CN108495105A - Image processing apparatus, method and laser projection device - Google Patents

Image processing apparatus, method and laser projection device Download PDF

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Publication number
CN108495105A
CN108495105A CN201810245614.4A CN201810245614A CN108495105A CN 108495105 A CN108495105 A CN 108495105A CN 201810245614 A CN201810245614 A CN 201810245614A CN 108495105 A CN108495105 A CN 108495105A
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China
Prior art keywords
image
black surround
image data
projected
image processing
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CN201810245614.4A
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Chinese (zh)
Inventor
刘杰
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Qingdao Hisense Electronics Co Ltd
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Qingdao Hisense Electronics Co Ltd
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Priority to CN201810245614.4A priority Critical patent/CN108495105A/en
Publication of CN108495105A publication Critical patent/CN108495105A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/12Picture reproducers
    • H04N9/31Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3141Constructional details thereof
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/12Picture reproducers
    • H04N9/31Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3141Constructional details thereof
    • H04N9/315Modulator illumination systems
    • H04N9/3161Modulator illumination systems using laser light sources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/12Picture reproducers
    • H04N9/31Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3179Video signal processing therefor

Abstract

This disclosure relates to laser display field, a kind of image processing apparatus, image processing method and laser projection device are provided.The image processing apparatus includes:Image detection module, for detecting image data image to be projected;Image processing module is divided into black surround image data and non-black surround image data for receiving described image data, and by described image data;Drive processing module, for according to the black surround image data and the non-black surround image data control light valve component rotation, so that the reflected light in the corresponding middle black surround region image to be projected is incident to light absorber, the reflected light in non-black surround region is incident to projection lens.The disclosure improves black surround region there are the not black defect of black surround caused by light reflection, improves image display quality, improves user experience.

Description

Image processing apparatus, method and laser projection device
Technical field
This disclosure relates to laser display field, more particularly to a kind of image processing apparatus and includes figure at image processing method As the laser projection device of processing unit.
Background technology
Currently, there are many projector's type on electronic market, it is divided into three classes substantially according to working method:Cathode-ray tube is thrown Shadow machine (Cathode Ray Tube Processor, CRT projectors), liquid crystal projector (LCD projector) and digital light processing Device projector (Digital Light Processor, DLP projector), CRT projectors due to complicated for operation, volume is larger by It is gradually eliminated, existing frequently-used is LCD projector and DLP projector.
The core component of digital optical processor projector (DLP) is digital micro-mirror device (DMD, Digital Micromirror Device), surface has been covered with the small rotatable eyeglass of volume, when projector works normally, Light passes through dmd chip, by the rotation of rotatable eyeglass come reflection light, to show image.But usually in dark scene When lower viewing film, black surround region usually has light reflection so that black surround region shows grey, leads to screen viewing effect not It is good.In order to improve light reflection existing for black surround region, usually by the lens zoom of laser projection device, so that general image is big Small scaling and then black surround is eliminated, but such that image cropping on another direction, causes image fault.
Therefore there is an urgent need for a kind of new technical solutions to improve the light reflection in black surround region for this field.
It should be noted that information is only used for reinforcing the reason to the background of the disclosure disclosed in above-mentioned background technology part Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Invention content
The disclosure is designed to provide a kind of image processing apparatus, method and laser projection device, to improve black surround area The light reflection in domain improves image display quality, improves user experience.
Other characteristics and advantages of the disclosure will be apparent from by the following detailed description, or partially by the disclosure Practice and acquistion.
According to the disclosure in a first aspect, providing a kind of image processing apparatus, which is characterized in that including:
Image detection module, for detecting image data image to be projected;
Image processing module, for receiving described image data, and by described image data be divided into black surround image data and Non- black surround image data;
Processing module is driven, for controlling light valve component according to the black surround image data and the non-black surround image data Rotation makes the reflected light for corresponding to the middle black surround region image to be projected be incident to light absorber, the reflected light in non-black surround region It is incident to projection lens.
According to the second aspect of the disclosure, a kind of image processing method is provided, which is characterized in that including:
Image detection module detects image data image to be projected;
Image processing module receives described image data, and described image data are divided into black surround image data and non-black surround Image data;
Processing module is driven to be rotated according to the black surround image data and the non-black surround image data control light valve component, The reflected light for corresponding to the middle black surround region image to be projected is set to be incident to light absorber, the reflected light in non-black surround region is incident to Projection lens.
According to the third aspect of the disclosure, a kind of laser projection device is provided, which is characterized in that including laser, light Valve components and image processing apparatus as described above.
As shown from the above technical solution, image processing apparatus, method and the laser projection in disclosure exemplary embodiment Equipment at least has following advantages and good effect:
Image processing apparatus in the disclosure includes image detection module, image processing module and driving processing module, figure As the image data that processing module is detected according to image detection module, it is classified as black surround image data and non-black surround image Data, driving processing module control light valve component rotation according to black surround image data, so that the reflected light in corresponding black surround region enters It is incident upon light absorber, light valve component rotation is controlled according to non-black surround image data, so that corresponding non-black surround region (i.e. viewing area Domain) reflected light be incident to projection lens.It is effectively improved by image processing apparatus in the disclosure and image processing method Black surround region improves image display quality, improves user experience there are the not black defect of black surround caused by light reflection.
The disclosure it should be understood that more than general description and following detailed description be only exemplary and explanatory , the disclosure can not be limited.
Description of the drawings
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure Example, and together with specification for explaining the principles of this disclosure.It should be evident that the accompanying drawings in the following description is only the disclosure Some embodiments for those of ordinary skill in the art without creative efforts, can also basis These attached drawings obtain other attached drawings.
Fig. 1 shows the structural schematic diagram of image processing apparatus in disclosure exemplary embodiment;
Fig. 2 shows the structural schematic diagrams of image detection module in disclosure exemplary embodiment;
Fig. 3 shows the structural schematic diagram of image detection module in disclosure exemplary embodiment;
Fig. 4 A-4C show the corresponding picture signal of three kinds of different images scale detection units in disclosure exemplary embodiment Figure;
Fig. 5 shows the fundamental diagram of rotary lenses on digital micro-mirror device in disclosure exemplary embodiment;
Fig. 6 shows the flow chart of image processing method in disclosure exemplary embodiment;
Fig. 7 shows the perspective view of digital optical processor projector in disclosure exemplary embodiment;
Fig. 8 shows that aspect ratio is 2.35 in disclosure exemplary embodiment:The schematic diagram of 1 film mode image;
Fig. 9 shows the structural schematic diagram of laser projection device in disclosure exemplary embodiment;
Figure 10 shows the image-forming principle schematic diagram of laser projection device in disclosure exemplary embodiment.
Specific implementation mode
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes Formula is implemented, and is not understood as limited to example set forth herein;On the contrary, thesing embodiments are provided so that the disclosure will more Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.Described feature, knot Structure or characteristic can be in any suitable manner incorporated in one or more embodiments.In the following description, it provides perhaps More details fully understand embodiment of the present disclosure to provide.It will be appreciated, however, by one skilled in the art that can It is omitted with technical solution of the disclosure one or more in the specific detail, or others side may be used Method, constituent element, device, step etc..In other cases, be not shown in detail or describe known solution to avoid a presumptuous guest usurps the role of the host and So that all aspects of this disclosure thicken.
In this specification using term "one", " one ", "the" and " described " to indicate there are one or more elements/ Component part/etc.;Term " comprising " and " having " is indicating the open meaning being included and refer in addition to listing Element/component part/also may be present except waiting other element/component part/etc.;Term " first " and " second " etc. are only made It is used for label, is not the quantity limitation to its object.
In addition, attached drawing is only the schematic illustrations of the disclosure, it is not necessarily drawn to scale.Identical attached drawing mark in figure Note indicates same or similar part, thus will omit repetition thereof.Some block diagrams shown in attached drawing are work( Energy entity, not necessarily must be corresponding with physically or logically independent entity.
The disclosure provides firstly a kind of image processing apparatus, as shown in Figure 1, image processing apparatus includes image detection mould Block 101, image processing module 102 and driving processing module 103.Wherein, image detection module 101, for detecting figure to be projected The image data of picture;Image processing module 102 is divided into black surround image for receiving the image data, and by described image data Data and non-black surround image data;Processing module 103 is driven, for being controlled according to black surround image data and non-black surround image data Light valve component rotates, so that the reflected light in corresponding middle black surround region image to be projected is incident to light absorber, non-black surround region Reflected light is incident to projection lens.
The image data that image processing apparatus in the disclosure is obtained by image processing module according to image detection module, Image data is divided into black surround image data and non-black surround image data;Drive processing module according to black surround image data and Fei Hei Edge image data control light valve component rotates so that the corresponding reflected light in black surround region enters light absorber, and non-black surround region corresponds to Reflected light enter projection lens.So, black surround region can be effectively improved there are black surround caused by light reflection is not black The case where, image display quality is improved, user experience is improved.
In an exemplary embodiment of the disclosure, Fig. 2 shows a kind of structures of image detection module 101, such as Fig. 2 institutes Show, image detection module 101 can include average illumination level (Local APL) test cell 201 in subregion, histogram in subregion Max pixel value (Local Max RGB) test cell 203 in figure information (Local Histgram) test cell 202, subregion One or more of.Average illumination level test cell 201 is used to judge the brightness of each sectional image of image wherein in subregion Grade;Histogram information test cell 202 is used to judge the image brightness distribution of each sectional image of image in subregion;Figure in subregion As max pixel value test cell 203 is used to judge the max pixel value in each sectional image of image.
In an exemplary embodiment of the disclosure, Fig. 3 shows the structure of another image detection module 101, such as Fig. 3 institutes Show, image detection module 101 can also include image scaled detection unit 204, and image scaled detection unit 204 can be One or more of Letter Box, Pillar Box and Window Box, wherein Letter Box are for detecting picture Ratio is 2.35:1, there is the film mode image sensor (as shown in Figure 4 A) of black surround up and down, if image to be detected is picture Face ratio is 2.35:The image of 1 film mode, then Letter Box can quickly detect its aspect ratio;Pillar It is 4 that Box, which is for detecting aspect ratio,:3, there are the video image sensors of black surround (as shown in Figure 4 B) for left and right, if to be checked When altimetric image is video image, then its aspect ratio can be obtained by Pillar Box detections;Window Box are for detecting The imaging sensor (as shown in Figure 4 C) that there is black surround up and down, due to aspect ratio be not it is changeless, The image scaled that Window Box can be detected out can be set according to actual needs, quickly to detect the picture of image to be detected Ratio.Further, image processing module 102 can be detected according to image scaled detection unit 204 obtained aspect ratio and The ratio of width to height of projection screen obtains the accounting of black surround region on the projection screen in image to be detected, and is formed according to the accounting Black surround image data and non-black surround image data.Certainly, image detection module 101 can also include other for detecting black surround area The component in domain, details are not described herein for the disclosure.
In an exemplary embodiment of the disclosure, image processing module 102 detects obtained image according to image data 101 Image data can be divided into black surround image data and non-black surround image data by data.
According to the difference of signal type, picture signal can be divided into gamut signal (Full Range) and limitation range letter Number (Limit Range), and corresponding different types of picture signal, pixel value is also different, such as 8 Limit Range The pixel value range of picture signal is that the pixel value range of 16~235,8 Full Range picture signals is 0~255, wherein 16,0 black picture element is corresponded to, 235,255 correspond to white pixel;The pixel value range of 10 Limit Range picture signals is 64 The pixel value range of~960,10 Full Range picture signals is 0~1023, wherein 64,0 correspondence black picture element, 960, 1023 correspond to white pixel, etc..By taking one 8 Limit Range picture signals as an example, image detection module 101 is to the image Signal is detected the image data for obtaining each pixel in the picture signal, when image processing module 102 receives image detection When the image data that module 101 detects is 16, you can determine that the pixel is black picture element, image data is black surround image Data;When the image data that image processing module 102 receives the transmission of image detection 101 is more than 16, you can determine the pixel It is not black picture element, image data is non-black surround image data.
In an exemplary embodiment of the disclosure, image processing module 102 can pass through synchronous serial bus (I2C it) or goes here and there Black surround image data and non-black surround image data are delivered and stored in a rear module by row peripheral device interface (SPI), after this End module can be driving processing module 103, can also be between pattern process module 103 and driving processing module 103 Data cache module, which can be static memory (SRAM) or dynamic memory (DRAM), can also It is other storage mediums, the disclosure is not specifically limited this.
In an exemplary embodiment of the disclosure, driving processing module 103 can be according to black surround image data and non-black surround Image data controls light valve component rotation.When the data that scanning obtains are black surround image data, driving processing module 103 controls Light valve component rotates, so that reflex reflector lens are overturn along negative direction, the reflected light in correspondence middle black surround region image to be projected is entered It is incident upon light absorber;When the data that scanning obtains are non-black surround image data, driving processing module 103 controls light valve component and turns It is dynamic so that reflex reflector lens are overturn along positive direction, by correspondence in image to be projected the reflected light in non-black surround region be incident to projection Camera lens forms image to project to screen.
In an exemplary embodiment of the disclosure, image processing apparatus 100 can be used for digital optical processor projector, Correspondingly, light valve component can be digital micro-mirror device DMD, and surface is provided with multiple rotatable eyeglasses.Fig. 5 shows number The working mechanism of rotatable eyeglass on micro-mirror device, as shown in figure 5, rotatable eyeglass 501 and 502 chain of yoke (Yoke) below It connects, and is controlled by Torque force hinge joint 503 (Torsion Hinge), can be overturn along positive negative direction.When driving processing module 103 When the data of acquisition are non-black surround image data, rotatable eyeglass is controlled to overturn along positive direction, by the light reflection of light source To projection lens 504, and projects and form image on the screen;When the data that driving processing module 103 obtains are black surround picture number According to when, rotatable eyeglass is controlled to overturn along negative direction, by the light reflection of light source to light absorber 505, avoids to be not required to In the light projection to screen wanted, image display quality is reduced.
The disclosure additionally provides a kind of image processing method, and Fig. 6 shows the flow chart of image processing method, such as Fig. 6 institutes Show, the detailed process of image processing method is:
S601:Image detection module 101 detects image data image to be projected;
S602:Image processing module 102 receives described image data, and described image data are divided into black surround image data With non-black surround image data;
S603:Processing module 103 is driven to control light valve according to the black surround image data and the non-black surround image data Element, so that the reflected light in the corresponding middle black surround region image to be projected is incident to light absorber, the reflection in non-black surround region Light is incident to projection lens.
In an exemplary embodiment of the disclosure, image detection module 101 may include average illumination level survey in subregion Try unit 201, histogram information test cell 202 in subregion, one or more in subregion in max pixel value test cell 203 It is a.When detecting image data image to be projected using image detection module 101, this image to be projected can be divided into first Multiple sectional images;Then pass through histogram information test cell, subregion in average illumination level test cell in subregion, subregion One or more of interior max pixel value test cell detects brightness degree, Luminance Distribution, the maximum picture of multiple sectional images One or more of element value;Then image processing module 102 is according to one in brightness degree, Luminance Distribution, max pixel value It is a or multiple, the image data of multiple sectional images is divided into black surround image data and non-black surround image data;Finally by drive Dynamic processing module 103 is according to black surround image data and the control light valve component rotation of non-black surround image data, so that correspondence is to be projected The reflected light in black surround region is incident to light absorber in image, and the reflected light in non-black surround region is incident to projection lens.
Below to using histogram information test cell 202 in average illumination level test cell 201 in subregion, subregion, One or more of max pixel value test cell 203 distinguishes black surround region and non-black surround region in subregion, carries out specifically It is bright.
Image to be detected of 8 Limit Range is detected when using histogram information test cell 202 in subregion When, image to be detected subregion is formed into multiple sectional images first;Then histogram information test cell 202 in subregion is used to examine Luminance Distribution information in each sectional image is surveyed, in each pixel in scanning sectional image, if detecting the pixel of pixel Value is 16 and can determine that the pixel is black picture element, and corresponding image data is black surround image data;If detecting pixel Pixel value can determine more than 16 the pixel be non-black pixel, corresponding image data be non-black surround image data, into And the Luminance Distribution of each sectional image can be obtained;Finally according to the Luminance Distribution of each sectional image can determine black surround region and Non- black surround region can then determine that the sectional image belongs to black that is, when the pixel value of all pixels in sectional image is 16 Border region;When the pixel value of pixel in sectional image is not all 16, then the sectional image belongs to non-black surround region, then will belong to Sectional image connection in black surround region can determine that black surround region.
Certainly, pass through image max pixel value test cell in average illumination level test cell 201 in subregion, subregion 203 can also determine black surround region.Such as after 8 Limit Range image to be detected are divided into multiple sectional images, by point Average illumination level test cell 201 tests the average illumination level of each sectional image in image to be detected in area, due to black The brightness of color pixel is minimum, pixel value 16, then when the pixel for including in sectional image is black picture element, average brightness Grade less than part includes or the average illumination level of sectional image not comprising black picture element, thus may determine that average brightness Elementary sectional image belongs to black surround region, and corresponding image data is black surround image data;Obtain multiple block plans After the average illumination level of picture, the minimum sectional image of average illumination level can be filtered out, and connect the region of acquisition As black surround region.Likewise, the pixel value due to black picture element is minimum, such as black picture in 8 Limit Range picture signals It is 0, etc. that the pixel value of element, which is the pixel value of black picture element in 16,8 Full Range picture signals, therefore be may be used point Image max pixel value test cell 203 is detected multiple sectional images in area, determines that max pixel value is black picture element Pixel value (0,16,64 etc.) sectional image, then by those sectional images connection i.e. can determine black surround region.
Certainly, the disclosure can also be surveyed by histogram information in average illumination level test cell 201 in subregion, subregion Unit 202, multiple detection black surrounds region in subregion in max pixel value test cell 203 and non-black surround region are tried, with into one Step improves the accuracy of black surround region detection.
Further, when light valve component is digital micro-mirror device, driving processing module 103 can be according to the image of storage Data control the rotatable eyeglass rotation on digital micro-mirror device surface.It is received when driving the control unit in processing module 103 When black surround image data, rotatable eyeglass can be controlled and overturn along negative direction, the reflected light in corresponding black surround region is made to be incident to Light absorber;When driving the control unit in processing module 103 to receive non-black surround image data, then rotatable mirror is can control Piece is overturn along positive direction, so that the reflected light for corresponding to non-black surround region is incident to projection lens, and project formation figure on screen Picture.
Fig. 7 shows a kind of perspective view of digital optical processor projector, as shown in fig. 7, optical digital computing The laser signal that lasing light emitter 701 in device projector 700 is sent out is radiated at after poly- lens 702, colour wheel 703 and lens 704 Same rotatable mirror on piece on digital micro-mirror device 705, the rotatable eyeglass once inside out on 705 surface of digital micro-mirror device is only Reflect a kind of color, but its reversal rate can reach thousands of turns, when a large amount of rotatable eyeglasses with so fast speed into Row overturning, after light is projected by projection lens 706 on screen, due to the persistence of vision effect of human eye, human eye mistake will The primaries quickly flashed mix, and mixed color is then seen on the image of projection.
In an exemplary embodiment of the disclosure, image detection module 101 can also include image scaled detection unit 204, by detecting the aspect ratio of image to be detected, black surround region shared ratio on the projection screen can be obtained;Then Image processing module 102 according to black surround region on the projection screen shared ratio by image data be divided into black surround image data and Non- black surround image data;Light is controlled according to black surround image data and non-black surround image data finally by driving processing module 103 Valve components, so that the reflected light in corresponding middle black surround region image to be projected is incident to light absorber, the reflected light in non-black surround region It is incident to projection lens.
For example, when it is image to be projected be aspect ratio be 2.35:When 1 film mode image, the upper and lower of picture There are black surround region B, as shown in figure 8, the ratio of width to height of projection screen is 16:9, in order to make image to be projected to project projection screen On, and do not reduce picture quality, it is therefore desirable to it is waited for according to the calculating of the ratio of width to height of aspect ratio and projection screen image to be projected The accounting of black surround region on the projection screen in projected image.
The image-region accounting image to be projected shown on the projection screen:
Wherein, x is the width image to be projected shown on the projection screen, by can be calculated x=6.8085.
The black surround region accounting Y image to be projected shown on the projection screen is:
By can be calculated Y ≈ 0.12.Then, image processing module 102 can be calculated according to black surround region accounting Y and be projected The height in black surround region on screen, and the image data on projection screen in black surround regional extent is set as black surround picture number According to the image data in other regions is set as non-black surround image data.By taking one 32 cun of liquid crystal display as an example, width is 69cm, a height of 39cm are 0.12 according to black surround region accounting Y, and the height that can be calculated upper and lower black surround region is 4.68cm, figure As processing module 102 then can be by the region of 4.68cm at the top of the liquid crystal display and apart from liquid crystal display bottom edge 4.68cm The image data in region be set as black surround image data, the image data in other regions is set as non-black surround image data.It drives Dynamic processing module 103 is further according to black surround image data and the control light valve component rotation of non-black surround image data, so that corresponding black surround The reflected light in region is incident to light absorber, and the reflected light in corresponding non-black surround region is incident to projection lens, and in projection screen Upper formation image so ensure that normal display on the projection screen image to be projected, improve the presence of black surround region The not black problem of black surround caused by light reflection, improves image displaying quality, improves user experience.
Certainly, the other image frame ratios detected for image scaled detection unit 204, can also be according to above-mentioned think of Road carries out the calculating of black surround region accounting, to obtain black surround region accounting, and then obtains black surround image data and non-black surround image Data, and keep driving processing module incident according to the reflected light of black surround image data and non-black surround image data control black surround region To light absorber, the reflected light in non-black surround region is incident to projection lens.
The disclosure finally additionally provides a kind of laser projection device, as shown in figure 9, laser projection device 900 includes laser Device 901, light valve component 902 and image processing apparatus 903, the image processing apparatus 903 are the image processing apparatus in the disclosure, Laser projection device can be laser television, laser-projector etc..
Further, Figure 10 shows the image-forming principle of laser projection device, as shown in Figure 10, laser projection device 900 Can also include intelligent operating system apparatus for processing of video signals 904, with bluetooth module, WiFi module, infrared module, man-machine Interactive module and external voice box connection, and it is sent to image processing apparatus 903 by image to be projected;Image processing apparatus 903 with Refrigerating module, sensor assembly are connected with human eye protection module, and image information is sent to 902 He of light valve component by treated The light source driver module being connect with laser 901;Laser 901 sends laser signal under the control of light source driver module To light beam shaping module 905, then light passes through light valve component 902 successively, projection lens 906 projects on screen;Meanwhile swashing Light device 901 is also connect with radiating module, to maintain the normal work of laser 901.It is filled by using the image procossing of the disclosure It sets, the projected picture quality of laser projection device can be improved, improve the light reflection in black surround region, improve user experience.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or Person's adaptive change follows the general principles of this disclosure and includes the undocumented common knowledge in the art of the disclosure Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by appended Claim is pointed out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the attached claims.

Claims (13)

1. a kind of image processing apparatus, which is characterized in that including:
Image detection module, for detecting image data image to be projected;
Image processing module is divided into black surround image data and Fei Hei for receiving described image data, and by described image data Edge image data;
Processing module is driven, for controlling light valve component according to the black surround image data and the non-black surround image data, with The reflected light for corresponding to the middle black surround region image to be projected is set to be incident to light absorber, the reflected light in non-black surround region is incident to Projection lens.
2. image processing apparatus according to claim 1, which is characterized in that described image detection module includes being put down in subregion Histogram information test cell in equal brightness degree test cell, subregion, one in subregion in max pixel value test cell Or it is multiple;In the subregion average illumination level test cell be used for judge it is described it is image to be projected in each sectional image brightness Grade;In the subregion histogram information test cell be used to judge it is described it is image to be projected in each sectional image brightness point Cloth;In the subregion max pixel value test cell be used for judge it is described it is image to be projected in each sectional image maximum pixel Value.
3. image processing apparatus according to claim 1 or 2, which is characterized in that described image detection module includes image Scale detection unit, described image scale detection unit is for detecting the aspect ratio image to be projected.
4. image processing apparatus according to claim 1, which is characterized in that the black surround image data and the non-black surround Image data is stored in a data cache module or the driving processing module.
5. image processing apparatus according to claim 1, which is characterized in that the light valve component is digital micro-mirror device.
6. a kind of image processing method, which is characterized in that including:
Image detection module detects image data image to be projected;
Image processing module receives described image data, and described image data are divided into black surround image data and non-black surround image Data;
Processing module is driven to control light valve component according to the black surround image data and the non-black surround image data, so that corresponding The reflected light in the middle black surround region image to be projected is incident to light absorber, and the reflected light in non-black surround region is incident to projection lens Head.
7. image processing method according to claim 6, which is characterized in that described image detection module includes being put down in subregion Histogram information test cell in equal brightness degree test cell, subregion, one in subregion in max pixel value test cell Or it is multiple;Detecting image data image to be projected by image detection module includes:
Image to be projected it is divided into multiple sectional images by described;
Pass through histogram information test cell, the subregion in average illumination level test cell in the subregion, the subregion One or more of interior max pixel value test cell detects brightness degree, Luminance Distribution, the maximum picture of the sectional image One or more of element value.
8. image processing method according to claim 7, which is characterized in that image processing module receives described image number According to, and described image data are divided into black surround image data and non-black surround image data includes:
Described image processing module according to one in the brightness degree of the sectional image, Luminance Distribution, max pixel value or Multiple formation black surround image data and the non-black surround image data.
9. image processing method according to claim 6, which is characterized in that described image detection module includes image scaled Detection unit;Detecting image data image to be projected by image detection module includes:
The aspect ratio image to be projected is detected by described image scale detection unit.
10. image processing method according to claim 9, which is characterized in that image processing module receives described image number According to, and described image data are divided into black surround image data and non-black surround image data includes:
The black surround region is obtained in the projection according to the ratio of width to height of the aspect ratio and projection screen image to be projected Accounting in screen;
The black surround image data and the non-black surround figure are formed according to accounting of the black surround region in the projection screen As data.
11. according to claim 6-10 any one of them image processing methods, which is characterized in that the black surround image data and The non-black surround image data is sent to a data cache module or institute by synchronous serial bus or Serial Peripheral Interface State driving processing module.
12. image processing method according to claim 6, which is characterized in that the light valve component is digital micro-mirror device.
13. a kind of laser projection device, which is characterized in that including laser, light valve component and such as any one of claim 1-5 institutes The image processing apparatus stated.
CN201810245614.4A 2018-03-23 2018-03-23 Image processing apparatus, method and laser projection device Pending CN108495105A (en)

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