image code stream F{0:S} being read from second buffer storage according to certain data traffic, according to the form with IEEE802.3 agreement dual-purpose a F{0:S} coding is become a corresponding packet.For general application, supervisory control system is used independently communication network, and the CRC check sign indicating number of packet is produced by CRC-32-IEEE:X32+X26+X23+X22+X16+X12+X11+X10+X8+X7+X5+X4+X2+X+1 of standard.Such packet can be handled by general computer software.But some application scenario, monitor network may be mixed with other LAN, perhaps in order further to improve the confidentiality of monitor data, so that special-purpose watch-dog can be distinguished the image data packets of supervisory control system, can use CRC-32K:X32+X30+X29+X28+X26+X20+X19+X17+X16+X15+X11+X10+X7+X6+X4+X2+X+1 to produce the CRC check word of packet.
Transmission control module is preferential with the prospect code stream generally speaking, after whole prospect code streams send, reads background code stream B{0:T} again in background code stream district, uses different type of data packet to indicate, and behind the same coding of row, sends through network.In case the prospect code stream has data in the district, the transmission of background code stream will stop.For special applications, the transmission priority of prospect and background can be according to obstructed algorithm adjustment, to take into account the needs of data traffic and image synchronization.If the time of background code stream in buffering area surpasses the time lifetime that the background code stream allows, this background code stream will be eliminated.
Shown in figure 1-9, comprehensively be described as follows of the present invention: IMAQ and separation module obtain original image to optical system after the imaging collection on the imageing sensor, it is transformed to color space, carrying out prospect and background separation then handles, with current image date and reference image data through the row difference, obtain foreground image data, simultaneously current images and reference picture are comprehensively saved as the historical reference image, for the prospect background separation of following piece image is got ready.This module is according to factors such as environmental light intensities etc. simultaneously, adjusts exposure parameters such as the aperture of imageing sensor and shutter, adjusts the algorithm of IMAQ simultaneously, optimizes picture quality.The speed of IMAQ can be according to application requirements and environment for use adjustment, as per second 5 width of cloth to per second 60 width of cloth etc.
Image handle coding module the prospect of separating with after background is handled with different image compression algorithms respectively, and the prospect of handling and background data stored into respectively in the zones of different in first buffer storage, the COS conversion of dispersing then, through the filter relevant with using configuration, after the composition filtering of wanting or not in prospect and the background image, encode with lossless compression algorithm again, and encrypt.
Transmission control module according to communication protocol packing back prioritised transmission, afterwards, slowly transmits background data to the foreground data of handling again.The communication protocol here is and the form of Ethernet compatibility, and physical layer is to surpass five classes or six class netting twines, and data link and network layer are IEEE802.3 and ICP/IP protocol.During packing, prospect has different type of data packet or identification number with background.The transmission speed of foreground data mainly determines by the bandwidth of communication line, can be with to biography, or passes by markers.The transmission rate of background data can be according to the requirement adjustment of transmission bandwidth and memory space, and as per 5 seconds or complete background image of transmission in 10 seconds, the background image that is mainly used in preventing receiving terminal was lost because of communication failure and lost synchronously.In the application that has, can reach and transmit a width of cloth background image several hours.This module can be under the control of receiving terminal focuses on by the machine driving module and The Cloud Terrace operation etc. simultaneously.
" embodiment " who speaks of in this manual, " another embodiment ", " embodiment ", etc., refer to concrete feature, structure or the characteristics described in conjunction with this embodiment and be included among at least one embodiment that the application's generality describes.A plurality of local appearance statement of the same race is not necessarily to refer to same embodiment in specification.Furthermore, when describing a concrete feature, structure or characteristics in conjunction with arbitrary embodiment, what advocate is to realize that in conjunction with other embodiment this feature, structure or characteristics also fall within the scope of the invention.
Although invention has been described with reference to a plurality of explanatory embodiment of the present invention here, but, should be appreciated that those skilled in the art can design a lot of other modification and execution modes, these are revised and execution mode will drop within the disclosed principle scope and spirit of the application.More particularly, in the scope of, accompanying drawing open in the application and claim, can carry out multiple modification and improvement to building block and/or the layout of subject combination layout.Except modification that building block and/or layout are carried out with improving, to those skilled in the art, other purposes also will be tangible.
Claims (10)
1. an image processing method that is used for intelligent monitoring is characterized in that described method comprises the steps:
The raw image data that steps A, IMAQ and prospect background separation module collect image sensing module from the RGB color space to the YUV color notation conversion space, and then respectively corresponding component data in the Y in the original image after the conversion, U, V picture content data and the historical reference image is carried out difference processing, and deposit in respectively in the different subregions in the frame buffer;
Step B, the component data after from RGB to the YUV conversion are weighted on average with the respective component data of reference picture respectively, and the result is deposited in the reference picture buffering area as the reference picture of piece image down.
2. the image processing method for intelligent monitoring according to claim 1, it is characterized in that: described method comprises that also step C, image processing coding module are in the different buffer partitions of frame buffer, each buffer partitions further is divided into the square-shaped image component pixel piece of set pixel, and respectively in the enterprising row labels of diverse location.
3. the image processing method for intelligent monitoring according to claim 2, it is characterized in that: described method also comprises step D, after image processing coding module is divided into N set block of pixels respectively with the picture content block of pixels in the different buffer partitions in the frame buffer, each all pixel cell and non-vanishing block of pixels are carried out two-dimensional discrete COS conversion, with block of pixels from the two-dimensional geometry spatial alternation to two-dimentional frequency space, make it to become N DCT matrix, the DCT matrix multiplies each other with a transfer function matrix T FM who determines according to application requirements and applied environment again, is used for selecting interested characteristics of image.
4. the image processing method for intelligent monitoring according to claim 3 is characterized in that: described transfer function matrix T FM can form all-pass, low pass, the band pass filter of high pass according to the requirement adjustment of using.
5. the image processing method for intelligent monitoring according to claim 3, it is characterized in that: described method also comprises step e, image is handled coding module will be by transfer function matrix D CT and the resulting code stream matrix B of TFM matrix multiple SM, the Huffman algorithm of the harmless compression of employing further compresses code stream again, obtains final image code stream TBS by the ARC4 cryptographic algorithm with default secret key processing then.
6. the image processing method for intelligent monitoring according to claim 5 is characterized in that: described method comprises that also image code stream TBS that step F, transmission control module produce each block of pixels is encoded into a packet with the link-layer frame format compatible of IEEE802.3 Ethernet.
7. high-resolution camera that is used for intelligent monitoring is characterized in that described camera comprises:
Image sensing module, incoming image collection and prospect background separation module are used for that the ambient conditions in the sphere of action is converted to raw image data and transfer to IMAQ and prospect background separation module;
IMAQ and prospect background separation module, incoming image are handled coding module, are used for enforcement of rights and require 1 to 5 steps A and the step B described in any;
Image is handled coding module, and the incoming communication interface is used for enforcement of rights and requires 6 described step C to step F, and the view data after will separating by communication interface transfers to the image receiving terminal respectively.
8. the high-resolution camera for intelligent monitoring according to claim 7, it is characterized in that: comprise transmission control module in the described camera, described transmission control module incoming image is respectively handled coding module and communication interface, is used for enforcement of rights and requires 6 described step F.
9. according to claim 7 or 8 described high-resolution cameras for intelligent monitoring, it is characterized in that: described IMAQ and prospect background separation module and image are handled coding module and are also inserted first image buffer memory respectively, transfer to this first image buffer memory for background image data and foreground image data after will being separated by IMAQ and separation module, image processing coding module reads background image data from first image buffer memory and foreground image data is carried out the compressed encoding processing respectively.
10. the high-resolution camera for intelligent monitoring according to claim 9, it is characterized in that: described image is handled coding module and transmission control module also inserts second image buffer memory respectively, be used for transferring to second image buffer memory by the image code stream TBS that image processing coding module will finally obtain, transmission control module reading images code stream TBS from second image buffer memory carries out packet compiling and the transmission of control communication interface.
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