CN104537608A - Image processing method and device - Google Patents
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- CN104537608A CN104537608A CN201410856265.1A CN201410856265A CN104537608A CN 104537608 A CN104537608 A CN 104537608A CN 201410856265 A CN201410856265 A CN 201410856265A CN 104537608 A CN104537608 A CN 104537608A
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- 238000003672 processing method Methods 0.000 title abstract 3
- 238000000034 method Methods 0.000 claims abstract description 48
- 230000015572 biosynthetic process Effects 0.000 claims description 16
- 238000003786 synthesis reaction Methods 0.000 claims description 16
- 230000009466 transformation Effects 0.000 claims description 14
- 230000004927 fusion Effects 0.000 claims description 11
- 230000013011 mating Effects 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 5
- IYLGZMTXKJYONK-ACLXAEORSA-N (12s,15r)-15-hydroxy-11,16-dioxo-15,20-dihydrosenecionan-12-yl acetate Chemical compound O1C(=O)[C@](CC)(O)C[C@@H](C)[C@](C)(OC(C)=O)C(=O)OCC2=CCN3[C@H]2[C@H]1CC3 IYLGZMTXKJYONK-ACLXAEORSA-N 0.000 claims description 3
- IYLGZMTXKJYONK-UHFFFAOYSA-N ruwenine Natural products O1C(=O)C(CC)(O)CC(C)C(C)(OC(C)=O)C(=O)OCC2=CCN3C2C1CC3 IYLGZMTXKJYONK-UHFFFAOYSA-N 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 8
- 238000012545 processing Methods 0.000 abstract description 2
- 230000037237 body shape Effects 0.000 abstract 1
- 210000003414 extremity Anatomy 0.000 description 39
- 230000008569 process Effects 0.000 description 10
- 238000001514 detection method Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 208000008589 Obesity Diseases 0.000 description 6
- 235000020824 obesity Nutrition 0.000 description 6
- 210000003205 muscle Anatomy 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 210000002414 leg Anatomy 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 210000003423 ankle Anatomy 0.000 description 1
- 238000004040 coloring Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 230000001808 coupling effect Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 210000002683 foot Anatomy 0.000 description 1
- 210000004013 groin Anatomy 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 210000003127 knee Anatomy 0.000 description 1
- 210000002445 nipple Anatomy 0.000 description 1
- 231100000289 photo-effect Toxicity 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/10—Selection of transformation methods according to the characteristics of the input images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
- G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
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- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Processing Or Creating Images (AREA)
- Image Processing (AREA)
Abstract
The invention discloses an image processing method and device, and belongs to the technical field of information. The image processing method is applied to the image processing device, a plurality of sets of template drawings are prestored in the device according to different limb areas of a human body, and each set of template drawings correspond to one set of target posture parameters. The method includes the steps that a human body photo input by a user is decomposed according to the different limb areas; the target posture parameters of different limb areas, input by the user are received; the template drawing with the highest matching degree is acquired from the prestored template drawings of the corresponding limb areas in accordance with the target posture parameters; the template drawing with the highest matching degree and the human body photo input by the user are synthesized and then output. By the adoption of the method and device, the expected human body shape effect can be achieved by the user without tedious operation, health and beautiful photos can be synthesized, fat and weird photos can also be synthesized, and therefore the interestingness is increased.
Description
Technical field
The present invention relates to areas of information technology, be specifically related to a kind of method and device thereof of image procossing.
Background technology
As the saying goes " people liked to be beautiful is owned by everyone ".Along with the progress of image processing techniques, the photos such as increasing U.S. face, skin makeup beautify software heaves in sight.But these softwares mainly concentrate on the image procossing of face, and can not meet user group stature being had to requirement.Existing general image process software, as Photoshop, although can be reached the effect of photo body shaping by the professional operation amendment of some technician, is required the professional height of technician, complicated operation, is not easy to user and uses.
A kind of method or application software is not also had can automatically personage's stature in picture to be beautified, to reach slender, healthy and strong effect at present.
Summary of the invention
The invention provides a kind of method and device thereof of image procossing, to reach the object of automatically being beautified by the stature of personage in photo, overcome the method complicated operation that above-mentioned existing picture beautifies, the defect being not easy to user's use.
The technical scheme that the present invention solves the problems of the technologies described above is as follows.
According to an aspect of the present invention, the method of a kind of image procossing provided, the method is applied to the device that can carry out image procossing, and this device prestores for the limbs region that human body is different and organizes Prototype drawing more, often organize the corresponding one group of figure's parameter of Prototype drawing, the method comprises:
The human body photo that user inputs is decomposed according to the difference in limbs region;
Receive the target figure parameter in the different limbs regions of user's input;
According to target figure parameter, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree;
Export after the human body photo that Prototype drawing the highest for matching degree and user input is synthesized.
Preferably, before the step exported after human body photo Prototype drawing the highest for matching degree and user inputted synthesizes, the method also comprises:
Identify the area of skin color in human body photo;
The figure of area of skin color is carried out similarity transformation, makes the size in area of skin color and the limbs region in Prototype drawing, position consistent.
Preferably, the formula calculating matching degree is:
Wherein, B
s1 value that in human body photo, pixel belongs to limbs region, B
tbe 1 value that in Prototype drawing, pixel belongs to limbs region, sum function representation calculates the number sum of 1 value point in human body photo, the described matching degree that namely s calculates.
Preferably, above-mentioned synthesis comprises the synthesis of lines of outline, and the mapping corresponding relation before and after synthesis is determined by the isoline method based on grid.
Preferably, above-mentioned synthesis comprises the fusion of brightness, and fusion formula is:
V
dst＝r*V
t+(1-r)*V
s；
Wherein r is the fusion ratio determined according to the input of user, V
tthe brightness value in certain pixel in the Prototype drawing matched, V
sthe brightness value of human body photo in respective pixel, V
dstit is the brightness value after merging.
Preferably, the method also comprises:
When receiving the instruction of again mating, prompting user inputs target figure parameter again;
Above-mentioned steps is repeated: according to the target figure parameter received after again receiving the target figure parameter of user's input, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree, export after the human body photo that Prototype drawing the highest for matching degree and user input is synthesized.
According to another aspect of the present invention, the device of a kind of image procossing provided, this device comprises:
Photo decomposing module, decomposes according to the difference in limbs region for human body photo user inputted;
Parameter receiver module, for receiving the target figure parameter in the different limbs regions of user's input;
Matching module, for according to target figure parameter, obtains the highest Prototype drawing of matching degree from the Prototype drawing in the corresponding limbs region prestored;
Synthesis module, exports after the human body photo for Prototype drawing the highest for matching degree and user being inputted synthesizes.
Preferably, this device also comprises:
Area of skin color identification module, for identifying the area of skin color in human body photo;
Similarity transformation module, for the figure of area of skin color is carried out similarity transformation, makes the size in area of skin color and the limbs region in Prototype drawing, position consistent.
Preferably, this device also comprises:
Reminding module, during for receiving the instruction of again mating, prompting user inputs target figure parameter again;
Replicated blocks, for again receive user input target figure parameter after repeat above-mentioned steps: according to receive target figure parameter, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree, export after the human body photo that Prototype drawing the highest for matching degree and user input is synthesized.
The invention provides a kind of method and device thereof of image procossing, automatically synthesized by the human body photo that the Prototype drawing prestored and user are inputted, make user not need loaded down with trivial details operation just can produce the build effect of the people wanted, meet human body photo and automatically to shape the demand of beautifying.The target figure parameter can chosen according to user due to synthetic effect adjusts at any time, also the Prototype drawing that obesity is made laughs can be comprised in template base figure, therefore user both can synthesize healthy beautiful photo, also can synthesize obesity, eccentric photo, add interest.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method for image procossing according to an embodiment of the invention;
Fig. 2 is the process flow diagram of the method for image procossing according to another embodiment of the present invention;
Fig. 3 is the process flow diagram that the details of the method for image procossing according to one embodiment of the invention realizes;
Fig. 4 is the exemplary block diagram of the device of image procossing according to an embodiment of the invention
。
Embodiment
Be described principle of the present invention and feature below in conjunction with accompanying drawing, example, only for explaining the present invention, is not intended to limit scope of the present invention.
Embodiment one
Fig. 1 is the process flow diagram of the method for image procossing according to an embodiment of the invention, the method of image procossing according to an embodiment of the invention is described below in conjunction with Fig. 1, the method is applied to the device that can carry out image procossing, this device includes but not limited to mobile phone, digital camera, flat board, computer etc., this device prestores for the limbs region that human body is different and organizes Prototype drawing more, often organize the corresponding one group of figure's parameter of Prototype drawing, as shown in Figure 1, the method comprises the following steps:
S100, by user input human body photo decompose according to the difference in limbs region.Human body photo is divided into arm regions, torso area, and the method for decomposition can be decomposed according to the eigenwert of human body zones of different, is judged by stratum's scope of the slope calculating human region outer contour;
The target figure parameter in the different limbs regions of S200, reception user input;
S300, according to target figure parameter, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree.The target figure parameter wherein inputted by inquiring user with prestore in system which organize figure's parameter corresponding, and then inquire corresponding Prototype drawing group, from this Prototype drawing group, obtain a Prototype drawing that matching degree is the highest as the object synthesized;
S400, the human body photo that Prototype drawing the highest for matching degree and user input synthesized after export.
The formula calculating above-mentioned matching degree is:
In this formula, B
s1 value (pixel in limbs region is designated as 1 in photo, be not designated as 0) that in human body photo, pixel belongs to limbs region, B
tbe 1 value (pixel in limbs region is designated as 1 in Prototype drawing, be not designated as 0) that in Prototype drawing, pixel belongs to limbs region, sum function representation calculates the number sum of 1 value point in human body photo, the described matching degree that namely s calculates.
Wherein, above-mentioned synthesis comprises the synthesis of lines of outline and the fusion of picture luminance, and the mapping corresponding relation before and after synthesis is determined by the isoline method based on grid, and the fusion formula that brightness is merged is:
V
dst＝r*V
t+(1-r)*V
s
In this formula, r is the fusion ratio determined according to the input of user, V
tthe brightness value in certain pixel in the Prototype drawing matched, V
sthe brightness value of human body photo in respective pixel, V
dstit is the brightness value after merging.
Above-mentioned target figure parameter includes but not limited to the obese degree, muscle display degree etc. of the human body after being out of shape, the present embodiment corresponds to by utilizing the target figure parameter by user inputs the figure's parameter prestored in system, thus filter out the Prototype drawing of corresponding group, a highest Prototype drawing of matching degree is obtained again in this Prototype drawing, the human body photo that this Prototype drawing and user input is synthesized, and then gets a desired effect.
Due to stalwartness, slender build can be stored in template picture library, the build of also can store obesity, making fun, therefore when user inputs target figure parameter, more selection can be had, both can synthesize healthy beautiful photo, and also can synthesize obesity, eccentric photo, add interest.
Embodiment two
Fig. 2 is the process flow diagram of the method for image procossing according to another embodiment of the present invention, and as shown in Figure 2, the method also comprises on the basis comprising above-mentioned steps S100, S200, S300 and S400:
S210, the area of skin color identified in human body photo.
S220, the figure of area of skin color is carried out similarity transformation, make the size in area of skin color and the limbs region in Prototype drawing, position consistent.
Wherein, the order of this step S210, S220 is not limited between step S300 and S400, also can between S200 and S300.
Optionally, the method also comprises:
When receiving the instruction of again mating, prompting user inputs target figure parameter again;
Above-mentioned steps is repeated: according to the target figure parameter received after again receiving the target figure parameter of user's input, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree, export after the human body photo that Prototype drawing the highest for matching degree and user input is synthesized.
Wherein, above-mentioned similarity transformation includes but not limited to areal map to carry out the rotation of picture, translation, convergent-divergent according to unique point, barycenter.
Above-mentioned barycenter is the average coordinates point of all pixel coordinates of connected region, and its coordinate computing formula is:
Wherein, n represents the number of pixels in areal map.
The present embodiment matches with the photo in template base after carrying out similarity transformation by photo user inputted again, limbs region in photo is similar to the limbs area size in Prototype drawing, and the limbs region corresponding with Prototype drawing, the limbs region in photo can better be mated.
Embodiment three
Fig. 3 is the process flow diagram that the details of the method for image procossing according to one embodiment of the invention realizes, and as shown in Figure 3, it realizes details and comprises the following steps:
S001 performs area of skin color and detects.Human body complexion is being added up to the fiducial interval drawing colour of skin color, utilizing this interval to split user's input picture, the pixel dropped in interval thinks area of skin color point.
S002 carries out preliminary Attitude estimation to area of skin color, and judge human body direction in the drawings to the length breadth ratio of skin tone detection region, barycenter, the person upright by picture rotation being if desired upwards.End user's face detection tech judges that human body photo is that front is shone or the back side is shone.
S003, under known human body pros and cons and upright prerequisite, utilizes human geometry to distribute and divides rough region.
S004 utilizes edge in estimation region, texture, and colouring information carries out feature point detection.The limbs region of the present embodiment process comprises arm, trunk and both legs.The unique point of concrete detection arm regions has on the shoulders, armpit, wrist, and the unique point of torso area has neck shoulder junction point of maximum curvature, nipple, navel, and the unique point in both legs region has groin, knee, ankle.
S005 utilizes feature detection result to judge Attitude estimation correctness, if feature point detection is correct, matching degree is high, then think that attitude detection is correct; Otherwise, re-start attitude detection.S002 ~ S005 iterative cycles, if all attitudes all correctly cannot detect unique point, then abandon synthesis, prompting user processes failure.
S006, on the basis detecting unique point, is split human region, is divided into more than neck, trunk, arm, leg.Wherein more than neck, hand and foot do not deal with.
S007 carries out similarity transformation in the region to segmentation, and by region barycenter, the positional information of unique point, is transformed to the mode unified with template.
S008 keeps in the areal map after conversion.
S009 collects the synthetic parameters that user selects, and comprises and is not limited to: sex, fat or thin degree, muscle degree, shade depth.
S010 template picture library, template picture library 041 is a picture library, according to zones of different (arm, trunk), and different sexes, different figure's parameter (fat or thin degree, different muscle strengths etc.) classification stores the various graphic templates of the different attitude of different limbs.Prototype drawing can be gray-scale map, and non-human part gray scale is 0, for human body parts gray scale is expressed as 1.042 stencil screen menu unit, finds qualified multiple template according to the limbs region inputted, sex, target figure parameter.
The synthetic parameters that S011 chooses according to user, filters out the subset meeting parameter from template base.
Areal map after S012 utilizes S007 to convert, mates the multiple Prototype drawing after S011 screening, matching formula successively, in the existing statement of embodiment one, repeats no more herein.
The template of coupling is carried out the inverse transformation of S007 step similarity transformation by S013, obtains the Prototype drawing corresponding with position in user's input figure.
S014 utilizes anamorphose algorithm, calculates the limbs areal maps transformed mappings relation to Prototype drawing, and deformation algorithm has and can use scheduling algorithm based on grid with based on line segment.
S015 utilizes transformed mappings relation to convert user's input figure, utilizes draw pixel color.
S016, merges Value (brightness) passage and template gray figure, fusion formula to hsv color space the color conversion in limbs region, in the existing statement of embodiment one, repeats no more herein.
S017, to converting the background empty portions caused, uses image repair algorithm to fill.Last generating pictures is shown on the display device.
The present embodiment by carrying out attitude detection to the human body photo of user's input before coupling action, tentatively judge whether this photo can merge with the photo in template base, increase and follow-up be matched to power, the occupying system resources that less unnecessary operating process causes.
Embodiment four
Fig. 4 is the exemplary block diagram of the device of image procossing according to an embodiment of the invention, describes the device of image procossing according to an embodiment of the invention below according to Fig. 4, and as shown in Figure 4, this device comprises:
Photo decomposing module 01, decomposes according to the difference in limbs region for human body photo user inputted;
Parameter receiver module 02, for receiving the target figure parameter in the different limbs regions of user's input;
Matching module 03, for according to target figure parameter, obtains the highest Prototype drawing of matching degree from the Prototype drawing in the corresponding limbs region prestored;
Synthesis module 04, exports after the human body photo for Prototype drawing the highest for matching degree and user being inputted synthesizes.
Wherein, this matching module utilizes formula:
Calculate matching degree, in this formula, B
s1 value that in human body photo, pixel belongs to limbs region, B
tbe 1 value that in Prototype drawing, pixel belongs to limbs region, sum function representation calculates the number sum of 1 value point in human body photo, the described matching degree that namely s calculates.
Synthesis module utilizes formula:
V
dst＝r*V
t+(1-r)*V
s
Calculate the brightness of each pixel after merging, to highlight the profile of muscle in photo, make the photo effect after synthesizing truer.In this formula, r is the fusion ratio determined according to the input of user, V
tthe brightness value in certain pixel in the Prototype drawing matched, V
sthe brightness value of human body photo in respective pixel, V
dstit is the brightness value after merging.
Optionally, the device of this image procossing also comprises:
Area of skin color identification module, for identifying the area of skin color in human body photo;
Similarity transformation module, for the figure of area of skin color is carried out similarity transformation, makes the size in area of skin color and the limbs region in Prototype drawing, position consistent.
Reminding module, during for receiving the instruction of again mating, prompting user inputs target figure parameter again;
Replicated blocks, for again receive user input target figure parameter after repeat above-mentioned steps: according to receive target figure parameter, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree, export after the human body photo that Prototype drawing the highest for matching degree and user input is synthesized.
The present invention by automatically being synthesized by the human body photo that the Prototype drawing prestored and user input, makes user not need loaded down with trivial details operation just can produce the build effect of the people wanted, and meets human body photo and automatically to shape the demand of beautifying.The target figure parameter can chosen according to user due to synthetic effect adjusts at any time, also the Prototype drawing that obesity is made laughs can be comprised in template base figure, therefore user both can synthesize healthy beautiful photo, also can synthesize obesity, eccentric photo, add interest.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. a method for image procossing, described method is applied to the device that can carry out image procossing, it is characterized in that, described device prestores for the limbs region that human body is different and organizes Prototype drawing more, and often organize the corresponding one group of figure's parameter of described Prototype drawing, described method comprises:
The human body photo that user inputs is decomposed according to the difference in limbs region;
Receive the target figure parameter in the different limbs regions of user's input;
According to described target figure parameter, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree;
Export after the human body photo that Prototype drawing the highest for matching degree and user input is synthesized.
2. the method for image procossing according to claim 1, is characterized in that, described the human body photo that Prototype drawing the highest for matching degree and user input synthesized after before the step that exports, described method also comprises:
Identify the area of skin color in described human body photo;
The figure of described area of skin color is carried out similarity transformation, makes the size in described area of skin color and the limbs region in described Prototype drawing, position consistent.
3. the method for image procossing according to claim 1, is characterized in that, the formula calculating described matching degree is:
Wherein, B
s1 value that in human body photo, pixel belongs to limbs region, B
tbe 1 value that in Prototype drawing, pixel belongs to limbs region, sum function representation calculates the number sum of 1 value point in human body photo, the described matching degree that namely s calculates.
4. the method for image procossing according to claim 1, is characterized in that, described synthesis comprises the synthesis of lines of outline, and the mapping corresponding relation before and after synthesis is determined by the isoline method based on grid.
5. the method for image procossing according to claim 1, is characterized in that, described synthesis comprises the fusion of brightness, and fusion formula is:
V
dst＝r*V
t+(1-r)*V
s；
Wherein r is the fusion ratio determined according to the input of user, V
tthe brightness value in certain pixel in the Prototype drawing matched, V
sthe brightness value of human body photo in respective pixel, V
dstit is the brightness value after merging.
6. the method for image procossing according to claim 1, is characterized in that, described method also comprises:
When receiving the instruction of again mating, prompting user inputs described target figure parameter again;
Above-mentioned steps is repeated: according to the target figure parameter received after again receiving the target figure parameter of user's input, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree, export after the human body photo that Prototype drawing the highest for matching degree and user input is synthesized.
7. a device for image procossing, is characterized in that, described device comprises:
Photo decomposing module, decomposes according to the difference in limbs region for human body photo user inputted;
Parameter receiver module, for receiving the target figure parameter in the different limbs regions of user's input;
Matching module, for according to described target figure parameter, obtains the highest Prototype drawing of matching degree from the Prototype drawing in the corresponding limbs region prestored;
Synthesis module, exports after the human body photo for Prototype drawing the highest for matching degree and user being inputted synthesizes.
8. device according to claim 7, is characterized in that, described device also comprises:
Area of skin color identification module, for identifying the area of skin color in described human body photo;
Similarity transformation module, for the figure of described area of skin color is carried out similarity transformation, makes the size in described area of skin color and the limbs region in described Prototype drawing, position consistent.
9. the device according to claim 7 or 8, is characterized in that, described device also comprises:
Reminding module, during for receiving the instruction of again mating, prompting user inputs described target figure parameter again;
Replicated blocks, for again receive user input target figure parameter after repeat above-mentioned steps: according to receive target figure parameter, from the Prototype drawing in the corresponding limbs region prestored, obtain the highest Prototype drawing of matching degree, export after the human body photo that Prototype drawing the highest for matching degree and user input is synthesized.
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|---|---|---|---|
| CN201410856265.1A CN104537608A (en) | 2014-12-31 | 2014-12-31 | Image processing method and device |
| PCT/CN2015/093026 WO2016107259A1 (en) | 2014-12-31 | 2015-10-28 | Image processing method and device therefor |
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|---|---|---|---|
| CN201410856265.1A CN104537608A (en) | 2014-12-31 | 2014-12-31 | Image processing method and device |
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