CN102122071B - Design method and system of digital optical imaging - Google Patents
Design method and system of digital optical imaging Download PDFInfo
- Publication number
- CN102122071B CN102122071B CN 201110084700 CN201110084700A CN102122071B CN 102122071 B CN102122071 B CN 102122071B CN 201110084700 CN201110084700 CN 201110084700 CN 201110084700 A CN201110084700 A CN 201110084700A CN 102122071 B CN102122071 B CN 102122071B
- Authority
- CN
- China
- Prior art keywords
- point spread
- optical
- spread function
- module
- image reduction
- 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
Landscapes
- Studio Devices (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a digital optical imaging system, comprising at least an optical module and an image recovery module, and the design method comprises a step of setting re-set target, a design step of optical module, and a design step of image recovery module, wherein optimized criterion is carried out by using the similarity and fuzzy minimum value of point spread function produced by the optical module and the similarity and fuzzy minimum value of point spread function outputted by the image recovery module, and the design step of optical module and the design step of image recovery module are carried out individually or sequentially, and simultaneously the design of the optical imaging system is carried out by means of a computer software product.
Description
The application is for dividing an application, the application number of its female case is: 200810214043.4, and the applying date: on August 22nd, 2008, priority date: on June 25th, 2008, the applicant: Industrial Technology Research Institute, denomination of invention: digital optical imaging relate to method and system.
Technical field
The present invention relates to a kind of method for designing and system of digital optical imaging, particularly relate to a kind of with optical module and image processing module in addition individual design and modular System and method for.
Background technology
Although in optical industry, be similar to conventional industries, have higher rate of gross profit; Moreover optical industry must highly rely on technician's experience accumulation in manufacture process and parameter control etc., the perfection that optical articles can be made, and therefore, compared to information products, optical articles has long development stage usually.
Adopt at present the hybrid digital optical imaging system 1 that integrates optical module and image reduction module, as shown in Figure 1, it is the design flow diagram of the existing hybrid digital optical imaging of expression system, its method for designing is used prime optical module 1A and rear class image reduction module 1B, and must design in order, meaning is that rear class image reduction module 1B must produce a point spread function (pointspread function at prime optical module 1A, PSF) after the P, the point spread function PSF that produces according to prime optical module 1A again designs with image output matrix IB, to carry out optimization person if do not reach deviser's standard, come back to again prime optical module 1A, design to repeat above-mentioned steps.
Rear class image reduction module (for example reduce wave filter) must just can design according to the result of prime optical module (for example camera lens framework), meaning even will design rear class image reduction module, must finish first the design of prime optical module, otherwise rear class image reduction module has nothing to prove namely, nothing compares.
And similar so structure, can be with reference at U.S. publication US20050197809, it provides a kind of in order to optimization optics and digitized video designed system and method, and it is estimated according to an end value in order to judge digital optical imaging system rule how.Generally speaking, this end value is with reference to the mean square deviation (mean square error, MSE) of image with the reduction image.
In addition, at U.S. publication US20070239417, provide a kind of in order to design the method for camera, camera comprises in order to the some objective lens units at electronic imaging sensor formation one fuzzy image, and the virtual lens (virtual lens) that restores above-mentioned fuzzy image (de-blurred image) in order to formation.The function of virtual lens and digital filter (being above-mentioned reduction wave filter) are identical.This method comprises the design that defines objective lens unit, and the coefficient that determines digital filter.One input image is sequentially via the design of objective lens unit and the processes such as decision of digital filter coefficient, in order to produce the image output of camera simulated operation.The demonstration of this image output is estimated by the deviser of camera.In the design restriction of real objective lens unit, relax by the use of virtual lens, have an extra optical module just as the optical design system and be incorporated in the design, to reach the purpose of aberration correction (aberration correction).
And above-mentioned existing technology may produce following point or difficulty:
1. the optical module of imaging and image processing module only can integrate and design;
2. the prime optical module be there is no especially effectively and method for designing fast;
3. image calculating is time-consuming, and optimized speed is extremely slow;
4. be difficult for reaching objective image evaluation;
5. prime optical module and rear class image reduction module must divide the work to fail to understand.
So, how can design individually optical module and image processing module, time of calculating to reduce image, and promote optimized speed is at present on the designing image disposal system, an instant problem.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of method for designing and system of digital optical imaging, is used for optical module and digitized video module individual modules, and optimization in addition separately, to be reduced into best digitized video.
To achieve these goals, the invention provides a kind of method for designing of digital optical imaging, comprise: an expectation goal-setting step; One optical module design procedure; An and digitized video recovery module design procedure; Wherein, this optical module design procedure and this digitized video recovery module design procedure carry out synchronously or sequentially.
A kind of method for designing of digital optical imaging is characterized in that, step comprises:
A. one expects the goal-setting step;
B. an optical module design procedure; And
C. a digitized video recovery module design procedure;
Wherein this optical module design procedure and this digitized video recovery module design procedure carry out synchronously or sequentially.
The method for designing of described digital optical imaging, wherein, this expectation target is set step one predetermined point spread function and a critical value is provided.
The method for designing of described digital optical imaging, wherein, this optical module design procedure comprises:
B1. produce an optical point spread function by an optical module;
B2. the similarity of this optical point spread function and this predetermined point spread function relatively;
B3. when the similarity of this optical point spread function and this predetermined point spread function is equal to or greater than this critical value, export the parameter of this optical module; And
B4. when the similarity of this optical point spread function and this predetermined point spread function during less than this critical value, this optical module of optimization and repeating step B1.
The method for designing of described digital optical imaging, wherein, this step B2 comprises that also relatively the blur level of this optical point spread function and this predetermined point spread function minimizes.
The method for designing of described digital optical imaging, wherein, the parameter of this optical module comprises a refractive index, a curvature value, an one-tenth-value thickness 1/10 and asphericity coefficient at least.
The method for designing of described digital optical imaging, wherein, this digitized video recovery module design procedure comprises:
C1. produce an image reduction point spread function by a digitized video recovery module;
C2. the similarity of this image reduction point spread function and this predetermined point spread function relatively;
C3. when the similarity of this image reduction point spread function and this predetermined point spread function is equal to or greater than this critical value, export the parameter of this digitized video recovery module; And
C4. when the similarity of this image reduction point spread function and this predetermined point spread function during less than this critical value, optimize this digitized video recovery module and repeating step C1.
The method for designing of described digital optical imaging, wherein, this step C2 comprises that also relatively the blur level of this optical point spread function and this predetermined point spread function minimizes.
The method for designing of described digital optical imaging, wherein, the parameter of this digitized video recovery module comprises a regulation and control parameter value at least.
To achieve these goals, the present invention also provides a kind of method for designing of digital optical imaging, it is characterized in that, step comprises:
D1. provide a fixing image reduction point spread function by a digitized video recovery module;
D2. produce an optical point spread function by an optical module;
D3. the similarity of this optical point spread function and image reduction point spread function that should be fixing relatively;
D4. when this optical point spread function is equal to or greater than a critical value with the similarity of being somebody's turn to do fixing image reduction point spread function, export the parameter of this optical module; And
D5. when the similarity of this optical point spread function and image reduction point spread function that should be fixing during less than this critical value, optimize this optical module and repeating step D2.
The method for designing of described digital optical imaging, wherein, this step D3 comprises that also relatively this optical point spread function minimizes with the blur level of being somebody's turn to do fixing image reduction point spread function.
The method for designing of described digital optical imaging, wherein, the parameter of this optical module comprises a refractive index, a curvature value, an one-tenth-value thickness 1/10 and asphericity coefficient at least.
To achieve these goals, the present invention also provides a kind of method for designing of digital optical imaging, it is characterized in that, step comprises:
E1. provide a fixing optical point spread function by an optical module;
E2. produce an image reduction point spread function by a digitized video recovery module;
E3. optical point spread function that relatively should be fixing and the similarity of this image reduction point spread function;
E4. when the similarity of this fixing optical point spread function and this image reduction point spread function is equal to or greater than a critical value, export the parameter of this digitized video recovery module; And
E5. when the similarity of this fixing optical point spread function and this image reduction point spread function during less than this critical value, optimize this digitized video recovery module and repeat step e 2.
The method for designing of described digital optical imaging, wherein, this step e 3 comprises that also relatively being somebody's turn to do fixing optical point spread function and the blur level of this image reduction point spread function minimizes.
The method for designing of described digital optical imaging, wherein, the parameter of this digitized video recovery module comprises a regulation and control parameter value at least.
To achieve these goals, the present invention also provides the combined method of a kind of digital optical imaging system, and this digital optical imaging system comprises a plurality of optical modules and a plurality of digitized video recovery module, it is characterized in that its method comprises:
Choose these optical modules one of them, and obtain at least one point spread function of this optical module;
Choose these image reduction modules one of them, and obtain at least one point spread function of this image reduction module; And
Analyze respectively or in order the similarity of the point spread function of this optical module and this image reduction module, and according to a predetermined critical value, this optical module and this image reduction module are formed this digital optical imaging system.
The combined method of the system of described digital optical imaging, wherein, also comprise and obtain the minimized numerical value of at least one point spread function blur level of this optical module, and the minimized numerical value of at least one point spread function blur level of obtaining this image reduction module, minimize numerical value with the spread function blur level of this image reduction module and equate when the point spread function blur level of this optical module minimizes numerical value, perhaps greater than, when equaling a predetermined critical value, this optical module and this image reduction module are formed this digital optical imaging system.
To achieve these goals, the present invention also provides a kind of method for designing of digital optical imaging, it is characterized in that, step comprises:
F1. produce at least two optical point spread functions by an optical module;
F2. the similarity that compares these optical point spread functions;
F3. when the similarity of these optical point spread functions is equal to or greater than a critical value, export the parameter of this optical module; And
F4. when the similarity of these optical point spread functions during less than this critical value, optimize this optical module and repeat step F 1.
The method for designing of described digital optical imaging, wherein, this step F 2 comprises that also the blur level of these optical point spread functions of comparison minimizes.
The method for designing of described digital optical imaging, wherein, the parameter of this optical module comprises a refractive index, a curvature value, an one-tenth-value thickness 1/10 and asphericity coefficient at least.
To achieve these goals, the present invention also provides a kind of method for designing of digital optical imaging, it is characterized in that, step comprises:
G1. produce at least two image reduction point spread functions by a digitized video recovery module;
G2. the similarity that compares these image reduction point spread functions;
G3. when the similarity of these image reduction point spread functions is equal to or greater than a critical value, export the parameter of this digitized video recovery module; And
G4. when the similarity of these image reduction point spread functions during less than this critical value, optimize this digitized video recovery module and repeating step G1.
The method for designing of described digital optical imaging, wherein, this step G2 comprises that also the blur level of these image reduction point spread functions of comparison minimizes.
The method for designing of described digital optical imaging, wherein, the parameter of this digitized video recovery module comprises a regulation and control parameter value at least.
To achieve these goals, the present invention also provides a kind of digital optical imaging method for designing, is used for the design by at least one computer realization digital optical imaging, it is characterized in that this imaging method for designing comprises the following step at least:
H1. modularization one digital imaging system becomes an optical module and an image reduction module, and defines a plurality of optics variablees;
H2. the similarity of the point spread function of the point spread function by this optical module and/or this image reduction module, the optical property of this digit optical system of optimization; And
H3. via this optical module of optimization and/or this image reduction module, revising the optics variable, and repeating step H1.
To achieve these goals, the present invention also provides a kind of digital optical imaging system, and comprise: an optical module has an optics critical value and an optical point spread function, and an image reduction module, have an image reduction critical value and an image reduction point spread function; Wherein, this optical module is by the similarity of this optical point spread function and the comparison of this optics critical value, to carry out optimization, this image reduction module is by the similarity of this image reduction point spread function and the comparison of this image reduction critical value, to carry out optimization.
The preferably, this optical module also can be by the fuzzy minimum value of this optical point spread function and the comparison of this optics critical value, to carry out optimization; This image reduction module also can be by the fuzzy minimum value of this image reduction point spread function and the comparison of this image reduction critical value, to carry out optimization.
Therefore, the present invention is by above-mentioned structure and method, can be individually and individually design optical module and digitized video module, mutually arrange in pairs or groups again, and to reach the effect of indivedual optimizations and modularization individual matches, use the saving cost.
Describe the present invention below in conjunction with the drawings and specific embodiments, but not as a limitation of the invention.
Description of drawings
Fig. 1 is the design flow diagram of the existing hybrid digital optical imaging of expression system;
Fig. 2 is the process block diagram of expression digital optical imaging of the present invention;
Fig. 3 is the calcspar of expression first embodiment of the invention;
Fig. 4 is the calcspar of expression second embodiment of the invention;
Fig. 5 is the calcspar of expression third embodiment of the invention;
Fig. 6 is the calcspar of expression four embodiment of the invention;
Fig. 7 is the calcspar of expression fifth embodiment of the invention;
Fig. 8 is the calcspar of expression sixth embodiment of the invention;
Fig. 9 is the calcspar that expression the present invention is applied to software product;
Before Figure 10 is the expression optimization, with Doublet software simulation result's curve map;
After Figure 11 is the expression optimization, with Doublet software simulation result's curve map;
Figure 12 is the tabulation figure of expression analog parameter variable of the present invention.
Wherein, Reference numeral:
1 hybrid digital optical imaging system
1A prime optical module
1B rear class image reduction module
The system of 2 digital optical imagings
The 2A optical module
2B image reduction module
The system of 3 digital optical imagings
The 3A optical module
3B image reduction module
4 software products
IS digital optical imaging system
MI1 the first image reduction module
MI2 the second image reduction module
The fuzzy minimum value of MIO optical point spread function
The fuzzy minimum value of MID image reduction point spread function
MO1 the first optical module
MO2 the second optical module
The point spread function that PD is predetermined
PI image reduction point spread function
PI1 image reduction point spread function
PI2 image reduction point spread function
The image reduction point spread function that PIF is fixing
PO optical point spread function
PO1 optical point spread function
PO2 optical point spread function
The optical point spread function that POF is fixing
The previous point spread function that once produces or export of PSF1
The point spread function that PSF2 produces next time or exports
The T critical value
Step SA1 sets an expectation target;
Step SA2 designs an optical module;
Step SA3 designs a digitized video module;
Step SA4 exports an optical image and a numeral reduction image;
Step SB1 produces an optical point spread function from optical module;
Step SB2 compares the similarity of optical point spread function and predetermined point spread function;
When step SB3 is equal to or greater than critical value when the similarity of optical point spread function and predetermined point spread function, the parameter of output optical module;
Step SB4 is when the similarity of optical point spread function and predetermined point spread function during less than critical value, with optical module optimization and repeating step;
Step SC1 produces an image reduction point spread function from the image reduction module;
Step SC2 compares the similarity of image reduction point spread function and predetermined point spread function;
When step SC3 is equal to or greater than critical value when the similarity of image reduction point spread function and predetermined point spread function, the parameter of output digitized video recovery module;
Step SC4 is when the similarity of image reduction point spread function and predetermined point spread function during less than critical value, with digitized video recovery module optimization and repeating step SC2;
Step SD1 provides a fixing image reduction point spread function by the digitized video recovery module;
Step SD2 produces an optical point spread function by optical module;
Step SD3 is the similarity of optical point spread function and fixing image reduction point spread function relatively;
When step SD4 is equal to or greater than a critical value when the similarity of optical point spread function and fixing image reduction point spread function, the parameter of output optical module;
Step SD5 is when the similarity of optical point spread function and fixing image reduction point spread function during less than critical value, with optical module optimization and repeating step SD2;
Step SE1 provides a fixing optical point spread function by optical module;
Step SE2 produces an image reduction point spread function by the digitized video recovery module;
The optical point spread function that step SE3 is relatively more fixing and the similarity of image reduction point spread function;
When step SE4 is equal to or greater than a critical value when the similarity of fixing optical point spread function and image reduction point spread function, the parameter of output digitized video recovery module;
Step SE5 carries out optimization and repeating step SE2 when the similarity of fixing optical point spread function and image reduction point spread function during less than critical value with the digitized video recovery module;
Step SF1 produces at least two optical point spread functions from optical module;
At least two optical point spread functions that step SF2 produces by analyzing optical module are to carry out optimization with optical module;
Step SF3 relatively the optical point spread function similarity whether greater than, equal critical value T;
If step SF4 greater than, equal a critical value T person, namely export optical results, for example optical parametric;
If step SF5 is less than critical value T person, i.e. repeating step SF1;
Step SG1 produces at least two image reduction point spread functions from the image reduction module;
At least two image reduction point spread functions that step SG2 produces by analyzing the image reduction module are to carry out optimization with the image reduction module;
Step SG3 relatively the image reduction point spread function similarity whether greater than, equal critical value T;
If step SG4 is more than or equal to a critical value T person, namely the image output reduction result is for example regulated and control parameter value;
If step SG5 is less than critical value T person, i.e. repeating step SG1;
Step SH1 modularization one digital imaging system comprises some optics variable-definitions;
Step SH2 is by the similarity of point spread function, the optical property of optimization digit optical system;
Step SH3 is via optimization and repeating step SH1, to revise the optics variable;
Embodiment
Below in conjunction with the drawings and specific embodiments technical scheme of the present invention is made further more detailed description.
Please refer to Fig. 2, is the process block diagram of expression digital optical imaging of the present invention; The system 2 of the digital optical imaging of present embodiment comprises an optical module 2A (for example, lens set structure) and image reduction module 2B (for example, reduction wave filter); Optical module 2A and image reduction module 2B can individually operate, or simultaneously running.
And optical module 2A can produce an optical point spread function (point spread function, PSF) PO, the reducible point spread function PI of the exportable image of image reduction module; And the similarity by the comparison point spread function, or the similarity of optical transfer function (optical transfer function, OTF), can individually design optical module 2A and digitized video module 2B.From the viewpoint of mathematics, optical transfer function is the fourier transform of point spread function.Therefore, optical transfer function etc. is all point spread function.And analyzer An carries out the comparative approach of point spread function similarity, comprise degree of verisimilitude (Fidelity), correlativity (Correlation) and Hibert space projectional angle (Hilbert Space Projected Angle), its equation apportion is as follows:
Degree of verisimilitude:
Correlativity:
The Hibert space projectional angle:
Wherein, the PSF1 in the formula is the previous point spread function that once produces or export of optical module 2A or image reduction module 2B, and PSF2 is the point spread function that optical module 2A or image reduction module 2B produce next time or export; The design procedure that it is detailed will describe in detail in the back.
Please refer to Fig. 3, is the calcspar of expression first embodiment of the invention.The system 3 of present embodiment comprises an optical module 3A and an image reduction module 3B, and present embodiment explanation optical module 3A collocation image reduction module 3B designs simultaneously, and its design procedure comprises:
Step SA2: design an optical module 3A; And
Step SA3: design a digitized video module 3B.
Before design optical module and design digitized video module, the deviser can set first an expectation target (step SA1), comprise a predetermined point spread function PD and want to reach the critical value T of image optimum.
Among the step SA2, also comprise:
Step SB1: produce an optical point spread function PO from optical module 3A;
Step SB2: the similarity that compares optical point spread function PO and predetermined point spread function PD;
Step SB3: when the similarity of optical point spread function PO and predetermined point spread function PD is equal to or greater than critical value T, the parameter of output optical module; And
Step SB4: when the similarity of optical point spread function PO and predetermined point spread function PD during less than critical value T, with optical module optimization and repeating step SB1.
Among the step SA3, also comprise:
Step SC1: produce an image reduction point spread function PI from image reduction module 3B;
Step SC2: the similarity that compares image reduction point spread function PI and predetermined point spread function PD;
Step SC3: when the similarity of image reduction point spread function PI and predetermined point spread function PD is equal to or greater than critical value T, the parameter of output digitized video recovery module; And
Step SC4: when the similarity of image reduction point spread function PI and predetermined point spread function PD during less than critical value T, with digitized video recovery module optimization and repeating step SC1.
In step SB2, its mode that compares similarity comprises above-mentioned degree of verisimilitude, correlativity and Hibert space projectional angle; And except comparing similarity, also comprise fuzzy minimum value (blur minimization) MIO of comparison optical point spread function; And in step SC2, also comprise the fuzzy minimum M ID of comparison image reduction point spread function.
Moreover the parameter of exporting in step SB3 comprises a refractive index, a curvature, an one-tenth-value thickness 1/10 and an asphericity coefficient, or its combination; And the parameter of exporting among the step SC3 comprises regulation and control parameter, regularization parameter (regularization parameter) and a signal noise ratio parameter (signal to noiseratio parameter).
After step SA2 and step SA3 individually finish, also comprise a step SA4, namely export an optical image and a numeral reduction image.
Please refer to Fig. 4, is the calcspar of expression second embodiment of the invention.Present embodiment explanation optical module 3A carries out design optimization individually and individually; Its step comprises:
Step SF1: produce at least two optical point spread function PO1, PO2 from optical module 3A; And
Step SF2: at least two optical point spread function PO1, the PO2 that produce by analyzing optical module 3A, so that optical module 3A is carried out optimization.
In step SF1, can utilize different object distances or different position to produce different optical point spread functions.
The similarity that step SF2 utilizes optical point spread function relatively whether greater than, equal critical value T (step SF3), if greater than, equal a critical value T person, namely export optical results, optical parametric (step SF4) for example, if less than critical value T person, i.e. repeating step SF1 (step SF5).
And in step SF2, the method for its analysis comprises the fuzzy minimum value of comparison optical point spread function.
Please refer to Fig. 5, is the calcspar of expression third embodiment of the invention.Present embodiment explanation image reduction module 3B carries out design optimization individually and individually; Its step comprises:
Step SG1: produce at least two image reduction point spread function PI1, PI2 from image reduction module 3B; And
Step SG2: at least two image reduction point spread function PI1, the PI2 that produce by analyzing image reduction module 3B, so that image reduction module 3B is carried out optimization.
In step SG1, can utilize different noises (noise) to produce different image reduction point spread functions.
The similarity that step SG2 utilizes image reduction point spread function relatively whether greater than, equal critical value T (step SG3), if more than or equal to a critical value T person, it is the image output reduction result, for example regulate and control parameter value (step SG4), if less than critical value T person, i.e. repeating step SG1 (step SG5).
And in step SG2, also comprise the fuzzy minimum value of comparison image reduction point spread function.
Please refer to Fig. 6, is the calcspar of expression four embodiment of the invention.Present embodiment explanation optical module 3A arranges in pairs or groups with image reduction module 3B after design optimization is finished individually and individually again; Its step comprises:
Step SD1: provide a fixing image reduction point spread function PIF by digitized video recovery module 3B;
Step SD2: produce an optical point spread function PO by optical module 3A;
Step SD3: the similarity of optical point spread function PO and fixing image reduction point spread function PIF relatively;
Step SD4: when the similarity of optical point spread function PO and fixing image reduction point spread function PIF is equal to or greater than a critical value T, the parameter of output optical module 3A; And
Step SD5: when the similarity of optical point spread function PO and fixing image reduction point spread function PIF during less than critical value T, with optical module 3A optimization and repeating step SD2.
In step SD3, except the similarity of optical point spread function relatively and fixing image reduction point spread function, also comprise the fuzzy minimum value of comparison optical point spread function and fixing image reduction point spread function.
And the parameter of exporting in step SD4 comprises a refractive index, a curvature, an one-tenth-value thickness 1/10 and an asphericity coefficient, perhaps its combination.
Please refer to Fig. 7, is the calcspar of expression fifth embodiment of the invention.Present embodiment explanation image reduction module 3B after finish individually and individually by design optimization, arranges in pairs or groups with optical module 3A again; Its step comprises:
Step SE1: provide a fixing optical point spread function POF by optical module 3A;
Step SE2: produce an image reduction point spread function PI by digitized video recovery module 3B;
Step SE3: the optical point spread function POF that relatively fixes and the similarity of image reduction point spread function PI;
Step SE4: when the similarity of fixing optical point spread function POF and image reduction point spread function PI is equal to or greater than a critical value T, the parameter of output digitized video recovery module 3B; And
Step SE5: when the similarity of fixing optical point spread function POF and image reduction point spread function PI during less than critical value, digitized video recovery module 3B is carried out optimization and repeating step SE2.
In step SE3, except the similarity of image reduction point spread function relatively and fixing optical point spread function, also comprise the fuzzy minimum value of comparison image reduction point spread function and fixing optical point spread function.
And the parameter of exporting in step SE4 comprises regulation and control parameter, a regularization parameter and a signal noise ratio parameter, perhaps its combination.
Please refer to Fig. 8, is the calcspar of expression sixth embodiment of the invention.The present embodiment explanation is because therefore the modularization of optical module and digitized video module can carry out the exchange of module.In the present embodiment, comprise having one first optical module MO1 and one first image reduction module MI1, and have one second optical module MO2 and one second image reduction module MI2; The step of present embodiment comprises:
Step SK1: choose optical module MO1 or a MO2 wherein, and obtain at least one optical point spread function PO of selected optical module MO1 or MO2;
Step SK2: choose image reduction module MI1 or a MI2 wherein, and obtain at least one image reduction point spread function PI of selected image reduction module MI1 or MI2; And
Step SK3: the similarity of analyzing respectively or in order the image reduction point spread function PI of the optical point spread function PO of selected optical module MO1 or MO2 and selected image reduction module MI1 or MI2, and according to a predetermined critical value T, optical module MO1 or MO1 are formed an IS of digital optical imaging system with image reduction module MI1 or MI2.
In details of the words, produce one first optical point spread function from the first optical module, produce one second optical point spread function from the second optical module, export one first image reduction point spread function from the first image reduction module, export one second image reduction point spread function from the second image reduction module; Compare again the similarity of the first optical point spread function and the first image reduction point spread function, and compare the similarity of the second optical point spread function and the second image reduction point spread function.
Therefore, when both similarity reaches a predetermined critical value, represent that namely the first optical module is extremely closely identical with the optical property of the second optical module, meaning is that the first optical module and the second optical module can be replaced mutually, so can reach the purpose of modularization individual matches.Moreover compared to prior art, the present invention can replace with the optical module of same size separately, and need not replace whole system, to save cost.
Please refer to Fig. 9, is the calcspar that expression the present invention is applied to software product.This Figure illustrates the digital optical imaging method for designing, it is by the design of at least one computing machine (such as software product 4) realization digital optical imaging, and this imaging method for designing comprises:
Step SH1: modularization one digital imaging system comprises some optics variable-definitions;
Step SH2: by the similarity of point spread function, the optical property of optimization digit optical system; And
Step SH3: via optimization and repeating step SH1, to revise the optics variable.
Wherein, in step SH1, the digital imaging system module changes into an optical module and with the picture recovery module; Wherein, the optics variable comprises an optical module variable and an image reduction module variable, and the variable of optical module comprises the refractive index of an optical module, the size of an optical module, thickness, wavelength and the Abbe number (Abbe-number) etc. of an optical module; And the variable of image reduction comprises filter parameter, regularization parameter and signal noise ratio parameter etc.
Please also refer to Figure 10 and Figure 11, represent that respectively optimization of the present invention is forward and backward, with Doublet software simulation result's curve map.And Figure 12 is the tabulation figure of expression analog parameter variable of the present invention.Take the imaging system of Doublet as example, design object is for being desirably on the focal plane, in the focal depth range of each 0.2mm of front and back, take the parameter shown in Figure 12 as example, input light radius (Ent beam radius) is fixed as 6.25, rink corner degree (field angle) is 5.7296e-05, predominant wavelength (Primary wavln) is 0.587560, therefore variable comprises the radius (RADIUS) of eyeglass, thickness (THICKNESS) and pore size (APERTURERADIUS) etc., after through calculating, the similarity degree (as shown in figure 11) of its point spread function, for traditional optical system (as shown in figure 10), all can be greater than 0.8.
Therefore, by above-mentioned structure and method, can reach the Modularized digital imaging system, namely be divided into an optical module and an image reduction module, by similarity and the fuzzy minimum value of point spread function, to obtain the standard of objectivity; And optical module and/or image reduction module can be individually and are individually carried out optimization, mutually mate the time of calculating to reduce image again; And can replace mutually the optical module that reaches identical performance, and need not replace whole system, to save cost.
Certainly; the present invention also can have other various embodiments; in the situation that does not deviate from spirit of the present invention and essence thereof; those of ordinary skill in the art work as can make according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to the protection domain of the appended claim of the present invention.
Claims (12)
1. the method for designing of a digital optical imaging is characterized in that, step comprises:
D1. provide a fixing image reduction point spread function by a digitized video recovery module;
D2. produce an optical point spread function by an optical module;
D3. the similarity of this optical point spread function and image reduction point spread function that should be fixing relatively;
D4. when this optical point spread function is equal to or greater than a critical value with the similarity of being somebody's turn to do fixing image reduction point spread function, export the parameter of this optical module; And
D5. when the similarity of this optical point spread function and image reduction point spread function that should be fixing during less than this critical value, optimize this optical module and repeating step D2.
2. the method for designing of digital optical imaging according to claim 1 is characterized in that, this step D3 comprises that also relatively this optical point spread function minimizes with the blur level of being somebody's turn to do fixing image reduction point spread function.
3. the method for designing of digital optical imaging according to claim 1 is characterized in that, the parameter of this optical module comprises a refractive index, a curvature value, an one-tenth-value thickness 1/10 and asphericity coefficient at least.
4. the method for designing of a digital optical imaging is characterized in that, step comprises:
E1. provide a fixing optical point spread function by an optical module;
E2. produce an image reduction point spread function by a digitized video recovery module;
E3. optical point spread function that relatively should be fixing and the similarity of this image reduction point spread function;
E4. when the similarity of this fixing optical point spread function and this image reduction point spread function is equal to or greater than a critical value, export the parameter of this digitized video recovery module; And
E5. when the similarity of this fixing optical point spread function and this image reduction point spread function during less than this critical value, optimize this digitized video recovery module and repeat step e 2.
5. the method for designing of digital optical imaging according to claim 4 is characterized in that, this step e 3 comprises that also relatively being somebody's turn to do fixing optical point spread function and the blur level of this image reduction point spread function minimizes.
6. the method for designing of digital optical imaging according to claim 4 is characterized in that, the parameter of this digitized video recovery module comprises a regulation and control parameter value at least.
7. the method for designing of a digital optical imaging is characterized in that, step comprises:
F1. produce at least two optical point spread functions by an optical module;
F2. the similarity that compares these optical point spread functions;
F3. when the similarity of these optical point spread functions is equal to or greater than a critical value, export the parameter of this optical module; And
F4. when the similarity of these optical point spread functions during less than this critical value, optimize this optical module and repeat step F 1.
8. the method for designing of digital optical imaging according to claim 7 is characterized in that, this step F 2 comprises that also the blur level of these optical point spread functions of comparison minimizes.
9. the method for designing of digital optical imaging according to claim 7 is characterized in that, the parameter of this optical module comprises a refractive index, a curvature value, an one-tenth-value thickness 1/10 and asphericity coefficient at least.
10. the method for designing of a digital optical imaging is characterized in that, step comprises:
G1. produce at least two image reduction point spread functions by a digitized video recovery module;
G2. the similarity that compares these image reduction point spread functions;
G3. when the similarity of these image reduction point spread functions is equal to or greater than a critical value, export the parameter of this digitized video recovery module; And
G4. when the similarity of these image reduction point spread functions during less than this critical value, optimize this digitized video recovery module and repeating step G1.
11. the method for designing of digital optical imaging according to claim 10 is characterized in that, this step G2 comprises that also the blur level of these image reduction point spread functions of comparison minimizes.
12. the method for designing of digital optical imaging according to claim 10 is characterized in that, the parameter of this digitized video recovery module comprises a regulation and control parameter value at least.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US7547008P | 2008-06-25 | 2008-06-25 | |
| US61/075,470 | 2008-06-25 |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2008102140434A Division CN101614875B (en) | 2008-06-25 | 2008-08-22 | Design method and system of digital optical imaging |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102122071A CN102122071A (en) | 2011-07-13 |
| CN102122071B true CN102122071B (en) | 2013-04-17 |
Family
ID=41494608
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110084700 Expired - Fee Related CN102122071B (en) | 2008-06-25 | 2008-08-22 | Design method and system of digital optical imaging |
| CN2008102140434A Expired - Fee Related CN101614875B (en) | 2008-06-25 | 2008-08-22 | Design method and system of digital optical imaging |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2008102140434A Expired - Fee Related CN101614875B (en) | 2008-06-25 | 2008-08-22 | Design method and system of digital optical imaging |
Country Status (2)
| Country | Link |
|---|---|
| CN (2) | CN102122071B (en) |
| TW (1) | TWI411815B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101867709B (en) * | 2010-05-17 | 2012-06-06 | 哈尔滨工业大学 | Spherical imaging device and imaging method thereof |
| US9098147B2 (en) | 2011-12-29 | 2015-08-04 | Industrial Technology Research Institute | Ranging apparatus, ranging method, and interactive display system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1629730A (en) * | 2003-10-27 | 2005-06-22 | 国际商业机器公司 | Method for executing model-based optical proximity correction |
| EP1672912A2 (en) * | 2003-01-16 | 2006-06-21 | D-blur Technologies LTD. C/o Yossi Haimov CPA | Method for producing an optical system including an electronic image enhancement processor |
| CN1898590A (en) * | 2003-12-01 | 2007-01-17 | Cdm光学有限公司 | System and method for optimizing optical and digital system designs |
| CN1991643A (en) * | 2005-12-30 | 2007-07-04 | 财团法人工业技术研究院 | Method and system for designing and making lens module |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI323125B (en) * | 2004-04-16 | 2010-04-01 | Hon Hai Prec Ind Co Ltd | An method for auto-adjusting the focus of the digital camera |
| US20070236574A1 (en) * | 2006-03-31 | 2007-10-11 | D-Blur Technologies Ltd. | Digital filtering with noise gain limit |
-
2008
- 2008-07-25 TW TW97128452A patent/TWI411815B/en not_active IP Right Cessation
- 2008-08-22 CN CN 201110084700 patent/CN102122071B/en not_active Expired - Fee Related
- 2008-08-22 CN CN2008102140434A patent/CN101614875B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1672912A2 (en) * | 2003-01-16 | 2006-06-21 | D-blur Technologies LTD. C/o Yossi Haimov CPA | Method for producing an optical system including an electronic image enhancement processor |
| CN1629730A (en) * | 2003-10-27 | 2005-06-22 | 国际商业机器公司 | Method for executing model-based optical proximity correction |
| CN1898590A (en) * | 2003-12-01 | 2007-01-17 | Cdm光学有限公司 | System and method for optimizing optical and digital system designs |
| CN1991643A (en) * | 2005-12-30 | 2007-07-04 | 财团法人工业技术研究院 | Method and system for designing and making lens module |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101614875A (en) | 2009-12-30 |
| CN102122071A (en) | 2011-07-13 |
| TW201000953A (en) | 2010-01-01 |
| TWI411815B (en) | 2013-10-11 |
| CN101614875B (en) | 2011-10-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8310481B2 (en) | Computer aided design method for enhancement of local refinement through T-splines | |
| Saha et al. | A portable modeler of lensed quasars | |
| CN102736247B (en) | Method for optimizing surface type parameters of optical free-form-surface prism based on machining tolerance constraints | |
| CN102122071B (en) | Design method and system of digital optical imaging | |
| CN103761749A (en) | Optical flow field rapid estimation method based on non-linear multigrid method | |
| EP2062086B1 (en) | Method and apparatus for designing optical surfaces | |
| CN101477583B (en) | Computer-aided design method for cam curve of three-component zooming system | |
| Armillotta | Allocation of geometric tolerances in one-dimensional stackup problems | |
| Youngworth | Twenty-first century optical tolerancing: a look at the past and improvements for the future | |
| Matsui | Fundamentals of Practical Aberration Theory: Fundamental Knowledge and Technics for Optical Designers | |
| Perevozchikova et al. | NUMERICAL ALGORITHM FOR FINDING A SOLUTION TO A NONLINEAR FILTRATION MATHEMATICAL MODEL WITH A RANDOM SHOWALTER--SIDOROV INITIAL CONDITION | |
| Houllier | Optical imaging systems with freeform surfaces: optimization algorithms study and freeform surfaces metrology | |
| Yilmaz et al. | A new auxiliary function approach for inequality constrained global optimization problems | |
| Evans et al. | Optimization-based techniques for laser shaping optics | |
| Lee et al. | A Novel Analytical Interpolation Approach for Determining the Locus of a Zoom Lens Optical System | |
| Aderneuer et al. | Design for manufacturing tools for free-form micro-optical arrays | |
| Perevozchikova et al. | Investigation of various types of control problems for one nonlinear model of filtration | |
| Jeong et al. | Generation of CNN Architectures Using the Harmonic Search Algorithm and its Application to Classification of Damaged Sewer | |
| Johnson et al. | Computational imaging design tools and methods | |
| Cheng et al. | A study on the optomechanical tolerance model for lens assembly | |
| DRUART et al. | Systèmes optiques imageurs avec des surfaces freeform: études d’algorithmes d’optimisation, et métrologie des surfaces freeform | |
| IL150243A (en) | Method and system for evaluating optical disturbances occuring in a supersonic flow field | |
| Kim et al. | Normalized convolutional neural network | |
| Jin et al. | Distribution-aware FAST feature point extraction and matching based on FPGA | |
| Shen et al. | Matrix convolutional operation architecture based on optical Fourier transform |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130417 Termination date: 20190822 |