CN109636756A - A kind of WAVELET SYSTEMS of embedded image processing - Google Patents

A kind of WAVELET SYSTEMS of embedded image processing Download PDF

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CN109636756A
CN109636756A CN201811527446.4A CN201811527446A CN109636756A CN 109636756 A CN109636756 A CN 109636756A CN 201811527446 A CN201811527446 A CN 201811527446A CN 109636756 A CN109636756 A CN 109636756A
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image data
reconstructed
module
port
input
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CN109636756B (en
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袁庆
张远
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Shanghai IC R&D Center Co Ltd
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Shanghai Integrated Circuit Research and Development Center Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/63Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/63Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
    • H04N19/635Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by filter definition or implementation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • G06T2207/20064Wavelet transform [DWT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20221Image fusion; Image merging
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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Abstract

A kind of WAVELET SYSTEMS of embedded image processing disclosed by the invention, including j decomposing module, processing module and j reconstructed module, the processing module is between j decomposing module and j reconstructed module;Described image data successively pass through j decomposing module and are broken down into image data HH, HL, LH and LL, and be transmitted to described image processing module and handled, image data HH ', HL ', LH ' and the LL ' after handling successively are reconstructed into the image data after processing by j reconstructed module again.A kind of WAVELET SYSTEMS of embedded image processing provided by the invention, it is stored and processed by the way that image data to be classified, building one possesses the processing core of storage inside and processing capacity, multistage wavelet decomposition, image procossing and wavelet reconstruction are limited in processing core, effectively enhancing small echo handles multi-level reconfigurability, can adapt to different small echos, the wavelet transformation of base different levels and processing.

Description

A kind of WAVELET SYSTEMS of embedded image processing
Technical field
The present invention relates to digital circuit fields, and in particular to a kind of WAVELET SYSTEMS of embedded image processing.
Background technique
Wavelet transformation can obtain difference by the wavelet decomposition of different levels as the key technology in image procossing Horizontal detailed information.And wavelet basis simultaneously can effectively extract the spatial information and frequency information of image.And small During wave conversion, image size and amount of storage are constant.Therefore, wavelet transformation is in compression of images, image enhancement and figure As being widely used in fusion.
Typically, wavelet transformation and processing appear in software view or there are in the algorithm processor of massive store, In ISP or GPU.And Embedded scheme seldom occurs, reason is in Embedded image procossing that image data is stored with Limit, and there are larger difficulty for control for image data stream and image real time transfer.With image processing requirements and process water Flat raising is embedded in a simple small echo processing module how in CIS imaging sensor, completes filtering or the figure on basis As compression processing, bring into schedule gradually.
Summary of the invention
The object of the present invention is to provide a kind of WAVELET SYSTEMSs of embedded image processing, are stored by the way that image data to be classified And processing, building one possess the processing core of storage inside and processing capacity, by multistage wavelet decomposition, image procossing and small echo Reconstruct is limited in processing core, is effectively enhanced small echo and is handled multi-level reconfigurability, and it is different to can adapt to different small echos, base The wavelet transformation of level and processing.
To achieve the goals above, the present invention adopts the following technical scheme: a kind of embedded image processing WAVELET SYSTEMS, Including j decomposing module, processing module and j reconstructed module, the processing module is located at j decomposing module and j reconstruct mould Between block;Described image data successively pass through j decomposing module and are broken down into image data HH, HL, LH and LL, and are transmitted to institute It states image processing module to be handled, image data HH ', HL ', LH ' and the LL ' after handling successively pass through j reconstruct mould again Block is reconstructed into the image data after processing;
The image data of input is decomposed into image data HH by the decomposing modulei、HLi、LHiAnd LLi, wherein the 1st Decomposing module is starting decomposing module, carries out first layer decomposition to input image data, input image data decomposes mould by the 1st Block is broken down into image data HH0、HL0、LH0And LL0, and be transmitted in the 2nd decomposing module;2nd decomposing module is to jth The image data HH that a decomposing module transmits a upper decomposing modulei、HLiAnd LHiIt exports, while will be transmitted across as former state The image data LL comeiIt is further broken into as image data HHi+1、HLi+1And LHi+1;Wherein, i indicates that i+1 decomposes mould Block, 1≤i≤j-2;
Image data after successively being decomposed by j decomposing module is transmitted in viewdata signal processing module Image real time transfer is carried out, j reconstructed module is successively passed through in the image data transmission after handling, wherein j-th of reconstructed module To originate reconstructed module, decomposite for j-th of decomposing module after viewdata signal processing module is handled will to be passed through Image data HHj-1’、HLj-1’、LHj-1' and LLj-1' be reconstructed, -1 reconstructed module of jth to the 1st reconstructed module is distinguished Corresponding decomposing module is decomposited to be image data HHi、HLi、LHiAnd LLiIt is reconstructed, wherein i indicates i+1 weight Structure module, 1≤i≤j-2;J is the decomposed class and reconstruct series of Wavelet Processing System, 1≤j.
Further, the 1st decomposing module exports image data HH0、HL0、LH0And LL0
2nd decomposing module exports image data HH0、HL0、LH0、HH1、HL1、LH1And LL1, wherein described image Data HH1、HL1、LH1And LL1For image data LL0The image data exported by the 2nd decomposing module;
3rd decomposing module exports image data HH0、HL0、LH0、HH1、HL1、LH1、HH2、HL2、LH2And LL2, In, described image data HH2、HL2、LH2And LL2For image data LL1The image data exported by the 3rd decomposing module;
Until j-th of decomposing module exports image data HH0、HL0、LH0、HH1、HL1、LH1、HH2、HL2、LH2…… HHj-1、HLj-1、LHj-1And LLj-1, wherein described image data HHj-1、HLj-1、LHj-1And LLj-1For image data LLj-2By The image data of j-th of decomposing module output;
The image data of j-th of decomposing module output is handled and is exported by described image processing module, and described Signal processing module exports image data HH0’、HL0’、LH0’、HH1’、HL1’、LH1’、HH2’、HL2’、LH2’……HHj-1’、 HLj-1’、LHj-1' and LLj-1’。
Further, j-th of reconstructed module exports image data HH0’、HL0’、LH0’、HH1’、HL1’、LH1’、 HH2’、HL2’、LH2’……HHj-2’、HLj-2’、LHj-2' and LLj-2', wherein image data HHj-1’、HLj-1’、LHj-1' and LLj-1' it is reconstructed into image data LL by j-th of reconstructed modulej-2';
- 1 reconstructed module of the jth exports image data HH0’、HL0’、LH0’、HH1’、HL1’、LH1’、HH2’、HL2’、 LH2’……HHj-3’、HLj-3’、LHj-3' and LLj-3', wherein image data HHj-2’、HLj-2’、LHj-2' and LLj-2' by the J-1 reconstructed module is reconstructed into image data LLj-3';
Until the 2nd reconstructed module exports image data HH0’、HL0’、LH0' and LL0', wherein image data HH1’、 HL1’、LH1And LL1' it is reconstructed into image data LL by the 2nd reconstructed module0';
Image data after 1st reconstructed module output processing, wherein image data HH0’、HL0’、LH0' and LL0’ The image data after processing is reconstructed by the 1st reconstructed module.
Further, the decomposing module include decompose image data-in port, do not decompose image data input mouth, Control signal input mouth decomposes image data-out port, does not decompose image data output port and control signal output Mouthful;The image data that the decomposition image data-in port and decomposition image data-out port are output and input is respectively to need The image data decomposed and the image data decomposed by decomposing module;It is described do not decompose image data input mouth and Not decomposing the image data that image data output port is output and input is the image data for not needing to be decomposed;Decomposing module In decomposition image data-out port, do not decompose image data output port and control signal output mouth be separately connected it is next The decomposition image data-in port of decomposing module does not decompose image data input mouth and control signal input mouth;
The reconstructed module includes reconstructed image data input port, not reconstructed image data input port, control signal Input port, reconstructed image data output port, not reconstructed image data output port and control signal output mouth;It is described heavy The image data that composition is output and input as data-in port and reconstructed image data output port is respectively to need to carry out weight The image data of structure and the image data decomposed by reconstructed module;The not reconstructed image data input port and non-reconstruct image The image data output and input as data-out port is the image data for not needing to be reconstructed;Reconstruct in reconstructed module Image data output port, not reconstructed image data output port and control signal output mouth are separately connected next reconstructed module Reconstructed image data input port, not reconstructed image data input port and control signal input mouth.
Further, the decomposing module includes memory control unit I, decomposition unit, decomposes control unit and picture number According to identifier generating unit I;The decomposition control unit connects simultaneously and controls the memory control unit I and image data mark Know symbol and generates unit I;The input port of the memory control unit I connects the decomposition image data-in port of the decomposing module Image data input mouth is not decomposed, and output port connects the reconstructed image data output port of the decomposition unit and do not weigh Composition is as data-out port, and the memory control unit I connects storage region I, for distributing the storage of input image data It is read out with to storage image data;It is single that the input port that described image data identifier generates unit I connects the decomposition The control signal input mouth of member, the output port that described image data identifier generates unit I connect the decomposition unit Control signal output mouth, for generating the image data id signal of decomposition unit.
Further, include delay subelement I in the decomposition unit, the decomposing module not decompose image data defeated The image data of inbound port input, which passes through the delay subelement I and do not decompose image data output port, to be exported.
Further, the storage region I includes that the storage of row data and frame level do not store, and the length of the wavelet basis is N, When N is odd number greater than 1, storage region I stores the line number of N row accordingly and the other data of the frame level of (N-1)/2 row;When N is big When 1 even number, storage region I stores the line number of storage N row accordingly and the other data of the frame level of N/2 row.
Further, the reconstructed module includes memory control unit II, reconfiguration unit, reconfigurable control unit and picture number According to identifier generating unit II;The reconfigurable control unit connects simultaneously and controls the memory control unit II and image data Identifier generating unit II;The input port of the memory control unit II connects the reconstructed image data input of the reconstructed module Port and not reconstructed image data input port, output port connect the reconfiguration unit reconstructed image data output port and Not reconstructed image data output port, the memory control unit II connects storage region II, for distributing input image data Storage and to storage image data be read out;Described image data identifier generates described in the input port connection of unit II The control signal input mouth of reconfiguration unit, the output port that described image data identifier generates unit II connect the reconstruct The control signal output mouth of unit, for generating the image data id signal of reconfiguration unit.
It further, include delay subelement II, the not reconstructed image data of the reconstructed module in the reconfiguration unit The image data of input port input passes through the delay subelement and reconstructed image data output port is not exported.
Further, the storage region II includes that the storage of row data and frame level do not store, and the length of the wavelet basis is N, when N is odd number greater than 1, storage region II stores the line number of N row accordingly and the other data of the frame level of (N-1)/2 row;When N is When even number greater than 1, storage region II stores the line number of storage N row accordingly and the other data of the frame level of N/2 row.
The invention has the benefit that being stored and processed by the way that image data to be classified, building one possesses storage inside With the processing core of processing capacity, multistage wavelet decomposition, image procossing and wavelet reconstruction are limited in processing core, effectively enhanced Small echo handles multi-level reconfigurability, can adapt to different small echos, the wavelet transformation of base different levels and processing.By depositing The image data of certain line number is stored up, wshift operation in wavelet transformation is completed, while reducing boundary influences result, is kept The problem of overview image data volume, and reach wavelet decomposition and reconstruct to general image.
Detailed description of the invention
Attached drawing 1 is two-dimensional structure wavelet decomposition result schematic diagram.
Attached drawing 2 is the data flow of embedded image of the present invention processing.
Attached drawing 3 is the frame diagram of the WAVELET SYSTEMS of embedded image of the present invention processing.
Attached drawing 4 is the schematic diagram of decomposing module in the present invention.
Attached drawing 5 is the schematic diagram of reconstructed module in the present invention.
Attached drawing 6 is that wavelet basis length is 6 and the schematic diagram decomposed and reconstituted by two-stage in specific embodiment.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, with reference to the accompanying drawing to specific reality of the invention The mode of applying is described in further detail.
Image wavelet transform, that is, two-dimensional wavelet transformation is that one-dimensional wavelet transform is applied to the horizontal and vertical of image array Direction, to construct two dimensional scaling functionWith three 2-d wavelet ψH(x, y), ψV(x, y), ψD(x,y)。
It as shown in Fig. 1, is output image data of the image data after multi-level wavelet transform.Image data is by single After grade wavelet decomposition, tetra- width image of HH0, HL0, LH0 and LL0 is generated, wherein LL0 will continue to carry out small wavelength-division in next stage Solution generates HH1, HL1, LH1 and LL1.And repetitive operation, LL1 is decomposed.Generate new decomposition image vector.? During constantly decomposing, the total size of image data is constant, and image data total amount is constant.During wavelet reconstruction, into The opposite operation of row, generates new LL layer every time.Image data total amount is still constant.
Based on this, designed image row storage organization, wherein the row and column in image data can be interchanged.Please refer to attached drawing 2 With attached drawing 3, the present invention includes j decomposing module, processing module and j reconstructed module, processing module be located at j decomposing module with Between j reconstructed module;Image data successively pass through j decomposing module be broken down into and, and be transmitted to image processing module It is handled, image data that is after handling and being successively reconstructed into again by j reconstructed module after processing;
The image data of input is decomposed into image data HH, HL, LH and LL by decomposing module, and is transmitted to image procossing mould Block is handled, and image data HH ', HL ', LH ' and the LL ' after handling successively are reconstructed into processing by j reconstructed module again Image data later;
The image data of input is decomposed into image data HH by decomposing modulei、HLi、LHiAnd LLi, wherein the 1st decomposition Module is starting decomposing module, carries out first layer decomposition to input image data, input image data passes through the 1st decomposing module quilt It is decomposed into image data HH0、HL0、LH0And LL0, and be transmitted in the 2nd decomposing module;2nd decomposing module is to j-th point The image data HH that solution module transmits a upper decomposing modulei、HLiAnd LHiIt exports, while will transmit as former state Image data LLiIt is further broken into as image data HHi+1、HLi+1And LHi+1;Wherein, i expression i+1 decomposing module, 1 ≤i≤j-2;
Image data after successively being decomposed by j decomposing module is transmitted in viewdata signal processing module Image real time transfer is carried out, j reconstructed module is successively passed through in the image data transmission after handling, wherein j-th of reconstructed module To originate reconstructed module, decomposite for j-th of decomposing module after viewdata signal processing module is handled will to be passed through Image data HHj-1’、HLj-1’、LHj-1' and LLj-1' be reconstructed, -1 reconstructed module of jth to the 1st reconstructed module is distinguished Corresponding decomposing module is decomposited to be image data HHi、HLi、LHiAnd LLiIt is reconstructed, wherein i indicates i+1 weight Structure module, 1≤i≤j-2;J is the decomposed class and reconstruct series of Wavelet Processing System, 1≤j.
Referring specifically to attached drawing 2 and attached drawing 3, the 1st decomposing module exports image data HH0、HL0、LH0And LL0;2nd Decomposing module exports image data HH0、HL0、LH0、HH1、HL1、LH1And LL1, wherein image data HH1、HL1、LH1And LL1For Image data LL0The image data exported by the 2nd decomposing module;3rd decomposing module exports image data HH0、HL0、 LH0、HH1、HL1、LH1、HH2、HL2、LH2And LL2, wherein image data HH2、HL2、LH2And LL2For image data LL1By The image data of 3 decomposing modules output;Until j-th of decomposing module exports image data HH0、HL0、LH0、HH1、HL1、LH1、 HH2、HL2、LH2……HHj-1、HLj-1、LHj-1And LLj-1, wherein image data HHj-1、HLj-1、LHj-1And LLj-1For picture number According to LLj-2The image data exported by j-th of decomposing module.
The image data of j-th of decomposing module output is handled and is exported by image processing module, and signal processing Module output is image data HH0’、HL0’、LH0’、HH1’、HL1’、LH1’、HH2’、HL2’、LH2’……HHj-1’、HLj-1’、 LHj-1' and LLj-1’。
J-th of reconstructed module exports image data HH0’、HL0’、LH0’、HH1’、HL1’、LH1’、HH2’、HL2’、 LH2’……HHj-2’、HLj-2’、LHj-2' and LLj-2', wherein image data HHj-1’、HLj-1’、LHj-1' and LLj-1' pass through jth A reconstructed module is reconstructed into image data LLj-2';- 1 reconstructed module of jth exports image data HH0’、HL0’、LH0’、HH1’、 HL1’、LH1’、HH2’、HL2’、LH2’……HHj-3’、HLj-3’、LHj-3' and LLj-3', wherein image data HHj-2’、HLj-2’、 LHj-2' and LLj-2' it is reconstructed into image data LL by -1 reconstructed module of jthj-3';Until the 2nd reconstructed module exports image Data HH0’、HL0’、LH0' and LL0', wherein image data HH1’、HL1’、LH1And LL1' be reconstructed by the 2nd reconstructed module Image data LL0';Image data after 1st reconstructed module output processing, wherein image data HH0’、HL0’、LH0' and LL0' pass through the image data that the 1st reconstructed module is reconstructed into after processing.
In the present invention during above-mentioned decomposition, do not need to be decomposed in the image data of each decomposing module output Image data occupy that original position is motionless, the image data for needing to be decomposed is decomposed into new image data, and is stored in On the position for the image data being decomposed;Total amount of data is constant in whole process, only by the data in image data into The process that row classification is reset.During reconstruct and identical storage principle, need to be reconstructed in each reconstructed module Image data occupy after reconstruction before each image data position, until be finally reconstructed into processing after picture number According to.
Attached drawing 3 is please referred to, decomposing module includes decomposing image data-in port D in the present inventioni_ IN, image is not decomposed Data-in port DUPi_ IN, control signal input mouth CTRLi_ IN, image data-out port D is decomposedi_ OUT, it does not decompose Image data output port DUPi_ OUT and control signal output mouth CTRLi_OUT;Decompose image data-in port and decomposition The image data and pass through decomposition mould that the image data that image data output port is output and input is decomposed The image data that block decomposes;Image data input mouth is not decomposed and does not decompose the figure that image data output port is output and input As data are the image data for not needing to be decomposed;Decomposition image data-out port in decomposing module does not decompose image Data-out port and control signal output mouth be separately connected next decomposing module decomposition image data-in port, regardless of Xie Tuxiangshuojushuruduankou and control signal input mouth.Reconstructed module includes reconstructed image data input port Bi_ IN, no Reconstructed image data input port B UPi_ IN, control signal input mouth CTRLOi_ IN, reconstructed image data output port Bi_ OUT, not reconstructed image data output port BUPi_ OUT and control signal output mouth CTRLOi_OUT;Reconstructed image data is defeated The image data that the image data that inbound port and reconstructed image data output port are output and input respectively needs to be reconstructed With the image data decomposed by reconstructed module;Not reconstructed image data input port and reconstructed image data output port is not defeated The image data for entering and exporting is the image data for not needing to be reconstructed;Reconstructed image data output end in reconstructed module Mouth, reconstructed image data output port and control signal output mouth are not separately connected the reconstructed image data of next reconstructed module Input port, not reconstructed image data input port and control signal input mouth.
It as shown in Fig. 4, is the schematic diagram of above-mentioned decomposing module, due to the diagram of only one decomposition unit, in attached drawing 4 By the decomposition image data-out port of i-stage decomposing module, image data output port and control signal output are not decomposed The pictorial data representation that mouth inputs respectively are as follows: Di_ OUT, DUPi_ OUT and CTRLi_OUT。
Decomposing module includes memory control unit I, decomposition unit, decomposes control unit and image data identifier generation list Member I;Control unit is decomposed to connect simultaneously and control memory control unit I and image data identifier generating unit I;Memory control The input port of unit I connects the decomposition image data-in port of the decomposing module and does not decompose image data input mouth, The reconstructed image data output port of output port connection decomposition unit and not reconstructed image data output port, Memory control list Member I connects storage region I, for distributing the storage of input image data and being read out to storage image data;Image data The control signal input mouth of the input port connection decomposition unit of identifier generating unit I, image data identifier generates single The control signal output mouth of the output port connection decomposition unit of member I, the image data for generating decomposition unit identify letter Number,
It should be pointed out that since wavelet transformation needs to guarantee that image data total amount is constant, it is necessary to carry out wshift behaviour Make.For each frame image, (due to down-sampled, image data total amount is needed except 2 behaviour the calculated result of several rows of storage beginning Make), and read from storage region finally, it is added with the calculated result of last rows, to reduce boundary to image procossing Influence.Referring specifically in attached drawing 4, storage region I includes that the storage of row data and frame level do not store, and the length of wavelet basis is N, When N is odd number greater than 1, storage region I stores the line number of N row accordingly and the other data of the frame level of (N-1)/2 row;When N is big When 1 even number, storage region I stores the line number of storage N row accordingly and the other data of the frame level of N/2 row.
It is worth noting that the row storage for storing the other image data of frame level, can save in the 1st decomposing module Slightly, therefore, storage region only needs to store the image data of N row in the 1st grade of decomposing module.
It wherein, include delay subelement I in decomposition unit, decomposing module does not decompose what image data input mouth inputted Image data is exported by postponing subelement I and not decomposing image data output port.
As shown in Fig. 5, due to the diagram of only one reconfiguration unit, by the reconstruct image of i-stage reconstructed module in attached drawing 4 As data-out port, the pictorial data representation that reconstructed image data output port and control signal output mouth do not input respectively Are as follows: Bi_ OUT, BUPi_ OUT and CTRLOi_OUT。
Reconstructed module includes that memory control unit II, reconfiguration unit, reconfigurable control unit and image data identifier generate Unit II;Reconfigurable control unit connects simultaneously and controls memory control unit II and image data identifier generating unit II;It is interior The input port for depositing control unit II connects the reconstructed image data input port of the reconstructed module and reconstructed image data is not defeated Inbound port, the reconstructed image data output port of output port connection reconfiguration unit and not reconstructed image data output port are interior It deposits control unit II and connects storage region II, for distributing the storage of input image data and reading storage image data It takes;The control signal input mouth of the input port connection reconfiguration unit of image data identifier generating unit II, image data The control signal output mouth of the output port connection reconfiguration unit of identifier generating unit II, for generating the figure of reconfiguration unit As Data Identification signal.
It wherein, include delay subelement II, the not reconstructed image data input port input of reconstructed module in reconfiguration unit Image data by delay subelement and reconstructed image data output port is not exported.
The reason similar with decomposing module, since wavelet transformation needs to guarantee that image data total amount is constant, it is necessary to carry out Wshift operation.For each frame image, (due to down-sampled, image data total amount needs the calculated result of several rows of storage beginning Will be except 2 operations), and read from storage region finally, it is added with the calculated result of last rows, to reduce boundary to figure As the influence of processing.Referring specifically in attached drawing 5, storage region II includes that the storage of row data and frame level do not store, wavelet basis Length is N, and when N is odd number greater than 1, storage region II stores the line number of N row accordingly and the frame number of levels of (N-1)/2 row According to;When N is even number greater than 1, storage region II, which store, stores the line number of N row accordingly and the other data of the frame level of N/2 row.
The port of processing module and decomposing module are essentially identical in the present invention, and specific structure can be according to processing module Processing mode etc. is specifically determined, unquestionable, is also needed that image data will be handled in processing module and is not located Reason image data distinguishes.
As shown in Fig. 6, be wavelet basis length it is 6, and decomposes by two-stage and the Embedded Wavelet circuit of two-stage reconstruct. The decomposition image data-in port of 1st grade of decomposing module does not decompose image data input mouth and control signal input mouth The pictorial data representation inputted respectively are as follows: D1_ IN, DUP1_ IN and CTRL1_ IN, due to the decomposition picture number of the 1st grade of decomposing module According to output port, image data output port is not decomposed and control signal output mouth is separately connected point of the 2nd grade of decomposing module Xie Tuxiangshuojushuruduankou, image data input mouth and control signal input mouth are not decomposed, so the 2nd grade of decomposing module Decomposition image data-in port, do not decompose the image that image data input mouth and control signal input mouth input respectively Data are expressed as: D2_ IN, DUP2_ IN and CTRL2_ IN, the decomposition image data-out port of the 2nd grade of decomposing module do not decompose The image data that image data output port and control signal output mouth are exported respectively indicates are as follows: D2_ OUT, DUP2_ OUT and CTRL2_ OUT, and be passed through the decomposition image data-in port of processing module ISP, do not decompose image data input mouth and control In signal input port processed, the reconstructed image data output port of processing module ISP, not reconstructed image data output port and control Signal input port processed is separately connected that the 2nd grade of reconstructed module includes reconstructed image data input port, reconstructed image data is not defeated Inbound port and control signal input mouth.The reconstructed image data input port of 2nd grade of reconstructed module, reconstructed image data is not defeated The pictorial data representation that inbound port and control signal input mouth input respectively are as follows: B2_ IN, BUP2_ IN and CTRLO2_ IN, due to The reconstructed image data output port of 2nd grade of reconstructed module, not reconstructed image data output port and control signal output mouth It is separately connected reconstructed image data input port, not reconstructed image data input port and the control signal of the 1st grade of reconstructed module Input port, so the reconstructed image data input port of the 1st grade of reconstructed module, not reconstructed image data input port and control The pictorial data representation that signal input port inputs respectively are as follows: B1_ IN, BUP1_ IN and CTRLO1_ IN, the 1st grade of reconstructed module The picture number that reconstructed image data output port, not reconstructed image data output port and control signal output mouth input respectively According to expression are as follows: B1_ OUT, BUP1_ OUT and CTRLO1_ OUT, wherein B1_ OUT and BUP1_ OUT is respectively indicated by small wave circuit point Solution reconstruct after image data and without process decomposed and reconstituted image data.
Due to the row storage for storing the other image data of frame level, can be omitted in the 1st grade of decomposing module, therefore, the 1st Storage region only needs to store the image data of 6 rows in grade decomposing module.
The above description is only a preferred embodiment of the present invention, and the embodiment is not intended to limit patent protection of the invention Range, thus it is all with the variation of equivalent structure made by specification and accompanying drawing content of the invention, it similarly should be included in this In the protection scope of invention appended claims.

Claims (10)

1. a kind of WAVELET SYSTEMS of embedded image processing, which is characterized in that including j decomposing module, processing module and j weight Structure module, the processing module is between j decomposing module and j reconstructed module;Described image data successively pass through j points Solution module is broken down into image data HH, HL, LH and LL, and is transmitted to described image processing module and is handled, after processing Image data HH ', HL ', LH ' and LL ' again successively by j reconstructed module be reconstructed into handle after image data;
The image data of input is decomposed into image data HH by the decomposing modulei、HLi、LHiAnd LLi, wherein the 1st decomposition mould Block is starting decomposing module, carries out first layer decomposition to input image data, input image data is divided by the 1st decomposing module Solution is image data HH0、HL0、LH0And LL0, and be transmitted in the 2nd decomposing module;2nd decomposing module to j-th decompose The image data HH that module transmits a upper decomposing modulei、HLiAnd LHiIt exports as former state, while the figure that will be transmitted As data LLiIt is further broken into as image data HHi+1、HLi+1And LHi+1;Wherein, i indicates i+1 decomposing module, 1≤i ≤j-2;
Image data after successively being decomposed by j decomposing module, which is transmitted in viewdata signal processing module, to be carried out J reconstructed module is successively passed through in image real time transfer, the image data transmission after handling, wherein j-th of reconstructed module be Beginning reconstructed module decomposites the figure come for that will pass through j-th of decomposing module after viewdata signal processing module is handled As data HHj-1’、HLj-1’、LHj-1' and LLj-1' be reconstructed, -1 reconstructed module of jth to the 1st reconstructed module respectively will be right It answers decomposing module to decomposite to be image data HHi、HLi、LHiAnd LLiIt is reconstructed, wherein i indicates that i+1 reconstructs mould Block, 1≤i≤j-2;J is the decomposed class and reconstruct series of Wavelet Processing System, 1≤j.
2. a kind of WAVELET SYSTEMS of embedded image processing according to claim 1, which is characterized in that described 1st point It solves module and exports image data HH0、HL0、LH0And LL0
2nd decomposing module exports image data HH0、HL0、LH0、HH1、HL1、LH1And LL1, wherein described image data HH1、HL1、LH1And LL1For image data LL0The image data exported by the 2nd decomposing module;
3rd decomposing module exports image data HH0、HL0、LH0、HH1、HL1、LH1、HH2、HL2、LH2And LL2, wherein institute State image data HH2、HL2、LH2And LL2For image data LL1The image data exported by the 3rd decomposing module;
Until j-th of decomposing module exports image data HH0、HL0、LH0、HH1、HL1、LH1、HH2、HL2、LH2……HHj-1、 HLj-1、LHj-1And LLj-1, wherein described image data HHj-1、HLj-1、LHj-1And LLj-1For image data LLj-2By j-th The image data of decomposing module output;
The image data of j-th of decomposing module output is handled and is exported by described image processing module, and the signal Processing module exports image data HH0’、HL0’、LH0’、HH1’、HL1’、LH1’、HH2’、HL2’、LH2’……HHj-1’、HLj-1’、 LHj-1' and LLj-1’。
3. a kind of WAVELET SYSTEMS of embedded image processing according to claim 2, which is characterized in that j-th of weight Structure module exports image data HH0’、HL0’、LH0’、HH1’、HL1’、LH1’、HH2’、HL2’、LH2’……HHj-2’、HLj-2’、 LHj-2' and LLj-2', wherein image data HHj-1’、HLj-1’、LHj-1' and LLj-1' it is reconstructed into image by j-th of reconstructed module Data LLj-2';
- 1 reconstructed module of the jth exports image data HH0’、HL0’、LH0’、HH1’、HL1’、LH1’、HH2’、HL2’、 LH2’……HHj-3’、HLj-3’、LHj-3' and LLj-3', wherein image data HHj-2’、HLj-2’、LHj-2' and LLj-2' by the J-1 reconstructed module is reconstructed into image data LLj-3';
Until the 2nd reconstructed module exports image data HH0’、HL0’、LH0' and LL0', wherein image data HH1’、HL1’、LH1、 And LL1' it is reconstructed into image data LL by the 2nd reconstructed module0';
Image data after 1st reconstructed module output processing, wherein image data HH0’、HL0’、LH0' and LL0' by the 1 reconstructed module is reconstructed into the image data after processing.
4. a kind of WAVELET SYSTEMS of embedded image processing according to claim 1, which is characterized in that the decomposing module Including decomposing image data-in port, not decomposing image data input mouth, control signal input mouth, decomposition image data Output port does not decompose image data output port and control signal output mouth;The decomposition image data-in port and The image data and warp that the image data that decomposition image data-out port is output and input is decomposed are excessive Solve the image data of decomposition module;It is described do not decompose image data input mouth and do not decompose image data output port input and The image data of output is the image data for not needing to be decomposed;Decomposition image data-out port in decomposing module, no It decomposes image data-out port and control signal output mouth is separately connected the decomposition image data input of next decomposing module Port does not decompose image data input mouth and control signal input mouth;
The reconstructed module includes reconstructed image data input port, not reconstructed image data input port, control signal input Port, reconstructed image data output port, not reconstructed image data output port and control signal output mouth;The reconstruct image The image data output and input as data-in port and reconstructed image data output port is respectively to need to be reconstructed Image data and the image data decomposed by reconstructed module;The not reconstructed image data input port and non-reconstructed image number It is the image data for not needing to be reconstructed according to the image data that output port is output and input;Reconstructed image in reconstructed module Data-out port, not reconstructed image data output port and control signal output mouth are separately connected the weight of next reconstructed module Composition as data-in port, not reconstructed image data input port and control signal input mouth.
5. a kind of WAVELET SYSTEMS of embedded image processing according to claim 4, which is characterized in that the decomposing module Including memory control unit I, decomposition unit, decompose control unit and image data identifier generating unit I;The decomposition control Unit connects simultaneously and controls the memory control unit I and image data identifier generating unit I;The memory control unit I input port connects the decomposition image data-in port of the decomposing module and does not decompose image data input mouth, output Port connects the reconstructed image data output port and not reconstructed image data output port of the decomposition unit, the memory control Unit I processed connects storage region I, for distributing the storage of input image data and being read out to storage image data;It is described The input port of image data identifier generating unit I connects the control signal input mouth of the decomposition unit, described image The output port that data identifier generates unit I connects the control signal output mouth of the decomposition unit, for generating decomposition The image data id signal of unit.
6. a kind of WAVELET SYSTEMS of embedded image processing according to claim 5, which is characterized in that the decomposition unit In include delay subelement I, the decomposing module do not decompose image data input mouth input image data pass through described in Postpone subelement I and do not decompose image data output port to be exported.
7. a kind of WAVELET SYSTEMS of embedded image processing according to claim 5, which is characterized in that the storage region I includes that the storage of row data and frame level do not store, and the length of the wavelet basis is N, when N is the odd number greater than 1, storage region I Store the line number of N row accordingly and the other data of the frame level of (N-1)/2 row;When N is the even number greater than 1, the storage storage of storage region I The line number of N row is accordingly and the other data of the frame level of N/2 row.
8. a kind of WAVELET SYSTEMS of embedded image processing according to claim 4, which is characterized in that the reconstructed module Including memory control unit II, reconfiguration unit, reconfigurable control unit and image data identifier generating unit II;The reconstruct control Unit processed connects simultaneously and controls the memory control unit II and image data identifier generating unit II;The Memory control The input port of unit II connects the reconstructed image data input port and not reconstructed image data input port of the reconstructed module, Output port connects the reconstructed image data output port and not reconstructed image data output port of the reconfiguration unit, it is described in It deposits control unit II and connects storage region II, for distributing the storage of input image data and reading storage image data It takes;The input port that described image data identifier generates unit II connects the control signal input mouth of the reconfiguration unit, The output port that described image data identifier generates unit II connects the control signal output mouth of the reconfiguration unit, is used for Generate the image data id signal of reconfiguration unit.
9. a kind of WAVELET SYSTEMS of embedded image processing according to claim 8, which is characterized in that the reconfiguration unit In include delay subelement II, the reconstructed module not reconstructed image data input port input image data pass through described in Postpone subelement and reconstructed image data output port is not exported.
10. a kind of WAVELET SYSTEMS of embedded image processing according to claim 8, which is characterized in that the memory block Domain II includes that the storage of row data and frame level do not store, and the length of the wavelet basis is N, when N is the odd number greater than 1, memory block Domain II stores the line number of N row accordingly and the other data of the frame level of (N-1)/2 row;When N is the even number greater than 1, storage region II is deposited The line number of storage storage N row is accordingly and the other data of the frame level of N/2 row.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120128199A1 (en) * 2009-06-04 2012-05-24 A.T Communications Co., Ltd. Watermark information embedding device, watermark information processing system, watermark information embedding method, and program
CN105303535A (en) * 2015-11-15 2016-02-03 中国人民解放军空军航空大学 Global subdivision pyramid model based on wavelet transformation
CN107491747A (en) * 2017-08-08 2017-12-19 西南大学 Face Forecasting Methodology based on regression analysis and wavelet transformation
CN108986074A (en) * 2018-06-12 2018-12-11 中国矿业大学 A kind of underground coal mine image processing method based on piecemeal Corresponding Sparse Algorithm

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120128199A1 (en) * 2009-06-04 2012-05-24 A.T Communications Co., Ltd. Watermark information embedding device, watermark information processing system, watermark information embedding method, and program
CN105303535A (en) * 2015-11-15 2016-02-03 中国人民解放军空军航空大学 Global subdivision pyramid model based on wavelet transformation
CN107491747A (en) * 2017-08-08 2017-12-19 西南大学 Face Forecasting Methodology based on regression analysis and wavelet transformation
CN108986074A (en) * 2018-06-12 2018-12-11 中国矿业大学 A kind of underground coal mine image processing method based on piecemeal Corresponding Sparse Algorithm

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