CN101241593A - Picture layer image processing unit and its method - Google Patents
Picture layer image processing unit and its method Download PDFInfo
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- CN101241593A CN101241593A CNA2007100065877A CN200710006587A CN101241593A CN 101241593 A CN101241593 A CN 101241593A CN A2007100065877 A CNA2007100065877 A CN A2007100065877A CN 200710006587 A CN200710006587 A CN 200710006587A CN 101241593 A CN101241593 A CN 101241593A
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Abstract
The present invention provides an image processing device and a method using the same, especially using difference of scaled images as layered image. An original image is converted into scales scaled images by using Gaussian and Laplacian pyramid theory, and the difference between adjacent scaled images is used as layered image of corresponding layer, each layered image shows edge and bar features of scenery in original image respectively corresponding with various degree from fine to sparse step by step, and an image layer interface and an image feature editing interface are provided. The user can inspect each layered image by the image layer interface, and process editing or other special operation to each layered image by the image features editing interface according with actual need, and simulates to various visual effect based on various visual models.
Description
Technical field
The invention relates to a kind of image processor and method thereof, especially refer to the image processor and the method thereof of a kind of difference value (difference) with different scale image (scaled images) as picture layer image (layered image), make the user be able to scenery edge (edge) and lines (bar) feature in this picture layer image respectively, compile or other special effect processing, with on different vision modes basis, simulate different visual effects.
Background technology
General commercially available various image processing software, be equipped with the processing capacity of figure layer, that is in a file, make every frame image reside in respectively on the figure layer, consult shown in Figure 1, the user the every frame image 110,120 in the file is handled (as: compile or synthetic) preceding, essential foundation earlier schemed layer 111,121, or when needed, just increases the figure layer, 130 on painting canvas is positioned at the bottom of All Layers 111,121, and itself is not the figure layer.Therefore, figure layer 111,121 is just as folded mutually layer by layer dianegative, figure layer 111,121 image 110,120 that can assist in user's constituent act, make the user on a figure layer 111, compile image 110, and do not influence image 120 on another figure layer 121, when not having image (being askiatic 110) in the figure layer 111, the penetrable figure layer 111 of user is seen the image 120 on the below figure layer 121.In addition, the user still can inspect the stacking order of figure layer and image on the figure layer display panel that various image processing software provided, the order that this also occurs hereof for them.General speech, various image processing software all comes storehouse figure layer in proper order according to the foundation of figure layer, the figure layer of setting up can be placed on the top of storehouse recently, the order of storehouse can determine the image overlapping image to another figure layer how on the figure layer, so the user can be by the control interface that image processing software provided, rearrange the order of figure layer and image, to change the presentation content that file was presented.
Image processing software with commercially available Photoshop by name is an example, consult shown in Figure 2, when user's desire synthesizes one with two images 210,220, can be on the figure layer display panel that this image processing software provides, two images 210,220 are based upon on two figure layers in regular turn, then, adjust respectively this image 210,220 can synthesize an image 310 as shown in Figure 3 to required size and position.Consult shown in Figure 4, if the user desires on figure layer display panel 400, compile first image 410, can be at first image 410 on first figure layer 411, click [newly-increased shielding] button 450, on first figure layer 411, set up a shielding 440, consult shown in Figure 5, and in instrument menu 470, choose a Brush Tool 471, consult Fig. 5 and shown in Figure 6, and use 471 pairs of these shieldings 440 of selected Brush Tool to smear, to set black for corresponding to dark-coloured position on second image 420 of second figure layer 421 in this shielding 440, at this moment, if the user selects gently to execute the pressure of Brush Tool 471, still can adjust the transparency of black, first image 410 (being prospect) of first figure layer 411 is incorporated in second image 420 (being background) of second figure layer 421, make a formed resultant image 430 have best synthetic effect.
According to the above as can be known, described commercially available various image processing software, though utilize the notion and the skill and technique of figure layer, make the user that the instrument that is provided can be provided, image on each figure layer is compiled, or rearranged image order on each figure layer, and use synthetic (Image composition) technology of image to come the simulated digital dark place, finish the compiling and synthetic processing of image, but can't make image present effect on the different vision modes.
LMS is a kind of color space (color space), reaction (response) in order to three kinds of cones representing human eyes, that is they are for growing (long) wavelength (wavelength), middle (medium) wavelength reaches the susceptibility (sensitivity) of lacking coloured light such as (short) wavelength, the square section of the retinal cortex layer system (Retinal-Cortical system) of human eyes has comprised very complicated neural link, general understanding only terminates in LMS cone (cone), yet, at it more in the deep structure, also comprise the similar tree-shaped structure of a strain strain, the tree root of described structure is that a plurality of cones are linked together, form so-called gangliocyte (ganglion cell), and constitute many photoreception districts (receptive field) with this.Though neural physicist quite understands the method for the retinal cortex layer system of human eyes to visual imaging, but also only terminate in the edge and increase apparent (Edge Enhancement) effect, this be because of, the distribution mode of the gangliocyte of different sizes, be by little and the earth is distributed to the retinal periphery area from eye socket (fovea), so basic vision image-forming principle in fact by the sight line center to peripheral fast quick depletion, old friend's class eyes are when watching scenery, the image that fixation point of its eyes (fixation point) or gaze area (perceptual field) are experienced, can't be as camera or the video camera, consult shown in Figure 7, each position homogeneous on the image 510 is treated as benevolence, in fact, consult shown in Figure 8, human eyes only can be stared the time more of a specified duration to oneself interesting zone (as cross area) 520, therefore, fixation point or gaze area different and stare the difference of degree, promptly can be in the imaging region of human brain, consult shown in Figure 9ly, same scenery is produced the image 530 of different vision mode effects.
In recent years, a kind of being referred to as " shielding of sharpening " (Unsharp-Masking, be called for short USM) be widely used in various traditional image processing software, for the user image is carried out special effect processing, yet, the operation program no matter described image processing software uses why, its major technology core all is to utilize the edge of Gauss's granny rag Lars (Laplacian of Gaussian) to increase apparent (EdgeEnhancement) technology and notion, the effect in photoreception district in the simulated human vision (receptive field), but its computing all only is image to be done single-order handle, and can't make image present the effect of different vision modes.
Summary of the invention
Because traditional various image processing software can't make image present the shortcoming of different vision mode effects, the inventor is through the permanent research and experiment of making great efforts, finally development and Design goes out image processor and the method thereof of a kind of difference value with the different scale image of the present invention as picture layer image, phase is in the time of making the user that image is compiled, can watch fixation point, the gaze area of scenery or stare the difference of degree according to human eyes, simulate in the human brain imaging region image the different vision mode effects that same scenery produced.
One of the object of the invention, be to utilize Gauss and granny rag Lars pyramid (Gaussian andLaplacian pyramid) theory, one raw video is converted to the yardstick image (scaled images) of a plurality of different scales, and with the difference value between adjacent yardstick image as the picture layer image on the corresponding diagram layer (layered image), make that respectively this picture layer image can be in regular turn with clear extremely in various degree coarse, present the edge and the lines feature of scenery in this raw video respectively, and by providing a picture layer image display interface and an image characteristics to compile interface, make the user inspect respectively this picture layer image by this picture layer image display interface, and according to the actual requirements, compile interface by this image characteristics, to this picture layer image respectively, compile or other special effect processing, with on different vision modes basis, simulate different visual effects.
Another object of the present invention, be to provide a picture layer image to compile interface, this picture layer image is compiled interface and is comprised that a picture layer image compiles window, this picture layer image is compiled respectively this picture layer image or the described picture layer image resultant image formed of window in compiling in order to demonstration, its periphery is provided with at least one picture layer image characteristic and adjusts button, click for the user, adjust in order to contrast (contrast) or fuzzy index (Gaussian variance) to this picture layer image; At least one adjusted size button clicks for the user, in order to the adjustment that this picture layer image or this resultant image are amplified or dwindle; And the synthetic switch bar of at least one image, click for the user, compile window, to select to present respectively this picture layer image or resultant image in order to switch this picture layer image, make the user browse respectively this picture layer image or resultant image in compiling by clicking the synthetic switch bar of this image.
Another purpose of the present invention is that an image output interface is being provided, and is integrated into a new image in order to will finish respectively this picture layer image of compiling, and will this new video conversion becomes the image file of specified format, for outputs such as deposit, demonstration or printings.
Description of drawings
Fig. 1 is the synoptic diagram of image and figure layer in traditional various image file;
Fig. 2 is the synoptic diagram of two images;
Fig. 3 utilizes the image processing software of Photoshop two images shown in Figure 2 to be synthesized one synoptic diagram;
Fig. 4 utilizes the operation chart of the image processing software of Photoshop to the newly-increased shielding of resultant image shown in Figure 3;
Fig. 5 is the synoptic diagram of instrument menu of the image processing software of Photoshop;
Fig. 6 is that the newly-increased shielding of the image processing software utilization of Photoshop is finished the synthetic synoptic diagram of handling to image shown in Figure 3;
Fig. 7 is the synoptic diagram of a certain scenery of camera or video camera shooting;
Fig. 8 is the synoptic diagram of human eyes to the interesting zone (as cross area) of a certain scenery;
Fig. 9 is that the simulated human eyes are stared the image synoptic diagram of time for a long time to interesting zone shown in Figure 8;
Figure 10 is the synoptic diagram in five vision mode spaces simulating according to the human visual perception experience;
Figure 11 is the synoptic diagram of five levels in vision mode shown in Figure 10 space;
Figure 12 utilizes Gauss and granny rag Lars pyramid theory, a frame raw video is converted to the synoptic diagram of the yardstick image (scaled images) of multiframe different scale;
Figure 13 is to the image difference value between the yardstick image of adjacent yardstick, performs mathematical calculations, and the image difference value to be tried to achieve, as the synoptic diagram of the picture layer image on the corresponding diagram layer;
Figure 14 is the configuration diagram of the image processor of a most preferred embodiment of the present invention;
Figure 15 is the synoptic diagram of the picture layer image display interface of image processor shown in Figure 14;
Figure 16 is the synoptic diagram that the image characteristics of image processor shown in Figure 14 is compiled interface;
Figure 17 is the synoptic diagram that the picture layer image of image processor shown in Figure 14 is compiled interface;
Figure 18 is the synoptic diagram of picture layer image display interface in the another most preferred embodiment of the present invention;
Figure 19 is the synoptic diagram of figure layer control panel in another most preferred embodiment again of the present invention; And
Figure 20 is the synoptic diagram of figure layer control panel in another most preferred embodiment again of the present invention.
Symbol description:
Image ... ... ... ... ..600
Material layers ... ... ... ... 610
The PCA layer ... ... ... ... 620
The separated time layer ... ... ... ... 630
The sketch layer ... ... ... ... 640
The super-resolution layer ... ... ... 650
The yardstick image ... ... ... 700,710,720,730,740,750
Picture layer image ... ... ... 701,711,721,731
Yardstick video conversion interface ... ... 800
The picture layer image display interface ... ... 810
Figure layer control panel ... ... ... 811,861,871,881
Figure layer display window ... ... ... 812
Compile activate key ... ... ... ..813
Figure layer display button ... ... ... ..814
Image characteristics is compiled interface ... ... 820
The image characteristics menu ... ... 821
The setup parameter menu ... ... ..822
LMS channel menu ... ... ... 823
Picture layer image is compiled interface ... ... 830
Picture layer image is compiled window ... ... 831
The picture layer image characteristic is adjusted button ... ... 832
The adjusted size button ... ... ... ..833
Image synthesizes switch bar ... ... 834
The image output interface ... ... ... 840
The shielding display window ... ... ... 862
The shielding menu ... ... ... 863
The shielding display button ... ... ... ..872
Blur or careful switch bar ... ... 882
The noise suppression button ... ... ... 883
Embodiment
For making purpose of the present invention, shape, constructing apparatus feature and effect thereof, be easier to be familiar with and understand, cooperate graphicly now for embodiment, be described in detail as follows:
General speech, by human visual system (human visual system), the edge of identification image and lines, it is a lead-pipe cinch, but in digital camera system, although used many quite complicated theory and algorithms,, still be difficult for imitating out human visual system's identification capability based on underlying cause:
1) error of raw video quantification and the noise that is sensed will change because of surveying brightness, cause the edge of image and lines zone to disappear, and can't present;
2) tram of the edge of image and lines can be subjected to quantization error and The noise, produces skew; And
3) in principle, the edge of object and lines should show its sharp keen brightness variation in the image, and this is its high frequency characteristics, and therefore any desire reduces the smothing filtering of image noise, all can cause the obfuscation (blurring) of edge region signals; In addition, because most edge-detection algorithms all is to adopt differential to handle, not only amplified high-frequency signal, simultaneously, also amplified noise, so still need it has been carried out smothing filtering, the effect of smothing filtering is according to the yardstick (scale) of the size (size) of wave filter and filtering and decide, bigger filter scale more can show large-scale brightness and change, but also makes the marginal position degree of accuracy that is detected poorer; Though less filter scale can be found out comparatively accurate marginal position, be easy to generate the marginal point of many mistakes.In addition, the influence of different scale image is also inequality, has belonged to difficultly so desire to find out a best scale that is useful in whole edges of an image, says nothing of and finds out an applicable yardstick at all images.
At present, in the image processing field, be acknowledged as best edge detection method, be a kind of " multiple dimensioned edge detection (multi-scale edge detection) method " by name, the key concept of this method is a smoothing filter (as: Gaussian filter) of using different scale (scale), circle round long-pending with raw video, to obtain the filtering image of different scale, filtering image to each yardstick extracts its edge again, at last, the marginal information of superimposed all yardsticks promptly forms final edge images.
One object can be presented in the image by different scale, with artificial example, when a camera to one from a distant place close gradually people, when extracting its image continuously, in the image that the number frame extracts, the range scale of people's face will be between the size (size) of 3 * 3 picture points to 300 * 300 picture points, or even bigger range of size between change, change along with people's face yardstick, the variation of face characteristic also will be presented on the several frame images that extracted continuously, the variation that is equivalent to face characteristic is to be imaged on continuously on cameraman's the retina, and make the cameraman on the retinal cortex layer (visual cortex) of its high-order Perception Area (high level perception), perceive unexpected quantum jump (quantum jumps), and under different scale, form the vision mode of different generations.
Consult Figure 10 and shown in Figure 11, when the size of image 600 is exaggerated (enlarged), complexity (complexity) degree of its epigraph structure (graph structure) will increase, make the feature performance on it become more obvious, therefore, if can set up the model of different generations under different scale, then a series of model can be used to form the model space (perceptual model space) of visually-perceptible.According to the experience of human visual perception as can be known, the model space of visually-perceptible can generally be divided into following five big levels (regimes):
(1) material (texture) layer (regime) 610: when a man-hour of looking into the distance a distant place,, generally all are colors, come out with cutting apart (segment) in people's face self imaging by the identification texture owing to can't pick out the image of people's face easily;
(2) the PCA layer 620: once be proved to be the feature that can present scenery in the image of medium scale (mid-scale);
(3) separated time (parts) layer 630: the resolution (higher resolutions) that tool is higher, can more clearly tell the image of people's face face (as: eyes, nose and face etc.), so can pick out the action (as: opening and action such as closure of eyes and nose) of people's face face more easily;
(4) sketch (Sketch) layer 640: the resolution that tool is higher (more higher resolutions), and can demonstrate more feature details, can more clearly tell the detail characteristic of people's face face according to this, as: eyelid, eyebrow and crow's feet etc.; And
(5) super-resolution (Super-resolution) layer 650: the resolution of tool superelevation (more higherresolutions), and to demonstrate more detail characteristic.
According to the above as can be known, any frame image all can be according to its different scale on the visually-perceptible space, and produces different vision modes.The present invention is promptly according to this theory, utilize Gauss and granny rag Lars pyramid (Gaussian and Laplacian pyramid) theory, consult shown in Figure 12, convert a frame raw video in the multiframe different scale vision mode yardstick image (scaled images) 700,710,720,730,740 and 750, consult shown in Figure 13, and yardstick image 700 at adjacent yardstick, 710,720 and 730 image difference value (image difference) performs mathematical calculations, with the image difference value of being tried to achieve, as the picture layer image on the corresponding diagram layer (layer) (layered image) 701,711,721 and 731, feasible respectively this picture layer image 701,711,721 and 731 can be in regular turn with clear in various degree coarse, present features such as edge on this raw video and lines respectively.In addition, the present invention and by providing a picture layer image display interface (layer interface) and an image characteristics to compile interface (editing interface), make the user inspect this raw video respectively this picture layer image 701,711,721 or 731 in the different scale vision mode by this picture layer image display interface, and compile interface to this picture layer image 701,711,721 or 731 respectively by this image characteristics, compile or other special effect processing, with demand according to the user, on different vision modes basis, simulate different visual effects.
What these need special one were carried be; aforementioned mathematical operation at the image difference value between the yardstick image of adjacent yardstick; be exposed in widely in the various document; though its operation method is according to actual demand and purpose; various variations are arranged; but its fundamental operation rule all is to utilize Gauss and the theoretical vision mode of granny rag Lars pyramid (Gaussianand Laplacian pyramid); to obtain features such as this raw video edge that the user expects in the different scale vision mode and lines; because described mathematical operation method or model are not the scope that desire of the present invention is advocated protection; so do not give unnecessary details its details at this, close first Chen Ming.
In the present invention's one most preferred embodiment, to consult shown in Figure 14ly, this image processor comprises following interface at least:
(1) one yardstick video conversion interface 800: consult shown in Figure 12 again, in order to read a raw video, and convert this raw video in a plurality of different scale vision modes yardstick image (scaledimages) 700,710,720,730,740 and 750, consult shown in Figure 13 again, and yardstick image 700 at adjacent yardstick, 710,720 and 730 image difference value performs mathematical calculations, and image difference value to be tried to achieve, as the picture layer image on the corresponding diagram layer (layered images) 701,711,721 and 731, feasible respectively this picture layer image 701,711,721 and 731 can be in regular turn with clear in various degree coarse, present features such as edge on this raw video and lines respectively;
(2) one picture layer image display interfaces 810: consult shown in Figure 15, this picture layer image display interface 810 comprises a plurality of figure layer control panel 811, each figure layer control panel 811 comprises that a figure layer display window 812 and one compile activate key 813, wherein this figure layer display window 812 is in order to show the picture layer image on the corresponding diagram layer, make the user inspect the picture layer image (layered image) of this raw video in the different scale vision mode by this figure layer display window 812, and judge whether according to this this picture layer image is respectively compiled or other special effect processing; This compiles activate key 813 in order to activate the program that these figure layer display window 812 shown picture layer images are compiled, and for the user this picture layer image is carried out various compiling;
(3) one image characteristicss are compiled interface 820: consult shown in Figure 16, this image characteristics is compiled interface 820 and is comprised a plurality of image characteristics menus 821, click for the user, with contrast (contrast), highlighted (highlight), middle accent (midtone), shade (shadow) and white balance characteristic values such as (white balance), compile and adjust this picture layer image of activating the program of compiling.
(4) one picture layer images are compiled interface 830: consult shown in Figure 17, this picture layer image is compiled interface 830 and is comprised that a picture layer image compiles window 831, this picture layer image is compiled respectively this picture layer image or the described picture layer image resultant image formed of window 831 in compiling in order to demonstration, its periphery is provided with at least one picture layer image characteristic and adjusts button 832, click for the user, adjust in order to contrast (contrast) or fuzzy index (Gaussian variance) to this picture layer image; At least one adjusted size button 833 clicks for the user, in order to the adjustment that this picture layer image or this resultant image are amplified or dwindle; And the synthetic switch bar 834 of at least one image, click for the user, compile window 831 in order to switch this picture layer image, to select to present respectively this picture layer image or resultant image, so, the user browses respectively this picture layer image or resultant image in compiling by clicking the synthetic switch bar 834 of this image; And
(5) one image output interfaces 840: be integrated into a new image in order to will finish respectively this picture layer image of compiling, consult shown in Figure 14ly again, and will this new video conversion become the image file of specified format, for outputs such as deposit, demonstration or printings.
In another most preferred embodiment of the present invention, consult Figure 15 and shown in Figure 17 again, also can on each figure layer control panel 811, set up a figure layer display button 814, click, whether compile the picture layer image that shows correspondence in the window 831 at this picture layer image in order to control for the user.So, the user can be according to actual demand, click respectively the figure layer display button 814 on this figure layer control panel 811, open or close corresponding picture layer image in this figure layer control panel 811 to be chosen in, and compile activate key 813 on this figure layer control panel 811 by clicking respectively, with decision those picture layer images are carried out and compiled or other special effect processing.
In the another most preferred embodiment of the present invention, consult Figure 16 and shown in Figure 180, also can on each figure layer control panel 861, set up a shielding display window 862 and a shielding menu 863, wherein this shielding menu 863 clicks the shielding that institute's desire is used for the user, and this shielding is presented at this shielding display window 862, in order to show the shielding on the corresponding diagram layer, the user can carry out various compiling to this shielding by clicking a plurality of image characteristics menus 821 that this image characteristics is compiled to be provided in the interface 820.
Again in another most preferred embodiment, consult Figure 17 and shown in Figure 19 in the present invention again, also can on each figure layer control panel 871, set up a shielding display button 872, click, whether compile with control and show this shielding in the window 831 at this picture layer image for the user.
In the present invention again in another most preferred embodiment, consult shown in Figure 16 again, also can compile and set up a setup parameter (profile) menu 822 on the interface 820, click for the user, whether carry out access with the existing setup parameter of picture layer image in order to decision at this image characteristics.
In the present invention again in another most preferred embodiment, consult shown in Figure 16ly again, also can compile and set up LMS channel (channel) menu 823 on the interface 820 at this image characteristics, click for the user, in order to choose the LMS channel.
In the present invention again in another most preferred embodiment, consult shown in Figure 20ly, also can on this figure layer control panel 881, set up a fuzzy or careful switch bar 882, click for the user, so that the picture point of picture layer image is blured or detailed-oriented adjustment.
In the present invention again in another most preferred embodiment, consult shown in Figure 20ly again, also can on this figure layer control panel 881, set up a noise suppression (Noise reduction) button 883, click for the user, with of the interference of effective noise picture layer image.
In addition; what need pay special attention to is; what reach described in the previous embodiment compiles and synthetic the processing; only be specific embodiments of the invention; the present invention is when actual applying; be not limited thereto; allly anyly be familiar with this skill person according to design concept of the present invention; utilize Gauss and granny rag Lars pyramid theory; convert a raw video to a plurality of different yardstick images (scaled images); and this raw video respectively this picture layer image in the different scale vision mode is shown by a picture layer image display interface; make the user compile interface to this picture layer image respectively by an image characteristics; compile or other special effect processing; with on different vision modes basis, simulate different visual effect persons, no matter mathematics converse routine is why on it; or it compiles and why synthesizes handling procedure, all belongs to the protection domain that the present invention advocates in this desire.
The above only is a specific embodiment of the best of the present invention, but structural attitude of the present invention is not limited thereto, and anyly is familiar with this skill person in field of the present invention, can think easily and variation or modification, all can be encompassed in the application's claim.
Claims (13)
1. the image treatment method of a picture layer image is applied on the computing machine, it is characterized in that, this disposal route comprises the following steps:
Convert a raw video to a plurality of yardstick images in the different scale vision mode, and with the difference value between adjacent yardstick image as the picture layer image on the corresponding diagram layer, make that respectively this picture layer image can present the edge and the lines feature of scenery in this raw video respectively in regular turn with clear extremely in various degree coarse;
Provide a picture layer image display interface, in order to show this raw video respectively this picture layer image in the vision mode of different scale; And
Provide an image characteristics to compile interface, in order to the characteristic of this picture layer image respectively, the special effect processing of compiling.
2. the method for claim 1 is characterized in that: also comprise providing a picture layer image to compile interface the resultant image that respectively this picture layer image in compiling in order to demonstration or described picture layer image are formed.
3. method as claimed in claim 2 is characterized in that: also comprise an image output interface is provided, be integrated into a new image in order to will finish respectively this picture layer image of compiling, and will this new video conversion become the image file of specified format.
4. the image processor of a picture layer image is characterized in that, this treating apparatus comprises:
One yardstick video conversion interface, in order to read a raw video, and convert this raw video in a plurality of different scale vision modes yardstick image, and perform mathematical calculations at the image difference value between the yardstick image of adjacent yardstick, and image difference value to be tried to achieve, as the picture layer image on the corresponding diagram layer, make that respectively this picture layer image can present edge and lines feature on this raw video respectively in regular turn with clear extremely in various degree coarse;
One picture layer image display interface, comprise a plurality of figure layer control panel, each figure layer control panel comprises that a figure layer display window and one compile activate key, wherein this figure layer display window is in order to show the picture layer image on the corresponding diagram layer, in order to inspect the picture layer image of this raw video in the vision mode of different scale by this figure layer display window; This compiles activate key in order to activate the program that the shown picture layer image of this figure layer display window is compiled; And
One image characteristics is compiled interface, comprises a plurality of image characteristics menus, in order to the characteristic value to this picture layer image of activating the program of compiling, compiles and adjusts.
5. device as claimed in claim 4 is characterized in that: comprise that also a picture layer image compiles interface, this picture layer image is compiled interface and is comprised:
One picture layer image is compiled window, the resultant image that respectively this picture layer image in compiling in order to demonstration or described picture layer image are formed;
At least one picture layer image characteristic is adjusted button, is located at the periphery that this picture layer image is compiled window, adjusts in order to contrast or fuzzy index to this picture layer image;
At least one adjusted size button is in order to the adjustment that this picture layer image or this resultant image are amplified or dwindle; And
At least one image synthesizes switch bar, compiles window in order to switch this picture layer image, to select to present respectively this picture layer image or resultant image.
6. device as claimed in claim 5, it is characterized in that: also comprise an image output interface, be integrated into a new image in order to will finish respectively this picture layer image of compiling, and will this new video conversion become the image file of specified format, for deposit, demonstration or printout.
7. device as claimed in claim 5 is characterized in that: also comprise a figure layer display button on each figure layer control panel, whether compile the picture layer image that shows correspondence in the window at this picture layer image in order to control.
8. device as claimed in claim 5, it is characterized in that: also comprise a shielding display window and a shielding menu on each figure layer control panel, wherein this shielding menu clicks the shielding that institute's desire is used for the user, and this shielding is presented at this shielding display window, in order to show the shielding on the corresponding diagram layer.
9. device as claimed in claim 8 is characterized in that: also comprise a shielding display button on each figure layer control panel, whether compile this shielding of demonstration in the window at this figure layer in order to control.
10. device as claimed in claim 5 is characterized in that: also comprise a fuzzy or careful switch bar on each figure layer control panel, in order to the picture point of picture layer image is blured or detailed-oriented adjustment.
11. device as claimed in claim 5 is characterized in that: also comprise a noise suppression button on each figure layer control panel, in order to of the interference of effective noise to picture layer image.
12. device as claimed in claim 5 is characterized in that: each image characteristics is compiled and is also comprised a setup parameter menu on the interface, whether carries out access with the existing setup parameter of picture layer image in order to decision.
13. device as claimed in claim 5 is characterized in that: each image characteristics is compiled and is also comprised a LMS channel menu on the interface, in order to choose the LMS channel.
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