CN104008523A - Graphic processing method - Google Patents

Abstract

The invention belongs to the technical field of mobile terminal graphic processing, and provides a graphic processing method. The graphic processing method comprises the following steps that firstly, a graph to be processed is read in, and RGB data of each pixel of the graph are obtained; secondly, due to the fact that the digital graph is a set of the pixels, and basic units forming the digital graph are the pixels P, the RGB data of each read-in pixel P are processed; thirdly, according to the mode, selected by a user, of the graph to be processed, the NDK of an android system is adopted for packaging to generate an SO library, the SO library is used for calling a JNI, the graph is processed through the C language, a new graph of the corresponding processing effect is obtained, wherein the mode specifically comprises gray level graphic processing, negative film graphic processing, diffusion graphic processing, black and white graphic processing, illumination graphic processing, magnifying lens graphic processing and embossment graphic processing. The method has the advantages of being high in efficiency and low in resource.

Description

Graphic processing method

Technical field

The invention belongs to mobile terminal figure processing technology field, particularly a kind of graphic processing method that uses C language compilation under Android environment.

Background technology

Current universal along with mobile terminal of mobile telephone, takes pictures whenever and wherever possible and spreads to each corner in the world with mobile phone.

Along with increasing in a large number of figure, the pursuit of people to graphical personalisation and self-image, processes and has become a kind of great demand the various processing of figure.

Graphics process is to read one to be stored in local figure, then take this figure as egative film, according to the demand of oneself, carries out a large amount of data processings on this egative film, generates the method for the figure of oneself wanting.

Figure is a kind of of people's information that issue amount is larger on mobile social platform, and demand grows with each passing day.Therefore, keeping is the best mode of graphics process to taking of the high performance processing of figure and low internal memory.

When people upload in the process of figure in preparation, in advance figure is processed, if the processing time is oversize, user is lost patience; If it is too many to take mobile phone mobile terminal internal memory, can cause mobile terminal of mobile telephone slack-off and heating, also to user, cause bad experience; When how to keep figure to carry out high-performance treatments, committed memory is very little, is problem in the urgent need to address in pattern treatment procedure.

Therefore, mobile terminal figure processing technology field is badly in need of a kind of high-level efficiency, the graphic processing method that low-resource takies.

Summary of the invention

The invention provides a kind of graphic processing method, technical scheme is as follows:

Graphic processing method, wherein, comprises the steps:

Step 1, reads in figure to be processed, obtains the RGB data of each pixel of figure;

Step 2, because digital figure is the set of pixel, the base unit that forms digital figure is pixel P, therefore the RGB data to each the pixel P reading in are processed, wherein, R represents pure red pixel value, G represents pure green pixel values, and B represents pure blue pixel value;

Step 3, the graphics mode to be processed of selecting according to user, specifically comprise: gray scale graphics process, egative film graphics process, softening graphics process, black and white pattern processing, illumination figure processing, magnifier graphics process, relief pattern are processed, the NDK of employing Android system packs and generates SO storehouse, use SO storehouse to carry out calling of local edition interface JNI, realize C language figure is processed, obtain the new figure of respective handling effect, concrete steps are as follows:

First, wide and high according to figure, calculating pixel number, concrete formula is as follows:

Count＝W*H；

Wherein, Count represent pixel number, the line number of W representative of graphics, the height of H represent pixel;

Further, according to number of pixels Count, with JNI function, generate two-dimensional array, concrete formula is as follows:

CBuffer＝[W][H]，

Wherein, CBuffer represents two-dimensional array, the line number of [W] presentation video pixel, and the height of [H] presentation video pixel, member's number of two-dimensional array CBuffer is Count;

Further, circulation W*H time, respectively read pixel value;

Further, the algorithm of the graphics mode to be processed of selecting according to user, calculates respectively the value after each pixel is processed, and is deposited in two-dimensional array CBuffer;

Further, the two-dimensional array CBuffer generating, by the calling of JNI, is turned back to JAVA layer, and discharges array element, releasing memory; At JAVA layer, according to data, directly generate the new figure with respective handling effect.

Graphic processing method as above, wherein, the specific algorithm of gray scale graphics process is weighted average method, integer method, displacement method, mean value method, only gets green method, maximum value process, and concrete formula is as follows:

Weighted average method, GrayP=R*0.3+G*0.59+B*0.11,

Integer method, GrayP=(R*30+G*59+B*11)/100,

Displacement method, GrayP=(R*28+G*151+B*77) >>8,

Mean value method, GrayP=(R+G+B)/3,

Only get green, GrayP=G,

Maximum value process, GrayP=Max (R, G, B),

Wherein, GrayP represents the gray-scale value that pixel P is ordered, and R value represents pure red pixel value, and G value represents pure green pixel values, and B value represents pure blue pixel value;

Further, the GrayP trying to achieve according to any one method, by the ternary color dot (R in original RGB color model, G, B) value in R, G, B is unified to be replaced with GrayP, form new ternary color dot (GrayP, GrayP, GrayP), with it, replace original (R, G, B), form gray scale figure.

Graphic processing method as above, wherein, the specific algorithm of egative film graphics process is inverted value method, each pixel is carried out to inverted value calculating, concrete formula is as follows:

GrayPr＝255-R，

GrayPg＝255-G，

GrayPb＝255-B，

Wherein, GrayPr represents the inverted value of the pure red pixel value of pixel P, and GrayPg represents the inverted value of the pure green pixel values of pixel P, and GrayPb represents the inverted value of pixel P pure blue pixel value;

Further, according to the GrayPr trying to achieve, GrayPg, GrayPb, by the R in ternary color dot (R, G, the B) value in original RGB, G, B replaces with GrayPr, GrayPg, GrayPb respectively, forms new ternary color dot RGB (GrayPr, GrayPg, GrayPb), form egative film figure.

Graphic processing method as above, wherein, the specific algorithm of softening graphics process is: for each pixel value, adopt the mode loading of calculating respectively, by the ternary color dot (R in its original RGB color model, G, B) value is set to respectively it around 8 points and its correction factor added the mean value of the RGB of self after multiplying each other; Again according to two-dimensional Gaussian function, and then calculate the weight of each point, adopt normal distribution curve to distribute the weight of each point, calculate weighting draw value, with weighted mean value, replace original RGB, form softening figure.

Graphic processing method as above, wherein, the specific algorithm that black and white pattern is processed is, to the RGB GrayP=(R+G+B)/3 that averages, and the mean value GrayP trying to achieve is compared with fiducial value, when mean value is more than or equal to fiducial value, new pixel value is R=G=B=255, when mean value is less than fiducial value, new pixel value is R=G=B=0;

Further, by the GrayP trying to achieve, by the R in original ternary color dot RGB (R, G, B), G, B is unified to be replaced with GrayP, forms new ternary color dot RGB (255,255,255) or RGB (0,0,0), forms black and white pattern.

Graphic processing method as above, wherein, the specific algorithm that illumination figure is processed is, set a light source center coordinate and intensity of illumination, the bee-line of this light source and pattern edge of take is radius, and the RGB that is followed successively by each point increases a same intensity level, and concrete formula is as follows:

First, central point light source coordinate is made as: Center (X, Y) is R apart from the short radius of figure frame, and intensity of illumination is T, the gaining in strength of each pixel distance illumination central point, formula is:

$v=(R-\sqrt{{\left(\right|X-x\left|\right)}^2+{(Y-y)}^2})\×T/R,$

Wherein, x, y represents the coordinate of current pixel, V represents the intensity level increasing;

The pixel value GrayP=(R, G, B) of ternary color dot

Further, new pixel value is GrayP=(R, G, B)+V;

Further, by the GrayP trying to achieve, original pixel rgb pixel value is replaced with GrayP, form illumination figure.

Graphic processing method as above, wherein, the specific algorithm of magnifier graphics process is, each point on figure asked to the distance Z of itself and magnifier, and the radius of Z and magnifier is compared, and draws magnifier figure, concrete steps are as follows:

Further, by the pixel value GrayP trying to achieve, original RGB (R, G, B) pixel value is replaced with GrayP,

First, the coordinate of establishing a pixel on figure is (X, Y), and magnifier centre coordinate is (CenterX, CenterY), and the radius of magnifier is R, and enlargement factor is N;

Further, if Z<R is (X/N, Y/N) by this pixel coordinate renew on figure, and obtains the pixel value GrayP of the pixel after renewal, as new pixel value; Form new color RGB, form enlarged drawing.

Graphic processing method as above, wherein, the specific algorithm that relief pattern is processed is to deduct the rgb value of consecutive point and add that fiducial value is as the new pixel value GrayP of this pixel with the rgb value of a pixel P on figure;

Further, by the GrayP trying to achieve, by the R in original RGB (R, G, B), G, B uses pixel value GrayP to replace, and forms relief pattern.

Beneficial effect of the present invention:

Because the present invention adopts the NDK of Android system to pack, generate SO storehouse, use SO storehouse to carry out calling of local edition interface JNI, realize C language figure is processed, obtain the new figure of respective handling effect, therefore realized high-level efficiency, the object of low-resource, has applicability widely.

Embodiment

For measure, creation characteristic that the technology of the present invention is realized, reach object and effect is easy to understand, below in conjunction with concrete diagram, further set forth the present invention.

The invention provides a kind of graphic processing method, wherein, comprise the steps:

Step 1, reads in figure to be processed, obtains the RGB data of each pixel of figure;

Step 2, because digital figure is the set of pixel, the base unit that forms digital figure is pixel P, therefore the RGB data to each the pixel P reading in are processed, wherein, R represents pure red pixel value, G represents pure green pixel values, and B represents pure blue pixel value;

Step 3, the graphics mode to be processed of selecting according to user, specifically comprise: gray scale graphics process, egative film graphics process, softening graphics process, black and white pattern processing, illumination figure processing, magnifier graphics process, relief pattern are processed, the NDK of employing Android system packs and generates SO storehouse, use SO storehouse to carry out calling of local edition interface JNI, realize C language figure is processed, obtain the new figure of respective handling effect, concrete steps are as follows:

First, wide and high according to figure, calculating pixel number, concrete formula is as follows:

Count＝W*H；

Wherein, Count represent pixel number, the line number of W representative of graphics, the height of H represent pixel;

Further, according to number of pixels Count, with JNI function, generate two-dimensional array, concrete formula is as follows:

CBuffer=[W] [H], wherein, CBuffer represents two-dimensional array, the line number of [W] presentation video pixel, the height of [H] presentation video pixel; Member's number of two-dimensional array CBuffer is Count;

Further, circulation W*H time, respectively read pixel value;

Further, the algorithm of the graphics mode to be processed of selecting according to user, calculates respectively the value after each pixel is processed, and is deposited in two-dimensional array CBuffer;

Further, the two-dimensional array CBuffer generating, by the calling of JNI, is turned back to JAVA layer, and discharges array element, releasing memory; At JAVA layer, according to data, directly generate the new figure with respective handling effect.

The color value of each pixel is by red, green, blue three kinds of values mix, the value of RGB has respectively a variety of, so the color value of pixel also can have a variety of color values, the principle of Here it is color graphics, gray scale figure only has 256 kinds of colors, general disposal route is that tri-channel value of the RGB of graphic color value are made as equally, so originally, 256*256*256 kind color relation has only had 256 kinds, 256 kinds of color values have just been lost the chromatic information of figure, what stay only has brightness value, visually see the figure that just becomes grey, the specific algorithm of gray scale graphics process is weighted average method, integer method, displacement method, mean value method, only get green method, maximum value process, concrete formula is as follows:

Weighted average method, GrayP=R*0.3+G*0.59+B*0.11,

Integer method, GrayP=(R*30+G*59+B*11)/100,

Displacement method, GrayP=(R*28+G*151+B*77) >>8,

Mean value method, GrayP=(R+G+B)/3,

Only get green, GrayP=G,

Maximum value process, GrayP=Max (R, G, B),

Wherein, GrayP represents the gray-scale value that pixel P is ordered, and R value represents pure red pixel value, and G value represents pure green pixel values, and B value represents pure blue pixel value;

Further, the GrayP trying to achieve according to any one method, by the ternary color dot (R in original RGB color model, G, B) value in R, G, B is unified to be replaced with GrayP, form new ternary color dot (GrayP, GrayP, GrayP), with it, replace original (R, G, B), form gray scale figure.

The specific algorithm of egative film graphics process is inverted value method, each pixel is carried out to inverted value calculating, and concrete formula is as follows:

GrayPr＝255-R，

GrayPg＝255-G，

GrayPb＝255-B，

Wherein, GrayPr represents the inverted value of the pure red pixel value of pixel P, and GrayPg represents the inverted value of the pure green pixel values of pixel P, and GrayPb represents the inverted value of pixel P pure blue pixel value;

Further, according to the GrayPr trying to achieve, GrayPg, GrayPb, by the R in ternary color dot (R, G, the B) value in original RGB, G, B replaces with GrayPr, GrayPg, GrayPb respectively, forms new ternary color dot RGB (GrayPr, GrayPg, GrayPb), form egative film figure.

Softening figure is to make each point of figure more level and smooth with color around, is exactly for each pixel value, asks its weighted mean value, if use simple average, is not obviously quite reasonable, because image is all continuous, the closer to some relation closer, more away from some relation more become estranged; Therefore, weighted mean is more reasonable, larger apart from nearer some weight, and the some weight that distance is far away is less; Normal distribution is obviously a kind of desirable weight allocation pattern.The specific algorithm of softening graphics process is: for each pixel value, adopt the mode loading of calculating respectively, ternary color dot (R, G, B) value in its original RGB color model is set to respectively to it, and around 8 points and its correction factor are added the mean value of the RGB of self after multiplying each other; Again according to two-dimensional Gaussian function, and then calculate the weight of each point, adopt normal distribution curve to distribute the weight of each point, calculate weighting draw value, with weighted mean value, replace original RGB, form softening figure.

The specific algorithm that black and white pattern is processed is, to the RGB GrayP=(R+G+B)/3 that averages, and the mean value GrayP trying to achieve is compared with fiducial value, when mean value is more than or equal to fiducial value, new pixel value is R=G=B=255, when mean value is less than fiducial value, new pixel value is R=G=B=0;

Further, by the GrayP trying to achieve, by the R in original ternary color dot RGB (R, G, B), G, B is unified to be replaced with GrayP, forms new ternary color dot RGB (255,255,255) or RGB (0,0,0), forms black and white pattern.

The specific algorithm that illumination figure is processed is, sets a light source center coordinate and intensity of illumination, and the bee-line of this light source and pattern edge of take is radius, and the RGB that is followed successively by each point increases a same intensity level, and specifically formula is as follows:

First, central point light source coordinate is made as: Center (X, Y) is R apart from the short radius of figure frame, and intensity of illumination is T, the gaining in strength of each pixel distance illumination central point, formula is:

$v=(R-\sqrt{({\left(\right|X-x\left|\right)}^2+{\left(\right|Y-y\left|\right)}^2)})\&times;T/R,$

Wherein, x, y represents the coordinate of current pixel, V represents the intensity level increasing;

The pixel value GrayP=(R, G, B) of ternary color dot

Further, new pixel value is GrayP=(R, G, B)+v;

Further, by the GrayP trying to achieve, original pixel rgb pixel value is replaced with GrayP, form illumination figure.

The specific algorithm of magnifier graphics process is, each point on figure asked to the distance Z of itself and magnifier, and the radius of Z and magnifier is compared, and draws magnifier figure, and concrete steps are as follows:

First, the coordinate of establishing a pixel on figure is (X, Y), and magnifier centre coordinate is (CenterX, CenterY), and the radius of magnifier is R, and enlargement factor is N;

Further, if Z<R is (X/N, Y/N) by this pixel coordinate renew on figure, and obtains the pixel value GrayP of the pixel after renewal, as new pixel value;

Further, by the pixel value GrayP trying to achieve, original RGB (R, G, B) is replaced with GrayP, form new color RGB, form enlarged drawing.

Embossment is by the processing to tri-kinds of colors of RGB, with the rgb value of current point, deducts the rgb value of consecutive point and adds that 128 as new rgb value.Because the color value of consecutive point in picture is more approaching, therefore after such algorithm process, coloured border area only, the result of the part that namely adjacent color differs greatly just can be obvious, other smooth regions are worth and all approach 128 left and right, namely grey, has produced anaglyph.The specific algorithm that relief pattern is processed is to deduct the rgb value of consecutive point and add that fiducial value is as the new pixel value GrayP of this pixel with the rgb value of a pixel P on figure;

Further, by the GrayP trying to achieve, by the R in original RGB (R, G, B), G, B uses pixel value GrayP to replace, and forms relief pattern.

Because the present invention adopts the NDK of Android system to pack, generate SO storehouse, use SO storehouse to carry out calling of local edition interface JNI, realize C language figure is processed, obtain the new figure of respective handling effect, therefore realized high-level efficiency, the object of low-resource, has applicability widely.

More than show and described ultimate principle of the present invention, principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; that in above-described embodiment and instructions, describes just illustrates principle of the present invention; the present invention also has various changes and modifications without departing from the spirit and scope of the present invention, and these changes and improvements all fall in the claimed scope of the invention.The claimed scope of the present invention is defined by appending claims and equivalent thereof.

Claims (9)

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

Step 1, reads in figure to be processed, obtains the RGB data of each pixel of figure;

Step 2, because digital figure is the set of pixel, the base unit that forms digital figure is pixel P, therefore to read in each described in the RGB data of pixel P process, wherein, R represents pure red pixel value, G represents pure green pixel values, and B represents pure blue pixel value;

Step 3, the graphics mode to be processed of selecting according to user, specifically comprise: gray scale graphics process, egative film graphics process, softening graphics process, black and white pattern processing, illumination figure processing, magnifier graphics process, relief pattern are processed, the NDK of employing Android system packs and generates SO storehouse, use SO storehouse to carry out calling of local edition interface JNI, realize C language figure is processed, obtain the new figure of respective handling effect, concrete steps are as follows:

First, wide and high according to figure, calculating pixel number, concrete formula is as follows:

Count＝W*H；

Wherein, Count represent pixel number, W representative of graphics wide, the height of H represent pixel;

Further, according to described number of pixels Count, with JNI function, generate two-dimensional array, concrete formula is as follows:

CBuffer＝[W][H]，

Wherein, CBuffer represents two-dimensional array, the line number of [W] presentation video pixel, the height of [H] presentation video pixel; Member's number of two-dimensional array CBuffer is Count;

Further, circulation W*H time, respectively read pixel value;

Further, the algorithm of the graphics mode to be processed of selecting according to user, calculates respectively the pixel value after each pixel is processed, and is deposited in two-dimensional array CBuffer;

Further, the two-dimensional array CBuffer generating, by the calling of JNI, is turned back to JAVA layer, and discharges array element, releasing memory; At described JAVA layer, according to data, directly generate the new figure with respective handling effect.

2. graphic processing method according to claim 1, is characterized in that, the specific algorithm of described gray scale graphics process is

Weighted average method, integer method, displacement method, mean value method, only get green method, maximum value process, concrete formula

As follows:

Weighted average method, GrayP=R*0.3+G*0.59+B*0.11,

Integer method, GrayP=(R*30+G*59+B*11)/100,

Displacement method, GrayP=(R*28+G*151+B*77) >>8,

Mean value method, GrayP=(R+G+B)/3,

Only get green, GrayP=G,

Maximum value process, GrayP=Max (R, G, B),

Wherein, GrayP represents the gray-scale value that pixel P is ordered, and R value represents pure red pixel value, and G value represents pure green pixel values, and B value represents pure blue pixel value;

Further, the described GrayP trying to achieve according to any one method, by the ternary color dot (R in original described RGB color model, G, B) value in R, G, B is unified to be replaced with GrayP, form new ternary color dot (GrayP, GrayP, GrayP), with it, replace original (R, G, B), form gray scale figure.

3. graphic processing method according to claim 1, is characterized in that, the specific algorithm of described egative film graphics process is

Inverted value method, carries out inverted value calculating to each pixel, and concrete formula is as follows:

GrayPr＝255-R，

GrayPg＝255-G，

GrayPb＝255-B，

Wherein, GrayPr represents the inverted value of the pure red pixel value of pixel P, and GrayPg represents the inverted value of the pure green pixel values of pixel P, and GrayPb represents the inverted value of pixel P pure blue pixel value;

Further, according to described GrayPr, the GrayPg, the GrayPb that try to achieve, by the R in ternary color dot (R, G, the B) value in original described RGB, G, B replaces with GrayPr, GrayPg, GrayPb respectively, forms new ternary color dot RGB (GrayPr, GrayPg, GrayPb), form egative film figure.

4. graphic processing method according to claim 1, it is characterized in that, the specific algorithm of described softening graphics process is: for each pixel value, adopt the mode loading of calculating respectively, by the ternary color dot (R in its original RGB color model, G, B) value is set to respectively it around 8 points and its correction factor added the mean value of the described RGB of self after multiplying each other; Again according to two-dimensional Gaussian function, and then calculate the weight of each point, adopt normal distribution curve to distribute the weight of each point, calculate weighting draw value, with described weighted mean value, replace original RGB, form softening figure.

5. graphic processing method according to claim 1, it is characterized in that, the specific algorithm that described black and white pattern is processed is, to the RGB GrayP=(R+G+B)/3 that averages, and the described mean value GrayP trying to achieve is compared with fiducial value, when described mean value is more than or equal to fiducial value, new pixel value is R=G=B=255, when described mean value is less than fiducial value, new pixel value is R=G=B=0;

Further, by the described GrayP trying to achieve, by the R in original ternary color dot RGB (R, G, B), G, B is unified to be replaced with GrayP, forms new ternary color dot RGB (255,255,255) or RGB (0,0,0), forms black and white pattern.

6. graphic processing method according to claim 1, is characterized in that, the specific algorithm that described illumination figure is processed is,

Set a light source center coordinate and intensity of illumination, the bee-line of this light source and pattern edge of take is radius, is followed successively by

The RGB of each point increases a same intensity level, and concrete formula is as follows: first, central point light source coordinate is made as: Center (X, Y), apart from the short radius of figure frame, be R, intensity of illumination is T, gaining in strength of each pixel distance illumination central point, formula is:

$v=(R-\sqrt{({\left(\right|X-x\left|\right)}^2+{\left(\right|Y-y\left|\right)}^2)})\&times;T/R,$

Wherein, x, y represents the coordinate of current pixel, V represents the intensity level increasing;

The pixel value GrayP=(R, G, B) of ternary color dot

Further, new pixel value is GrayP=(R, G, B)+v;

Further, by the described GrayP trying to achieve, original pixel rgb pixel value is replaced with described GrayP, form illumination figure.

7. graphic processing method according to claim 1, is characterized in that, the specific algorithm of described magnifier graphics process

For, each point on figure is asked to the distance Z of itself and magnifier, the radius of described Z and magnifier is compared,

Draw magnifier figure, concrete steps are as follows:

First, the coordinate of establishing a pixel on figure is (X, Y), and magnifier centre coordinate is (CenterX, CenterY), and the radius of magnifier is R, and enlargement factor is N;

Further, if Z<R is (X/N, Y/N) by this pixel coordinate renew on figure, and obtains the pixel value GrayP of the pixel after renewal, as new pixel value;

Further, by the described pixel value GrayP trying to achieve, original described RGB (R, G, B) is replaced with GrayP, form new color RGB, form enlarged drawing.

8. graphic processing method according to claim 1, is characterized in that, the specific algorithm that described relief pattern is processed is to deduct the rgb value of consecutive point and add that fiducial value is as the new pixel value GrayP of this pixel with the rgb value of a pixel P on figure; By the described GrayP trying to achieve, by the R in original described RGB (R, G, B), G, B uses described pixel value GrayP to replace, and forms relief pattern.

9. according to the graphic processing method described in claim 5 or 8, it is characterized in that, described fiducial value is 128.