CN103458307A - Picture processing method and device - Google Patents

Abstract

A picture processing method comprises the following steps that parameter values input by a user are received; size parameters of a plurality of sets of frames are calculated according to the parameter values; target pictures are generated according to source image information and the size parameters of the frames, the target pictures comprise the frames and picture bodies embedded among the frames, and the frames are sequentially nested. The invention further provides a corresponding picture processing device. According to the picture processing method and device, the parameter values input by the user can be used for regulating the thicknesses or the quantity or the like of the frames, the three-dimensional effect of the target pictures is provided for the user visually through the frames which are sequentially nested, the frame parameters are set by the user, the interaction function is achieved, and different user requirements can be met.

Description

Image processing method and device

Technical field

The present invention relates to image processing field, particularly relate to a kind of image processing method and device.

Background technology

Television set is the product that radio communication combines with broadcast, and its appearance has changed the mankind's life, Information Communication and the mode of thinking.Television set has entered huge numbers of families, and nowadays, its function not only has been confined to watch programme televised live, obtains Domestic News, has accepted long-distance education etc., also as the part of interior decoration ornaments, is one of requisite household electrical appliances of family simultaneously.Television set is the equipment of visual pattern of the method transmission activity immediately of electricity consumption.After the transmitting terminal of television equipment is the signal of telecommunication to each fine part of scenery by brightness and chroma conversion, order transmits.The brightness and the colourity that manifest each fine part by corresponding geometric position at receiving terminal are reappeared the view picture original image.

Yet people are when seeing TV, the distance of people and TV is normally fixing, is the distance of sofa and video screen, and the while picture size also fixes, and causes on visual effect more singlely, and visual effect has certain limitation.

Summary of the invention

Based on this, be necessary to provide the better image processing method of a kind of visual effect and device.

A kind of image processing method, comprise the steps:

Receive the parameter value of user's input;

Obtain the dimensional parameters of many group frames according to described parameter value calculation;

According to the dimensional parameters of source image information and described a plurality of frames, generate target image, described target image comprises a plurality of nested frames successively and is embedded in the image in the middle of frame.

In one of them embodiment, the thickness of described a plurality of frames is from successively decreasing successively outside to inside.

In one of them embodiment, described a plurality of frames are rectangle, and the thickness of its long limit and broadside is from meeting respectively outside to inside:

${\mathrm{hw}}_i=\frac{a*b*m}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

${\mathrm{hm}}_i=\frac{a*b*w}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

Hw _ifor from the thickness of the broadside of i frame outside to inside, hm _ifor from the thickness on the long limit of i frame outside to inside, the parameter value that described user inputs is at least one value in a, b, n, and its residual value is preset value.

In one of them embodiment, 1/2nd of the length that described m is described target image, 1/2nd of the width that described w is described target image.

In one of them embodiment, at the dimensional parameters according to source image information and described a plurality of rectangular shaped rim, generate target image, described target image comprises a plurality of nested rectangular shaped rim successively and is embedded in the step of the image in the middle of frame, the described middle image of frame that is embedded in is obtained by described source image information mapping, and mapping relations are for to dwindle described source images according to following ratio:

$\frac{m}{m-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hw}}_i}$ Or $\frac{w}{w-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hm}}_i}.$

A kind of image processing apparatus comprises:

Input module, for receiving the parameter value of user's input;

Computing module, for obtaining the dimensional parameters of many group frames according to described parameter value calculation;

The image generation module, for the dimensional parameters according to source image information and described a plurality of frames, generate target image, and described target image comprises a plurality of nested frames successively and is embedded in the image in the middle of frame.

In one of them embodiment, the thickness of described a plurality of frames that described computing module calculates is from successively decreasing successively outside to inside.

In one of them embodiment, described a plurality of frames that described computing module calculates are rectangle, and the thickness of its long limit and broadside is from meeting respectively outside to inside:

${\mathrm{hw}}_i=\frac{a*b*m}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

${\mathrm{hm}}_i=\frac{a*b*w}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

Hw _ifor from the thickness of the broadside of i frame outside to inside, hm _ifor from the thickness on the long limit of i frame outside to inside, the parameter value that described user inputs is at least one value in a, b, n, and its residual value is preset value.

In one of them embodiment, 1/2nd of the length that described m is described target image, 1/2nd of the width that described w is described target image.

In one of them embodiment, the described middle image of frame that is embedded in that described image generation module generates is obtained by described source image information mapping, and mapping relations are for to dwindle described source images according to following ratio:

$\frac{m}{m-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hw}}_i}$ Or $\frac{w}{w-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hm}}_i}.$

Above-mentioned image processing method and device, the parameter value of user input can be thickness for regulating frame or the quantity of frame etc., visually target image is produced to 3D effect by a plurality of nested frames successively to the user, and described frame parameter is set by the user, realize interactive function, can meet the needs of different users.

The thickness of described a plurality of nested frames successively, from successively decreasing successively outside to inside, can represent the 3D effect that is really.

The long limit of described a plurality of rectangular shaped rim and the thickness of broadside are followed above-mentioned relation, make target image more meet the stereoeffect of 3D vision.

The accompanying drawing explanation

The flow chart of steps of the image processing method that Fig. 1 is a preferred embodiment of the present invention;

The display effect schematic diagram that Fig. 2 is the described target image of Fig. 1 of the present invention;

Fig. 3 is that in Fig. 1 of the present invention, seal ring thickness concerns the mathematical modeling schematic diagram;

The functional block diagram of the image processing apparatus that Fig. 4 is a preferred embodiment of the present invention.

Embodiment

As shown in Figure 1, the flow chart of steps of its image processing method that is a preferred embodiment of the present invention, comprise the steps:

Step S101, receive the parameter value that the user inputs.

Step S102, obtain the dimensional parameters of organizing frames according to described parameter value calculation more.

Step S103, according to the dimensional parameters of source image information and described a plurality of frames, generate target image, and described target image comprises a plurality of nested frames successively and is embedded in the image in the middle of frame.

In above-mentioned image processing method, the parameter value of user input can be thickness for regulating frame or the quantity of frame etc., visually target image is produced to 3D effect by a plurality of nested frames successively to the user, and described frame parameter is set by the user, realize interactive function, can meet the needs of different users.

Observe the near big and far smaller principle of object according to eyes, thereby realize the 3D effect with depth of field.In the present embodiment, the thickness of described a plurality of nested frames successively is from successively decreasing successively outside to inside.As shown in Figure 2, its display effect schematic diagram that is the described target image 400 of Fig. 1.Four rectangular shaped rim 401～404 are nested successively with target image 405, and the thickness h of frame 401～404 successively decreases successively, black and white for example can be set alternately, or other colors that replace.

Refer to Fig. 3, the rectangular shaped rim thickness relationship mathematical modeling schematic diagram that it is a preferred embodiment of the present invention, wherein, the O point is the vision point, i.e. eye position, it is positioned on the perpendicular bisector of screen 200, with screen distance be a.Due to O on the perpendicular bisector of screen 200, therefore the length that m is screen 200 (equaling described target image length) 1/2nd; B is vision depth of field interval.Oneself thickness h w of broadside outside to inside that the focus that obtains the line of critical point of O point and a plurality of vision depth of field interval b and screen 200 can be determined a plurality of frames ₁, hw ₂, according to the following equation that is easy to get of the right-angled triangle principle of similitude in Fig. 3:

，

$\frac{2b}{a+2b}=\frac{{\mathrm{hw}}_2+{\mathrm{hw}}_1}{m},$

……

$\frac{(i-1)b}{a+(i-1)b}=\frac{{\mathrm{hw}}_{i-1}+......+{\mathrm{hw}}_2+{\mathrm{hw}}_1}{m},$

$\frac{\mathrm{ib}}{a+\mathrm{ib}}=\frac{{\mathrm{hw}}_i+{\mathrm{hw}}_{i-1}+......+{\mathrm{hw}}_2+{\mathrm{hw}}_1}{m},$

The right and left correspondence of adjacent two equatioies is subtracted each other, and computational process is as follows:

$\frac{\mathrm{ib}}{a+\mathrm{ib}}-\frac{(i-1)b}{a+(i-1)b}=\frac{{\mathrm{hw}}_i+{\mathrm{hw}}_{i-1}+......+{\mathrm{hw}}_2+{\mathrm{hw}}_1}{m}-\frac{{\mathrm{hw}}_{i-1}+......+{\mathrm{hw}}_2+{\mathrm{hw}}_1}{m},$

Simple arrangement can obtain:

${\mathrm{hw}}_i=\frac{a*b*m}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

The thickness on the long limit of frame in like manner can obtain, and according to mathematical conversion, can obtain:

${\mathrm{hm}}_i=\frac{a*b*w}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

Hw _ifor from the thickness of the broadside of i frame outside to inside, hm _ifor from the thickness on the long limit of i frame outside to inside, 1/2nd of the length that described m is screen 200,1/2nd of the width that described w is screen 200.N is frame quantity, and the parameter value of described user's input is at least one value in a, b, n.Its residual value, when the user does not input, adopt the preset value of system.Frame shown in Fig. 3 has four, i.e. n=4.

What deserves to be explained is, as n=1 be here, mean a frame only is set, is common frame, and the user can also arrange other attributes of frame, such as the thickness parameters on each limit of color and frame etc.

Please consult again Fig. 2, the size that the original size of described source images is screen 200, i.e. long 2*m, wide 2*w simultaneously.After frame is set, source images is mapped in frame, and its mapping relations only need get final product source images is scaled, because the reduce in scale of length and width is identical, so reduce in scale is:

$\frac{m}{m-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hw}}_i}$ Or $\frac{w}{w-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hm}}_i}.$

It is the thickness sum that long limit that the described long limit of image be embedded in the middle of frame equals source images deducts All Border on long side direction.

So, the user sees is more real and meets the stereoeffect image of 3D vision.

As shown in Figure 4, the functional block diagram of its image processing apparatus that is a preferred embodiment of the present invention 50 comprises:

Input module 501, for receiving the parameter value of user's input.

Computing module 503, for obtaining the dimensional parameters of many group frames according to described parameter value calculation.

Image generation module 505, for the dimensional parameters according to source image information and described a plurality of frames, generate target image, and described target image comprises a plurality of nested frames successively and is embedded in the image in the middle of frame.

Above-mentioned image processing apparatus 50, the parameter value of user input can be width for regulating frame or the quantity of frame etc., visually target image is produced to 3D effect by a plurality of nested rectangular shaped rim successively to the user, and described frame parameter is set by the user, realize interactive function, can meet the needs of different users.

Observe the near big and far smaller principle of object according to eyes, in the present embodiment, the thickness of described a plurality of nested frames successively is from successively decreasing successively outside to inside.

In the present embodiment, the described frame that computing module 503 calculates is rectangle, and its thickness relationship is as follows:

${\mathrm{hw}}_i=\frac{a*b*m}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

${\mathrm{hm}}_i=\frac{a*b*w}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

Hw _ifor from the thickness of the broadside of i frame outside to inside, hm _ifor from the thickness on the long limit of i frame outside to inside, 1/2nd of the length that described m is described target image, 1/2nd of the width that described w is described target image, n is frame quantity.The parameter value of described user's input is at least one value in a, b, n.Its residual value, when the user does not input, adopt the preset value of system.

After frame is set, source images is mapped in frame, and image generation module 505 gets final product source images is scaled, because the reduce in scale of length and width is identical, so reduce in scale is:

$\frac{m}{m-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hw}}_i}$ Or $\frac{w}{w-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hm}}_i}.$

It is the thickness sum that long limit that the described long limit of image be embedded in the middle of frame equals source images deducts All Border on long side direction.

So, the user sees is more real and meets the stereoeffect image of 3D vision.

The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.

Claims (10)

1. an image processing method, is characterized in that, comprises the steps:

Receive the parameter value of user's input;

Obtain the dimensional parameters of many group frames according to described parameter value calculation;

According to the dimensional parameters of source image information and described a plurality of frames, generate target image, described target image comprises a plurality of nested frames successively and is embedded in the image in the middle of frame.

2. image processing method according to claim 1, is characterized in that, the thickness of described a plurality of frames is from successively decreasing successively outside to inside.

3. image processing method according to claim 1, is characterized in that, described a plurality of frame rectangles are rectangle, and the thickness of its long limit and broadside is from meeting respectively outside to inside:

${\mathrm{hw}}_i=\frac{a*b*m}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

${\mathrm{hm}}_i=\frac{a*b*w}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

Hw _ifor from the thickness of the broadside of i frame outside to inside, hm _ifor from the thickness on the long limit of i frame outside to inside, the parameter value that described user inputs is at least one value in a, b, n, and its residual value is preset value.

4. image processing method according to claim 3, is characterized in that, 1/2nd of the length that described m is described target image, 1/2nd of the width that described w is described target image.

5. image processing method according to claim 4, it is characterized in that, at the dimensional parameters according to source image information and described a plurality of rectangular shaped rim, generate target image, described target image comprises a plurality of nested rectangular shaped rim successively and is embedded in the step of the image in the middle of frame, the described middle image of frame that is embedded in is obtained by described source image information mapping, and mapping relations are for to dwindle described source images according to following ratio:

$\frac{m}{m-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hw}}_i}$ Or $\frac{w}{w-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hm}}_i}.$

6. an image processing apparatus, is characterized in that, comprises the steps:

Input module, for receiving the parameter value of user's input;

Computing module, for obtaining the dimensional parameters of many group frames according to described parameter value calculation;

The image generation module, for the dimensional parameters according to source image information and described a plurality of frames, generate target image, and described target image comprises a plurality of nested frames successively and is embedded in the image in the middle of frame.

7. image processing apparatus according to claim 6, is characterized in that, the thickness of described a plurality of frames that described computing module calculates is from successively decreasing successively outside to inside.

8. image processing apparatus according to claim 6, is characterized in that, described a plurality of frames that described computing module calculates are rectangle, and the thickness of its long limit and broadside is from meeting respectively outside to inside:

${\mathrm{hw}}_i=\frac{a*b*m}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

${\mathrm{hm}}_i=\frac{a*b*w}{(a+b*i)[a+b(i-1)]},(i=\mathrm{1,2,3}......n);$

Hw _ifor from the thickness of the broadside of i frame outside to inside, hm _ifor from the thickness on the long limit of i frame outside to inside, the parameter value that described user inputs is at least one value in a, b, n, and its residual value is preset value.

9. image processing apparatus according to claim 8, is characterized in that, 1/2nd of the length that described m is described target image, 1/2nd of the width that described w is described target image.

10. image processing apparatus according to claim 9, is characterized in that, the described middle image of frame that is embedded in that described image generation module generates is obtained by described source image information mapping, and mapping relations are for to dwindle described source images according to following ratio:

$\frac{m}{m-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hw}}_i}$ Or $\frac{w}{w-\underset{i=1}{\overset{i}{\mathrm{\Σ}}}{\mathrm{hm}}_i}.$

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