CN100470641C - Method for improving precision of volume holographic correlator by image pretreatment - Google Patents
Method for improving precision of volume holographic correlator by image pretreatment Download PDFInfo
- Publication number
- CN100470641C CN100470641C CNB2007100635090A CN200710063509A CN100470641C CN 100470641 C CN100470641 C CN 100470641C CN B2007100635090 A CNB2007100635090 A CN B2007100635090A CN 200710063509 A CN200710063509 A CN 200710063509A CN 100470641 C CN100470641 C CN 100470641C
- Authority
- CN
- China
- Prior art keywords
- image
- sub
- piece
- rule
- cloth
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Abstract
It is a method to improve the holographic accuracy through image preprocessing, belonging to the optical information processing. Select a staggered block rules, numbering rules and rearrangement rules; In accordance with the established rules, each piece of the P-Q format image is divided into J block; in accordance with the numbering rules of the images, each sub-block J is numbered; in accordance with the rearrangement rules, the a (n) sub-block is placed in the location of block numbered n, finally to form N new images; store into related; input an real-time image; block, number, rearrangement, store into related; read results; repeat steps (6) to (11) to get the next input real-time image and the results of image until no new real-time image is inputted; complete the increase of holographic image associated accuracy through image preprocessing. In experiments that compare the original images and the results of staggered graphs, it is found that the method in the invention can improve holographic output accuracy.
Description
Technical field
The present invention relates to a kind ofly improve the method for precision of volume holographic correlator, can be used for the related operation, retrieval, coupling of image, data page etc., belong to the optical information processing field by the image pre-service.
Background technology
Optical correlators normally make up based on the Fourier transform property of lens.Vander Lugt optical correlators are that (accompanying drawing l is depicted as the schematic diagram of body holography correlator to a kind of common 4-F lens combination of utilizing, lens combination is seen 101 and 103 in the accompanying drawing 1) optical correlators that make up, this optical correlators can provide two width of cloth images in output face cross correlation function distributes, the advantage that have at a high speed, height walks abreast.But it is single pass that this optical correlators remain in essence, and once input can only be finished the related operation between two width of cloth images, provides the measuring similarity of this two width of cloth image.
The holographic correlation technique of body derives from body holographic memory and optical correlators technology, shown in accompanying drawing l, body holography correlator shown in the accompanying drawing 1 is by input picture 100, fourier transform lens 101, body holographic storage material 102, inverse-Fourier transform lens 103, the output face 104 of body holography correlator and the storehouse image 105 that is stored in 102 are formed.The holographic correlation technique of body is stored the Fourier transform spectrum of multiple image 105 in having certain thickness body holographic storage material 102 by multiplex technique, constitute a multiple filter, and replaced spatial filter plate in the Vander Lugt optical correlators with this multiple filter, body holography correlator just can carry out computing cross-correlation (multi-channel parallel is relevant) with multiple image (storehouse image) in being stored in material simultaneously with the image 100 of input like this.Theoretical analysis shows that the optical field distribution in body holography correlator output face 104 is
As can be seen from the above equation, because the existence of material thickness t makes the cross correlation function of input picture and every width of cloth storehouse image all be subjected to the modulation of sinc function, that is " secondary lobe " in the simple crosscorrelation distribution (except that true origin have a few) is suppressed.That is to say each single passage is compared with the traditional optical correlator that the relevant peaks of the cross correlation function of output has narrowed down greatly, this just makes that under certain channel spacing can walk abreast in the output face does not have the correlated results of each passage of output with crosstalking.
The existence of secondary lobe makes channel spacing be restricted, and this has influenced the parallel channel number of body holography correlator greatly, also can influence the output accuracy of each passage.By increasing methods such as material thickness, out of focus storage, random phase modulation, suppressed sidelobes further, the relevant peaks of sharpening related function, thus improve parallel channel density and output accuracy significantly.When secondary lobe is pressed abundantly, can think that the output of body holography correlator just is approximately well
At this moment, the output of correlator deteriorates to a dot matrix, and the brightness of each luminous point is proportional to the inner product value of input picture and storehouse image.Because do not had secondary lobe to crosstalk between the reference point, channel spacing can reduce significantly, the parallel channel number increases greatly, and body holography correlator just becomes the parallel inner product operation device of an optical multichannel.The characteristics that this multi-channel parallel of body holography correlator is relevant all are widely used it in fields such as multiple goal identification, optical neural network, database retrieval.
In holographic relevant (inner product) device of body, the correlated results of two width of cloth images is to represent by the brightness of reference point in the output face.Though can the sharpening relevant peaks by increasing methods such as material thickness, out of focus storage, random phase modulation, image subtraction, adding background light intensity, the influence that brings of the contrast that overcomes spatial light modulator and CCD and dynamic range, make the brightness of reference point more approach the theoretical inner product value of two width of cloth images, output accuracy is improved.Yet, because cross correlation function shape difference that input pattern difference causes and spectrum face energy distribution are concentrated, beam uniformity, the hot spot defective, the existence of problems such as material anisotropy and latent defect, make in actual use, even adopted said method, each passage output reference point brightness of the holographic inner product device of body and theoretical inner product value still exist than mistake, the output reference point brightness that mainly shows as single passage is not only relevant with theoretical inner product value, also relevant with the concrete pattern of two width of cloth images that participate in computing itself, make the single channel output accuracy descend, and then cause whole hyperchannel precise decreasing.The pattern of great amount of images all can present certain rules and centrality on the intensity profile of space in actual use, the information that this and image itself comprise is closely-related, this just causes and identical two width of cloth images of storehouse picture theory inner product value, because the pattern difference (is automobile on one for example, on another aircraft), be input in the holographic inner product device of body, the brightness of the reference point that obtains has bigger difference.This specific character has greatly reduced the operational precision of the holographic inner product device of body, has limited its application.
In addition, special needs to be pointed out is, staggered-release of an interleave the coding that extensively adopts in communication system, storage system (comprising body hologram memory system) at present is similar in form with this programme, but essential distinction is arranged, its difference is: the staggered-release of an interleave coding in communication or the storage system mainly is the misdata that can't recover that causes for fear of the continuous mistake that happens suddenly, and improves the error correcting capability of system.And body holography correlator itself does not need to recover to read the storehouse image (data) that is stored in wherein, thereby also image (data) is interlocked-the release of an interleave operation with regard to not needing, interleave method in this programme, be a kind of orthogonal transformation that pending image is carried out in essence, be to be subjected to input picture space intensity profile to influence bigger problem at correlator output result to propose, its objective is for the difference on the intensity profile of removal of images space, and then eliminate its influence to correlator output result, improve the output accuracy of correlator.In addition, do not need the step of release of an interleave after the staggered step in this programme, the difference that this also is with existing interlocking-release of an interleave is encoded.
Summary of the invention
The objective of the invention is the relevant problem of concrete pattern difference with the image that participates in computing at relevant (inner product) device output result, by the image (comprising storehouse image that is used to store and the realtime graphic of importing in real time) that is input in the correlator is carried out certain orthogonal transformation, thereby greatly reduce the otherness between pattern, make the more approaching theoretical inner product value of relevant (inner product) result, can more accurate reflection input picture and the similarity of storehouse image, and then improved the output accuracy of correlator.
Suppose to have M width of cloth real-time input image and N width of cloth storehouse image to carry out related calculation with body holography correlator, the breadth of every width of cloth figure all is P * Q.Before carrying out related calculation, claim that real-time input image and the storehouse image before staggered the processing is original input picture and original storehouse image to all images pre-service that all interlocks with body holography correlator.Before the pre-service that interlocks, at first need to determine staggered pretreated rule.Rule comprises piecemeal rule, coding rule and reordering rule.The principle of determining rule is as follows:
1. piecemeal rule: piecemeal is meant original image is divided into some, to carry out follow-up staggered processing.The image block of telling is called sub-piece.Really the principle of the shape of stator block and size is as follows:
A) size: according to the size of the true stator block of intensity profile of original image.Sub-piece is big more, and the sub-piece number that original image is divided into is few more, and staggered operand reduces; But sub-piece is big more, and the effect of the gray scale difference opposite sex of the image after the staggered processing of elimination is poor more.Operational precision requirement to body holography correlator is high more, and the selection of sub-piece should be as far as possible little, and minimum can be a picture element.If the space intensity profile of original image relatively evenly, can get greatly by sub-piece as far as possible; If the breadth of original image is bigger, sub-piece also can correspondingly be got greatly.In a width of cloth original image, the size of each sub-piece and shape can be inequality.
B) shape: under the identical situation of sub-block size, select coming to the same thing of arbitrary shape.But after should being convenient to interlock, selected shape is combined into the image of former breadth size.
2. coding rule: numbering is meant the sub-block number in the original image.Coding rule is determined according to principles such as convenience, custom, personal likes.Common coding rule is from left to right, from top to bottom, but is not limited to this coding rule.
3. reordering rule: reordering rule comprises generating newly to be arranged and image is reset.The principle of reordering rule is that the otherness between each image that makes after resetting according to new sequences is as far as possible little.Usually if sub-piece number is more, random alignment can meet the demands basically.Sub-piece number can determine artificially that reordering rule makes the staggered back image of handling satisfy above-mentioned requirements more after a little while.
As described below to the image pre-service workflow of interlocking, accompanying drawing 2 sees also accompanying drawing 2 for the staggered applicating flow chart of pre-service on body holography correlator, staggered pretreated detailed operation flow process.
1. according to the selected a kind of staggered processing rule of mentioned above principle, comprise piecemeal rule, coding rule and reordering rule.
2. according to the piecemeal rule of determining in the 1st step, the image that is P * Q with every width of cloth breadth all is divided into the J piece.
3. according to the coding rule of determining in the 1st step, the individual sub-piece of the J of every width of cloth storehouse image is numbered, forms the arrangement of a 1～J.
4. according to the reordering rule of determining in the 1st step, at first generate the new arrangement of a 1～J, described arrangement has a (1), a (2) ..., the form of a (J); J sub-piece to every width of cloth storehouse image rearranges then, the rule that rearranges is that the sub-piece that will be numbered a (1) is placed on the position that is numbered 1 sub-piece, the sub-piece that will be numbered a (2) is placed on the position that is numbered 2 sub-piece, the rest may be inferred, and the sub-piece that will be numbered a (n) is placed on the position of the sub-piece that is numbered n.Determine that the regulation rule of the shape of each sub-piece or rotation angle is so that each the sub-piece after resetting can be combined into piece image again.The final rearrangement is combined into the new storehouse image of the N width of cloth.
5. the storehouse image after the N width of cloth being interlocked deposits correlator in.Finished the preparation of correlator through 5～8 steps.
6. obtain a width of cloth real-time input image.
7. according to the piecemeal rule of determining in the 1st step, real-time figure is carried out the branch block operations.Divide the concrete steps of block operations described identical with the 2nd step.
8. according to the coding rule of determining in the 1st step, the individual sub-piece of the J of real-time figure is numbered.The concrete steps of numbering are described identical with the 3rd step.
9. according to determining reordering rule in the 1st step, the individual sub-piece of the J of real-time figure is rearranged, be combined into the new real-time input image of 1 width of cloth.The concrete steps of resetting are described identical with the 4th step.
10. the new figure that generates in the 9th step is sent into correlator.
11. read correlated results.
12. repeat above-mentioned 6～11 steps, obtain the correlated results of next width of cloth real-time input image and each storehouse image, until no longer including new real-time figure input.
Carry out related operation according to above-mentioned 1～12 step in body holography correlator, its result's precision does not have that the common aspect holography correlator can be significantly improved when staggered.
By choosing suitable piecemeal rule, coding rule and queueing discipline, after staggered, image sees on the whole and can become more even, can be from reducing between original image unevenness on the intensity profile of space or the otherness on the pattern to a great extent.Thereby the image after will interlocking is sent into when carrying out related operation in holographic relevant (inner product) device of body, can avoid effectively by the inhomogeneous adverse effect that the output of body holography correlator is brought of image space intensity profile, make the output result of correlator only depend on the inner product value of image, thereby can improve body holography correlator single channel and multichannel output accuracy greatly.
The related operation result of more former by experiment figure and alternating graph can find that the output result of alternating graph and theoretical inner product value are more approaching, and staggered pre-service can improve the output accuracy of body holography correlator.
Description of drawings
Accompanying drawing 1 is the schematic diagram of body holography correlator.
Accompanying drawing 2 is the staggered applicating flow chart of pre-service on body holography correlator.
Accompanying drawing 3 is embodiment 1 original image.
Accompanying drawing 4 is embodiment 1 piecemeal and coding rule explanation.
Accompanying drawing 5 is embodiment 1 sub-piece reordering rule explanation.
Accompanying drawing 6 is the result after embodiment 1 sub-piece is reset.
Accompanying drawing 7 is embodiment 1 a staggered pretreated storehouse image
Accompanying drawing 8 is embodiment 1 a staggered pretreated real-time input image.
Accompanying drawing 9 is embodiment 2 original images.
Accompanying drawing 10 is embodiment 2 piecemeals and coding rule explanation.
Accompanying drawing 11 is embodiment 2 sub-piece reordering rule explanations.
Accompanying drawing 12 is the result after embodiment 2 sub-pieces are reset.
Accompanying drawing 13 is embodiment 2 staggered pretreated storehouse images
Accompanying drawing 14 is embodiment 2 staggered pretreated real-time input image.
Wherein, 100 is input picture.
101 is Fourier transform lens.
102 is the body holographic storage material.
103 is the inversefouriertransform lens
104 is the output face of body holography correlator.
105 for being stored in the storehouse image in 102.
Embodiment
Below in conjunction with two specific embodiments and accompanying drawing specific implementation process of the present invention is described in further detail.
Specific embodiment one
Present embodiment be one to being applied in storehouse image on the body holography correlator and the input picture pretreated example that interlocks.Accompanying drawing 3 is embodiment 1 original image, the resolution of every width of cloth image is 640 * 480 in the accompanying drawing 3, the 7th width of cloth image is deposited in the body holography correlator as the storehouse image, the 1st～13 width of cloth image is imported body holography correlator successively as real-time input image, obtain the inner product operation result of the 1st～13 width of cloth image and storehouse image.The operational precision of the body holography correlator that present embodiment is had relatively high expectations.
In the present embodiment,, select minimum sub-piece---picture element because the operational precision of body holography correlator is had relatively high expectations; Coding rule by custom select from left to right, rule from top to bottom; Because original image is made more sub-piece by branch, adopt reordering rule at random.
The present embodiment operating process is as follows:
1. selected a kind of staggered processing rule comprises piecemeal rule, coding rule and reordering rule.
2. according to the piecemeal rule of determining in the 1st step, the 7th width of cloth image is carried out piecemeal according to picture element.Each pixel is a sub-piece, is divided into 640 * 480=307200 piece.Accompanying drawing 4 is the explanation of embodiment 1 piecemeal and coding rule, and the piecemeal of present embodiment and coding rule see also accompanying drawing 4.
3. according to the coding rule of determining in the 1st step, 307200 sub-pieces of the 7th width of cloth image are numbered: according to from left to right, order from top to bottom, be from 1 to 307200 series arrangement with each sub-block number.
4. according to the reordering rule of determining in the 1st step, generate one 1～307200 new arrangement at first at random.Accompanying drawing 5 is embodiment 1 sub-piece reordering rule explanation, and new form of arranging sees also second row in the accompanying drawing 5.As described in the 4th step in the summary of the invention, 307200 sub-pieces (pixel) of the 7th width of cloth image are rearranged then, generate the new storehouse image of 1 width of cloth.Accompanying drawing 6 is the result after embodiment 1 sub-piece is reset, and the sub-piece after rearranging sees also accompanying drawing 6.Accompanying drawing 7 is embodiment 1 a staggered pretreated storehouse image, referring to accompanying drawing 7.
5. will deposit correlator in through staggered pretreated storehouse image.
6. obtain a width of cloth real-time input image.
7. according to the piecemeal rule of determining in the 1st step, real-time figure is carried out the branch block operations.Divide the concrete steps of block operations described identical with the 2nd step.
8. according to the coding rule of determining in the 1st step, 307200 sub-pieces of real-time figure are numbered.The concrete steps of numbering are described identical with the 3rd step.
9. according to determining reordering rule in the 1st step, 307200 sub-pieces of real-time figure are rearranged, be combined into the new real-time input image of 1 width of cloth.Accompanying drawing 8 is embodiment 1 a staggered pretreated real-time input image, and new real-time input image sees also accompanying drawing 8.It is identical as described in the concrete steps of resetting go on foot as the 4th.
10. the new figure that generates in the 9th step is sent into correlator.
11. read correlated results.
12. repeat above-mentioned 6～11 steps, obtain the correlated results of next width of cloth real-time input image and storehouse image, repeat altogether 13 times.Through above-mentioned 1～12 step, successively obtain 13 reference points of after staggered pre-service, exporting altogether, in order to contrast, do one group again without staggered pretreated related operation, obtain the reference point of 13 former figure.Consider the influence of system noise and device non-linearity, with the 1st～7 reference point in two groups of reference points as calibration point, obtain their the actual measurement brightness and the deviation of theoretical inner product value, obtain 2 compensated curves, the transverse axis of curve is the actual measurement brightness of these 7 calibration points, the longitudinal axis is the deviation of they and theoretical inner product value, does linear interpolation between the calibration point.Use the 8th～13 measurement result of compensated curve fair copy group respectively.Result that will be behind compensation correction is as the final operation result of body holography correlator.
According to the output result of experiment contrast alternating graph and former figure, find to adopt staggered pre-service after, the output result of correlator and the quadratic sum of the deviation of theoretical inner product value are than not reduced more than 80% when interlocking pre-service.
Specific embodiment two
Present embodiment is compared with embodiment one, and it is pretreated staggered regular different that image is interlocked.Accompanying drawing 9 is embodiment 2 original images, the resolution of every width of cloth image is 640 * 480 in the accompanying drawing 9, the 9th width of cloth image is deposited in the body holography correlator as the storehouse image, the 1st～17 width of cloth image is imported body holography correlator successively as real-time input image, obtain the inner product operation result of the 1st～17 width of cloth image and storehouse image.Present embodiment is low slightly to the requirement of operational precision.
In the present embodiment, owing to the operational precision of body holography correlator is required low slightly, so select bigger sub-piece: the area of each sub-piece is half of area of the rectangle of 4 * 3 pixels, is shaped as isosceles right triangle upright or handstand; Coding rule still by custom select from left to right, rule from top to bottom; Because original image is made more sub-piece by branch, adopt reordering rule at random.
The present embodiment operating process is as follows:
1. selected a kind of staggered processing rule comprises piecemeal rule, coding rule and reordering rule.
2. according to the piecemeal rule of determining in the 1st step, the 9th width of cloth image is carried out the branch block operations.The rectangle that at first 640 * 480 breadth to be divided into 160 * 160 sizes be 4 * 3 pixels, then each little rectangle is divided into two isosceles right triangles by same mode, that triangle above claiming in each little rectangle is last triangle, and that following triangle is following triangle.Image is divided into 160 * 160 * 2=51200 sub-piece.Accompanying drawing 10 is the explanation of embodiment 2 piecemeals and coding rule, and the piecemeal of present embodiment and coding rule see also accompanying drawing 10.
3. according to the coding rule of determining in the 1st step, 51200 sub-pieces of the 9th width of cloth image are numbered: according to from left to right, order from top to bottom, all triangles are numbered from 1 to 51200 series arrangement.Following triangle numbering in each little rectangle is numbered big by 1 than last triangle.The numbering result sees also accompanying drawing 10.
4. according to the reordering rule of determining in the 1st step, generate one 1～51200 new arrangement at first at random.Accompanying drawing 11 is embodiment 2 sub-piece reordering rule explanations, and new form of arranging sees also the row of second in the accompanying drawing 11.As described in the 4th step in the summary of the invention, 51200 sub-pieces of the 9th width of cloth image are rearranged then.Adjust to down the position of triangle or will descend triangle to adjust to the situation of the position of triangle for going up triangle, need be with controlled triangle Rotate 180 degree.Accompanying drawing 12 is the result after embodiment 2 sub-pieces are reset, and resets the result and sees also accompanying drawing 12.Accompanying drawing 13 is embodiment 2 staggered pretreated storehouse images, and the staggered pretreated storehouse of warp image is referring to accompanying drawing 13.
5. will deposit correlator in through staggered pretreated storehouse image.
6. obtain a width of cloth real-time input image
7. according to the piecemeal rule of determining in the 1st step, real-time figure is carried out the branch block operations.Divide the concrete steps of block operations described identical with the 2nd step.
8. according to the coding rule of determining in the 1st step, 51200 sub-pieces of real-time figure are numbered.The concrete steps of numbering are described identical with the 3rd step.
9. according to determining reordering rule in the 1st step, 51200 sub-pieces of real-time figure are rearranged, be combined into the new real-time input image of 1 width of cloth.Accompanying drawing 14 is embodiment 2 staggered pretreated real-time input image, and new real-time input image sees also accompanying drawing 14.The concrete steps of resetting are described identical with the 4th step.
10. the new figure that generates in the 9th step is sent into correlator.
11. read correlated results.
12. repeat above-mentioned 6～11 steps, obtain the correlated results of next width of cloth real-time input image and storehouse image, repeat altogether 17 times.
Similar to embodiment 1, can obtain the staggered pretreated reference point of 17 processes and 17 without staggered pretreated reference point, get the 1st～9 reference point in these two groups of reference points respectively as calibration point, the 10th～17 reference point of fair copy group.With the final operation result of the result behind the compensation correction as body holography correlator.
According to the output result of experiment contrast alternating graph and former figure, find to adopt staggered pre-service after, the output result of correlator and the quadratic sum of the deviation of theoretical inner product value are than not reduced more than 70% when interlocking pre-service.
Though the present invention has provided two embodiment, be not in order to limit the present invention.Any person skilled in this area, without departing from the scope of the invention, results that can obtain being similar to all.Protection scope of the present invention is as the criterion with the claim restricted portion that is proposed.
Claims (3)
1, a kind of method by image pre-service raising precision of volume holographic correlator is characterized in that this method may further comprise the steps:
(1) by the selected a kind of staggered processing rule of following principle, staggered processing rule comprises piecemeal rule, coding rule and reordering rule; The principle of determining rule is as follows:
1) described piecemeal rule:
A) size: according to the size of the true stator block of intensity profile of original image; Sub-piece is big more, and the sub-piece number that original image is divided into is few more, and staggered operand reduces; But sub-piece is big more, and the effect of the gray scale difference opposite sex of the image after the staggered processing of elimination is poor more; Operational precision requirement to body holography correlator is high more, and the selection of sub-piece should be as far as possible little; If the space intensity profile of original image relatively evenly, get greatly by sub-piece as far as possible; If the breadth of original image is bigger, sub-piece is also corresponding to be got greatly;
B) shape: the image that is combined into former breadth size after selected shape should be convenient to interlock;
2) described coding rule: numbering is meant the sub-block number in the original image;
3) described reordering rule: the principle of reordering rule is that the otherness between each image that makes after resetting according to new sequences is as far as possible little; If sub-piece number is more, then random alignment; Sub-piece number determines more artificially that reordering rule makes the staggered back image of handling satisfy above-mentioned requirements;
(2) according to the piecemeal rule of determining in the 1st step, the image that is P * Q with every width of cloth breadth all is divided into the J piece; The image that described every width of cloth breadth is P * Q is called the storehouse image; Wherein, P is that the pixel of image level direction is counted, and Q is that the pixel of image vertical direction is counted, and J is the number of the sub-piece that obtains after the image segmentation of every width of cloth storehouse;
(3) according to the coding rule of determining in the 1st step, the individual sub-piece of the J of every width of cloth storehouse image is numbered, form the arrangement of a 1～J;
(4) according to the reordering rule of determining in the 1st step, at first generate the new arrangement of a 1～J, described arrangement has a (1), a (2) ..., the form of a (J); J sub-piece to every width of cloth storehouse image rearranges then, the rule that rearranges is that the sub-piece that will be numbered a (1) is placed on the position that is numbered 1 sub-piece, the sub-piece that will be numbered a (2) is placed on the position that is numbered 2 sub-piece, the rest may be inferred, and the sub-piece that will be numbered a (n) is placed on the position of the sub-piece that is numbered n; Determine that the regulation rule of the shape of each sub-piece or rotation angle is so that each the sub-piece after resetting can be combined into piece image again; The final rearrangement is combined into the new storehouse image of the N width of cloth; Described a (n) is the new arrangement of 1～J, and n is an integer between the 1-J, and N is the number of new storehouse image;
(5) the storehouse image after staggered deposits correlator in step (4) the N width of cloth;
(6) obtain a width of cloth real-time input image;
(7), the real-time input image of the described acquisition of step (6) is divided into the J piece according to the piecemeal rule of determining in the 1st step; Divide described in the block operations synchronously rapid (2);
(8), the individual sub-piece of the J of real-time figure is numbered according to the coding rule of determining in the step (1); Described in the numbering same step of operation (3);
(9) according to determining reordering rule in the 1st step, the individual sub-piece of the J of real-time figure is rearranged, be combined into the new real-time input image of 1 width of cloth; Described in the same step of rearrangement step (4);
(10) the new figure that generates in the step (9) is sent into correlator;
(11) read correlated results;
(12) repeat above-mentioned steps (6)～(11), obtain the correlated results of next width of cloth real-time input image and each storehouse image, until no longer including new real-time figure input;
Promptly finish by image pre-service raising precision of volume holographic correlator according to above-mentioned steps (1)～(12).
2, a kind of method by image pre-service raising precision of volume holographic correlator according to claim 1 is characterized in that described coding rule is for from left to right, from top to bottom.
3, a kind of method by image pre-service raising precision of volume holographic correlator according to claim 1 is characterized in that, high more to the operational precision requirement of body holography correlator, it is a picture element that the size of sub-piece is selected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2007100635090A CN100470641C (en) | 2007-02-02 | 2007-02-02 | Method for improving precision of volume holographic correlator by image pretreatment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2007100635090A CN100470641C (en) | 2007-02-02 | 2007-02-02 | Method for improving precision of volume holographic correlator by image pretreatment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101013577A CN101013577A (en) | 2007-08-08 |
| CN100470641C true CN100470641C (en) | 2009-03-18 |
Family
ID=38701050
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB2007100635090A Expired - Fee Related CN100470641C (en) | 2007-02-02 | 2007-02-02 | Method for improving precision of volume holographic correlator by image pretreatment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100470641C (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100066900A1 (en) * | 2008-09-12 | 2010-03-18 | Himax Technologies Limited | Image processing method |
| CN102129211B (en) * | 2011-02-28 | 2013-10-23 | 深圳大学反光材料厂 | Method for making synthetic hologram |
| CN102117041B (en) * | 2011-02-28 | 2013-10-23 | 深圳大学反光材料厂 | Method for making colorful synthetic hologram |
| CN105321192B (en) * | 2014-07-31 | 2018-07-06 | 惠州市德赛西威汽车电子股份有限公司 | A kind of method for drafting of vehicle entertainment system variable-length and the background of width |
| CN105319936B (en) * | 2015-12-02 | 2018-03-13 | 哈尔滨工业大学 | A kind of three- dimensional panoramic show method based on volume holographicstorage technology |
| CN107609100A (en) * | 2017-09-11 | 2018-01-19 | 叙永县图书馆 | A kind of human body temperature type Library Resources Database Systems and method |
| CN111781812B (en) * | 2020-07-22 | 2021-09-21 | 中国人民解放军陆军装甲兵学院 | Brightness homogenization method and system for full-parallax holographic volume view reconstructed image |
-
2007
- 2007-02-02 CN CNB2007100635090A patent/CN100470641C/en not_active Expired - Fee Related
Non-Patent Citations (2)
| Title |
|---|
| 散斑调制用于提高体全息相关器的识别率. 曹良才，欧阳川，何庆声，廖懿，邬敏贤，金国藩.中国激光，第32卷第2期. 2005 |
| 散斑调制用于提高体全息相关器的识别率. 曹良才，欧阳川，何庆声，廖懿，邬敏贤，金国藩.中国激光，第32卷第2期. 2005 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101013577A (en) | 2007-08-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100470641C (en) | Method for improving precision of volume holographic correlator by image pretreatment | |
| Wambsganss et al. | Testing Cosmological Models by Gravitational Lensing. I. Method and First Applications | |
| CN1184492C (en) | Method for analysis of chronostratiraphy for earthquake fault or earthquake block | |
| CN102564347B (en) | Object three-dimensional outline measuring device and method based on Dammann grating | |
| KR101608549B1 (en) | Method for correcting brightness variations caused by the pixel structure of light modulators in the reconstruction plane of computer-generated holograms | |
| US9734558B2 (en) | Method for generating high-resolution images using regression patterns | |
| CN104567730B (en) | A kind of method that space-time binary coding produces sinusoidal light field | |
| CN109974624B (en) | Method for reducing number of projection images based on multi-frequency phase shift | |
| CN105204311A (en) | Gaussian apodization based optical scanning holographic edge detection method | |
| CN112861729A (en) | Real-time depth completion method based on pseudo-depth map guidance | |
| CN104459693A (en) | Missile-borne SAR forward-squint imaging method based on GPU | |
| CN101816012A (en) | Card-counting device | |
| CN109657081A (en) | Distributed approach, system and the medium of EO-1 hyperion satellite remote sensing date | |
| CN104766280A (en) | Quality map phase unwrapping method based on heap sort | |
| CN102620668A (en) | Method and device for measuring pixel pitch of image sensor based on point-target image splicing technology | |
| CN104236707A (en) | Prism dispersion type imaging spectrometer strip noise elimination method | |
| Song et al. | Speeding up deep convolutional neural networks based on tucker-cp decomposition | |
| CN105913401A (en) | Industrial camera photogrammetry image brightness compensation method | |
| CN104931466A (en) | PLIF concentration field calibration method based on column action | |
| CN103325104B (en) | Based on the face image super-resolution reconstruction method of iteration sparse expression | |
| CN102620669B (en) | Method and device for measuring pixel pitch of image sensor by utilizing constant moving point target | |
| Liu et al. | A novel phase unwrapping method for binocular structured light 3D reconstruction based on deep learning | |
| Falco et al. | The role of microlensing in estimates of the relative time delay for the gravitational images of Q0957+ 561 | |
| CN102607444B (en) | Method and device for measuring space of pixels of image sensor by using linear light source | |
| CN102620667A (en) | Method and device for measuring pixel pitch of image sensor based on point-target image splicing technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090318 Termination date: 20120202 |