CN102110231B - Method for lowering black content in digital image - Google Patents
Method for lowering black content in digital image Download PDFInfo
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- CN102110231B CN102110231B CN 200910243989 CN200910243989A CN102110231B CN 102110231 B CN102110231 B CN 102110231B CN 200910243989 CN200910243989 CN 200910243989 CN 200910243989 A CN200910243989 A CN 200910243989A CN 102110231 B CN102110231 B CN 102110231B
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Abstract
The invention discloses a method for lowering black content in a digital image, which is characterized in that an original digital image is processed into the digital image with low black content or with no black. In the method, pixel content is mainly improved by 4 or 9 times, the color information of the pixel is changed to eliminate black or lower the black content.
Description
Technical field
The present invention relates to a kind of method that reduces content of black in digital image, so that printer is after printing digital picture, digital picture can not contain or greatly reduce the composition of powdered black ink (or carbon dust) fully.
Background technology
Commercially available printer can be made automatic decision to the image of sending to from user's computer terminal, reach the effect of printing GTG in the mode of mixing powdered black ink (carbon dust), saving the consumption of color toner (carbon dust), and obtain the effect of better dark section details.Yet, some occasion does not wish that printer prints the have powdered black ink image of (carbon dust), for example utilize light pen (to claim again OID Pen, OID:OpticalIndex/Optical Identification, with reference to http://www.giga.com.tw/english/productpen.htm) read cover on a certain image read voice with printing code (mostly being greatly very tiny two-dimensional bar), reading voice is black with printing code substantially, if image has many black parts, then can affect the success ratio that reads of light pen.
Solution in the past is to be the CMYK form with the video conversion of rgb format in image processing software, and the K value removed or reduces as far as possible.Yet the combination that rgb value can corresponding multiple CMYK, therefore this method image be sent to print end after, print system still can process remaining CMY value: mix the K value to obtain dark section effect.And image also can be removed because of the K value of former figure (dark section), but highlights not have to change so that the image that prints seems top-heavy.
Therefore, be necessary to provide that a kind of method walks around existing, print system fully mixes changing the mechanism of K value, allow the user print the printed matter that does not really contain or reduce powdered black ink (carbon dust).
Therefore above-mentioned shortcoming is need to be improved.
Summary of the invention
Fundamental purpose of the present invention provides the method that reduces content of black in digital image, the present invention includes the following step:
Read original digital image, original digital image comprises P original pixels, 1＜=P＜=9,000,000,000 wherein, and each original pixels comprises three color informations, is respectively R, G and B, wherein R represents red value, and G represents green value, and B represents blue valve; And:
0＜=R＜=F, 0＜=G＜=F, 0＜=B＜=F, wherein 2
4-1＜=F＜=2
32-1;
Prepare digital picture to be changed, wherein digital picture to be changed comprises N * N * P pixel to be changed, and wherein N is 2 or 3, and corresponding N * N the pixel to be changed of each original pixels.
Produce the color information of the corresponding N * N of each original pixels pixel to be changed, wherein the corresponding N * N of at least one original pixels pixel to be changed processed through reducing black, in the color information of this corresponding N * N pixel to be changed, having one in the following condition at least sets up: 0.8 * F＜=R＜=F, 0.8 * F＜=G＜=F or 0.8 * F＜=B＜=F.
When N=3, in the color information of 9 pixels to be changed of this correspondence, have at least two conditions to set up in three following conditions:
Condition one: [(0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or
(0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F];
Condition two: [(0.5 * F＜=G＜=F and 0.8 * F＜=B＜=F) or
(0.8 * F＜=G＜=F and 0.5 * F＜=B＜=F)]; And
Condition three: [(0.5 * F＜=R＜=F and 0.8 * F＜=B＜=F) or
(0.8 * F＜=R＜=F and 0.5 * F＜=B＜=F)].
When N=2, the color information of 4 pixels to be changed of this correspondence is characterized as:
In the color information of 2 pixels in first group of pixel, have at least a condition to set up in three following conditions:
Condition one: [(0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or
(0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F];
Condition two: [0.5 * F＜=G＜=F and 0.8＜=B＜=F) or
(0.8 * F＜=G＜=F and 0.5＜=B＜=F)]; And
Condition three: [(0.5 * F＜=R＜=F and 0.8＜=B＜=F) or
(0.8 * F＜=R＜=F and 0.5＜=B＜=F)];
In the color information of 2 pixels in second group of pixel, have one in the following condition at least and set up: 0.8 * F＜=R＜=F, 0.8 * F＜=G＜=F or 0.8 * F＜=B＜=F.
Description of drawings
Fig. 1 is the first embodiment that uses environment synoptic diagram of the present invention.
Fig. 2 is the second embodiment that uses environment synoptic diagram of the present invention.
Fig. 3 is process flow diagram of the present invention.
Fig. 4 is the synoptic diagram about the original pixels of original digital image.
Fig. 5 is the R of original pixels, G and B value embodiment.
Fig. 6 is the first embodiment synoptic diagram about the pixel to be changed of digital picture to be changed, N=3.
Fig. 7 is the second embodiment synoptic diagram about the pixel to be changed of digital picture to be changed, N=2.
Fig. 8 is the embodiment synoptic diagram with corresponding 9 pixels to be changed of an original pixels, N=3.
Fig. 9 is 9 color information embodiment after changing the processing of pixel process reduction black.
Figure 10 is the synoptic diagram with corresponding 4 the pixel embodiment to be changed of an original pixels, N=2.
Figure 11 is 4 the first color information embodiment after changing the processing of pixel process reduction black.
Figure 12 is 4 the second color information embodiment after changing the processing of pixel process reduction black.
Figure 13 is 4 third color information embodiment after changing the processing of pixel process reduction black.
Figure 14 is the color information embodiment that 9 pixels to be changed are not processed through reducing black.
Figure 15 is the color information embodiment that 4 pixels to be changed are not processed through reducing black.
Figure 16 is that light pen reads the voice synoptic diagram of printing code.
The primary clustering symbol description:
Internal memory 12 printers 16
Original digital image 30 original pixels 31a, 31b, 31c, 31d
Change digital picture 50 voice with printing code 70
Light pen 90
Embodiment
For more understanding technology contents of the present invention, be described as follows especially exemplified by a preferred embodiment:
Below please in the lump with reference to the first embodiment synoptic diagram of figure 1 about environment for use.
The user carries out method of the present invention by personal computer 10.Computing machine 10 mainly comprises a processor 11 and an internal memory 12, stores an application program 20 in the internal memory 12, and the present invention carries out this application program 20 to produce step of the present invention by processor 11.
Fig. 2 is the second embodiment synoptic diagram of environment for use of the present invention.The user uses a near-end computing machine 81, by network 80(such as the Internet) with a computing machine 10a(webserver) be connected, so that near-end computing machine 81 can use the application program 20 of webserver 10a, in a second embodiment, printer 16 connects near-end computing machine 81 in wired or wireless mode.The emphasis of two different embodiment is exactly that the user is utilized computing machine to come executive utility 20, then with printer 16 print file.
Please refer to Fig. 3 about the present invention's process flow diagram, and please in the lump with reference to figure 1 ~ 2, and Fig. 4 ~ 16 are to understand the present invention.
Step 301:
Read an original digital image 30.
Original digital image 30 comprises P original pixels 31,1＜=P＜=9,000 wherein, 000,000.Pixel (pixel) is the least unit that forms digital picture (bitmap), picture with a 800x600, it is by horizontal 800 lattice points, vertical 600 lattice points form, so digital picture picture that length and width are the 800x600 size, 480,000 lattice points (800x600=480,000) have been comprised altogether.The size of P is can be infinitely-great in theory, still, sees to reach at present following should being used for that it should be to contain most digital pictures that the P maximum is made as 9,000,000,000.
For example the user obtains a digital picture in oneself computing machine or website, and is read by application program 20.The form that it should be noted that original digital picture may not with pattern bitmap record (such as the jpg compressed file), if not what record with pattern bitmap, then must be converted to first the file of describing with pixel.The described original digital image 30 of step 301 may be first after treatment digital picture, after for example processing through the digital picture of other form, or through dwindling or increase after the processes pixel etc.
Each original pixels 31 comprises three color informations, is respectively R, G and B, and wherein R represents red value, and G represents green value, and B represents blue valve.R, G and B are the three primary colors that are shown on the screen, and at present, general color information is with eight bit representations, and the numerical value minimum of each color information is 0, is 255 to the maximum.At present, general useful four bit representations, eight bit representations, or sixteen bit represents, and following also might be with 32 bit representations, therefore:
0＜=R＜=F, 0＜=G＜=F, 0＜=B＜=F, wherein 2
4-1＜=F＜=2
32-1.
Ask for an interview Fig. 4, for convenience of description, the original digital image 30 of embodiment includes 4 original pixels 31a, 31b, 31c, 31d.Each pixel has R, G and B value, as shown in Figure 5.
Step 302:
Prepare a digital picture to be changed, wherein, digital picture to be changed comprises N * N * P pixel 41 to be changed, and wherein N is 2 or 3, and each original pixels 31 corresponding N * N pixels 41 to be changed.
When N is 3, ask for an interview Fig. 6, corresponding 9 pixels 41 to be changed of each original pixels.
When N is 2, ask for an interview Fig. 7, corresponding 4 pixels 41 to be changed of each original pixels.
Step 303:
Judging one by one the original pixels 31a of original digital image 30,31b, 31c, 31d need to reduce black to be processed?
If need to reduce the processing of black, then carry out step 304.
If do not need to reduce the processing of black, then carry out step 306.
Such as original pixels 31a (RGB=22,20,30), because of in its saturation degree (27%, " 1-minimum/mxm. ") under brightness (12%) be lower than certain hypothesis printing device mix K minimum brightness value (78%), therefore need to go K to process.
And original pixels 31b (RGB=200,190,0), be higher than because of the brightness (78%) under its saturation degree (100%) certain hypothesis printing device mix K minimum brightness value (55%), therefore do not need K to process.
Step 304:
Original pixels lifting color for black to be reduced is saturated.
Because go to reduce (step 305) after the step of black, color saturation can reduce, therefore suggestion is preferably in that to carry out promoting in advance color before the step 305 saturated.
For example the original color information of original pixels 31a is: R=22, and G=20, B=30, the color information after process lifting color is saturated is: R=20, G=15, B=30 is known technology owing to promote color saturation, does not therefore repeat them here.
Step 305:
Produce the color information of each original pixels 31 corresponding N * N pixels 41 to be changed, wherein have at least a corresponding N * N of original pixels pixel 41 to be changed to process through reducing black.
Below describe as example after color is saturated take original pixels 31a, R=20, G=15, B=30:
When N is 3:
Ask for an interview corresponding 9 the pixel 41a to be changed ~ 41i of Fig. 8 original pixels 31a, and its color information is asked for an interview the embodiment of Fig. 9.
41a wherein, 41f, the color information of 3 pixels to be changed of 41h is: R=F and G=F, B then equal the value of the B of original pixels 31a;
41b wherein, 41d, the color information of 3 pixels to be changed of 41i is: G=F and B=F, R then equal the value of the R of original pixels 31a;
41c wherein, 41e, the color information of 3 pixels to be changed of 41g is: B=F and R=F, G then equal the value of the G of original pixels 31a.
The embodiment of Fig. 9 is that the rgb value that original pixels 31a is original is respectively represented by 3 pixels to be changed, owing to respectively have two to be full value (equaling F) in the color information of pixel to be changed, therefore (printer can be converted to the CMYK system) do not have the appearance of K value when printing.
The embodiment of Fig. 9 guarantees the K value is removed, be applicable to all printing device, if but in fact to reduce the K value as purpose, in fact every money printing device has switch condition separately, has at least two conditions to set up in following three conditions of the color information of corresponding N * N (9) pixel to be changed:
(0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or
(0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F;
(0.5 * F＜=G＜=F and 0.8 * F＜=B＜=F) or
(0.8 * F＜=G＜=F and 0.5 * F＜=B＜=F);
(0.5 * F＜=R＜=F and 0.8 * F＜=B＜=F) or
(0.8 * F＜=R＜=F and 0.5 * F＜=B＜=F).
For example:
41a wherein, 41f, the color information of 3 pixels to be changed of 41h is: R=0.5 * F and G=0.8 * F, B then equal the value of the B of original pixels 31a;
41b wherein, 41d, 41i the color information of 3 pixels to be changed be: G=0.5 * F and B=0.8 * F, R then equal the value of the R of original pixels 31a;
41c wherein, 41e, the color information of 3 pixels to be changed of 41g is: B=0.8 * F and R=0.5 * F, G then equal the value of the G of original pixels 31a.
The applicant is through practice examining, when the rgb color of a pixel to be changed has one to equal or exceed 0.5 * F and have another to equal or exceed 0.8 * F, because guaranteed that at least under any circumstance brightness all can be more than or equal to 80%, therefore, the purpose that reduces the K value can reach.
The first embodiment when N is 2:
Ask for an interview corresponding 4 the pixel 41j to be changed ~ 41n of Figure 10 original pixels 31a, and its color information is asked for an interview the embodiment of Figure 11.
41j wherein, the color information of 2 pixels to be changed of 41n is: R=F and G=F, B then equal the B value of original pixels 31a;
41k wherein, the color information of 2 pixels to be changed of 41m is: B=F, R value and G value then equal R value and the G value of original pixels 31a.
Namely the rgb value of original pixels 31a presents the B value of original pixels 31a by 2 pixels to be changed wherein, and is presented R value and the G value of original pixels 31a by 2 other pixels to be changed.Because respectively pixel 41j to be changed ~ 41n has at least a color information to be full value (equaling F), (printer can be converted to the CMYK system) do not have the K value out when therefore printing.The embodiment of Figure 11 guarantees the K value is removed, if but in fact to reduce the K value as purpose, then identical with principle when N is 3, that is:
41j wherein, the color information of 2 pixels to be changed of 41n is: (0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or (0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F), B then equals the B value of original pixels 31a;
41k wherein, 41m the color information of 2 pixels to be changed be: 0.8 * F＜=B＜=F, R value and G value then equal R value and the G value of original pixels 31a.
The second embodiment when N is 2:
Ask for an interview corresponding 4 the pixel 41j to be changed ~ 41n of Figure 10 original pixels 31a, and its color information is asked for an interview the embodiment of Figure 12.
41j wherein, the color information of 2 pixels to be changed of 41n is: G=F and B=F, R then equal the R value of original pixels 31a;
41k wherein, the color information of 2 pixels to be changed of 41m is: R=F, G value and B value then equal G value and the B value of original pixels 31a.
The rgb value of original pixels 31a namely present the R value of original pixels 31a by 2 pixels to be changed, and other 2 pixels to be changed presents G value and the B value of original pixels 31a.Owing to respectively having at least a color information to be full value (equaling F) among pixel 41j to be changed ~ 41n, therefore (printer can be converted to the CMYK system) do not have the appearance of K value when printing.The embodiment of Figure 12 guarantees the K value is removed, if but in fact to reduce the K value as purpose, be identical with principle when N is 3 then, that is:
41j wherein, the color information of 2 pixels to be changed of 41n is: (0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or (0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F), B then equals the B value of original pixels 31a;
41k wherein, the color information of 2 pixels to be changed of 41m is: 0.8 * F＜=B＜=F, R value and G value then equal R value and the G value of original pixels 31a.
The 3rd embodiment when N is 2:
Ask for an interview corresponding 4 the pixel 41j to be changed ~ 41n of Figure 10 original pixels 31a, and its color information is asked for an interview the embodiment of Figure 13.
41j wherein, the color information of 2 pixels to be changed of 41n is: B=F and R=F, R then equal the G value of original pixels 31a;
41k wherein, the color information of 2 pixels to be changed of 41m is: G=F, B value and R value then equal B value and the R value of original pixels 31a.
Namely the rgb value of original pixels 31a presents the G value of original pixels 31a by 2 pixels to be changed, and is presented B value and the R value of original pixels 31a by other 2 pixels to be changed.Owing in pixel 41j to be changed ~ 41n respectively, having at least a color information to be full value (equaling F), because of when the printing (printer can be converted to the CMYK system) do not have the appearance of K value.The embodiment of Figure 12 guarantees the K value is removed, if but in fact to reduce the K value as purpose, then identical with principle when N is 3, that is:
41j wherein, the color information of 2 pixels to be changed of 41n is: (0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or (0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F), B then equals the G value of original pixels 31a;
41k wherein, the color information of 2 pixels to be changed of 41m is: 0.8 * F＜=G＜=F, B value and R value then equal B value and the R value of original pixels 31a.
Step 306:
Owing to do not need to reduce black, the color information pixel of direct replicating original pixel is to corresponding N * N pixel to be changed.
When N is 3:
Ask for an interview Figure 14, the color information of corresponding 9 the pixel 41a to be changed ~ 41i of original pixels 31b.
When N is 2:
Ask for an interview Figure 15, the color information of corresponding 4 the pixel 41j to be changed ~ 41n of original pixels 31a.
Through above-mentioned step, digital picture 40a to be changed, 40b then become and change digital picture 50.Original digital image 30 is reduced black or the application of removing K fully, and for example, the file that prints can be used by a light pen 90.Light pen 90 claims again OID Pen(OID:Optical Index/OpticalIdentification, for example with reference to http://www.giga.com.tw/english/productpen.htm) because hardware is known devices, therefore do not repeat them here.Ask for an interview Figure 16, voice are printed on same position with printing code 70 with changing digital picture 50, are black although read voice with printing code 70, and light pen 90 reads voice to be increased greatly with the success ratio of printing code 70.
To sum up institute is old, and no matter the present invention all shows it totally different in the feature of known technology with regard to purpose, means and effect.Above-mentioned many embodiment only be for convenience of explanation and for example, the interest field that the present invention advocates should be as the criterion with the described scope of claim, but not only limits to the above embodiments.For example step 303 not necessarily needs; all pixels all can be passed through the processing of step 305; reason is to allow the image after processed seem brightness evenly (brightness ratio has conforming increase); otherwise partial pixel is through the processing (usually can increase brightness) of step 305; (brightness is constant in the processing of partial pixel process step 306; keep original color), then have the more inhomogeneous situation of brightness and produce.
Claims (11)
1. a method that reduces content of black in digital image is by computing machine one original digital image to be processed into the lower or content of elimination black of black content, changes digital picture to obtain one, and the method comprises the following steps:
Read this original digital image, wherein this original digital image comprises P original pixels, 1＜=P＜=9,000 wherein, 000,000, each original pixels comprises three color informations, is respectively R, G and B, wherein R represents red value, and G represents green value, and reach B and represent blue valve, and:
0＜=R＜=F, 0＜=G＜=F, 0＜=B＜=F, wherein 2
4-1＜=F＜=2
32-1;
Prepare a digital picture to be changed, wherein this digital picture to be changed comprises N * N * P pixel to be changed, and wherein N is 2 or 3, and corresponding N * N the pixel to be changed of each original pixels; And
Whether the original pixels of judging one by one this original digital image needs to reduce the black processing,
If so, the original pixels lifting color to this original digital image is saturated; Produce the color information of the corresponding N * N of each original pixels pixel to be changed, wherein the corresponding N * N of at least one original pixels pixel to be changed processed through reducing black, in the color information of this corresponding N * N pixel to be changed, below have at least one to set up: 0.8 * F＜=R＜=F, 0.8 * F＜=G＜=F or 0.8 * F＜=B＜=F;
If not, directly copy the color information pixel of each original pixels to corresponding N * N pixel to be changed; By above-mentioned step, finish this and after the color information that changes digital picture, can obtain this transformation digital picture.
2. the method for reduction content of black in digital image as claimed in claim 1 wherein when N=3, in following three conditions in the color information of this pixel to be changed, has at least two conditions to set up:
Condition one: (0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or
(0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F;
Condition two: (0.5 * F＜=G＜=F and 0.8 * F＜=B＜=F) or
(0.8 * F＜=G＜=F and 0.5 * F＜=B＜=F); And
Condition three: (0.5 * F＜=R＜=F and 0.8 * F＜=B＜=F) or
(0.8 * F＜=R＜=F and 0.5 * F＜=B＜=F).
3. the method for reduction content of black in digital image as claimed in claim 2, being characterized as of the color information of 9 pixels to be changed that wherein should correspondence:
The color information of 3 pixels in first group of pixel is: (0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or (0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F);
The color information of 3 pixels in second group of pixel is: (0.5 * F＜=G＜=F and 0.8 * F＜=B＜=F) or (0.8 * F＜=G＜=F and 0.5 * F＜=B＜=F); And
The color information of 3 pixels in the 3rd group of pixel is: (0.5 * F＜=B＜=F and 0.8 * F＜=R＜=F) or (0.8 * F＜=B＜=F and 0.5 * F＜=R＜=F).
4. the method for reduction content of black in digital image as claimed in claim 3, being characterized as of the color information of 9 pixels to be changed that wherein should correspondence:
The color information of 3 pixels in first group of pixel is: R=F and G=F;
The color information of 3 pixels in second group of pixel is: G=F and B=F; And
The color information of 3 pixels in the 3rd group of pixel is: B=F and R=F.
5. the method for reduction content of black in digital image as claimed in claim 1, wherein when N=2, being characterized as of the color information of 4 pixels to be changed of this correspondence:
In the color information of 2 pixels in first group of pixel, below have at least a condition to set up in three conditions:
Condition one: (0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or
(0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F;
Condition two: (0.5 * F＜=G＜=F and 0.8＜=B＜=F) or
(0.8 * F＜=G＜=F and 0.5＜=B＜=F); And
Condition three: (0.5 * F＜=R＜=F and 0.8＜=B＜=F) or
(0.8 * F＜=R＜=F and 0.5＜=B＜=F);
In the color information of 2 pixels in second group of pixel, below have at least one to set up: 0.8 * F＜=R＜=F, 0.8 * F＜=G＜=F or 0.8 * F＜=B＜=F.
6. the method for reduction content of black in digital image as claimed in claim 5, wherein when N=2, being characterized as of the color information of 4 pixels to be changed of this correspondence:
The color information of 2 pixels in first group of pixel is: (0.5 * F＜=R＜=F and 0.8 * F＜=G＜=F) or (0.8 * F＜=R＜=F and 0.5 * F＜=G＜=F); And
The color information of 2 pixels in second group of pixel is: 0.8 * F＜=B＜=F.
7. the method for reduction content of black in digital image as claimed in claim 6, wherein when N=2, being characterized as of the color information of 4 pixels to be changed of this correspondence:
The color information of 2 pixels in first group of pixel is: R=F and G=F; And
The color information of 2 pixels in second group of pixel is: B=F.
8. the method for reduction content of black in digital image as claimed in claim 5, wherein when N=2, being characterized as of the color information of 4 pixels to be changed of this correspondence:
The color information of 2 pixels in first group of pixel is: (0.5 * F＜=G＜=F and 0.8 * F＜=B＜=F) and (0.8 * F＜=G＜=F and 0.5 * F＜=B＜=F); And
The color information of 2 pixels in second group of pixel is: 0.8 * F＜=R＜=F.
9. the method for reduction content of black in digital image as claimed in claim 6, wherein when N=2, being characterized as of the color information of 4 pixels to be changed of this correspondence:
The color information of 2 pixels in first group of pixel is: G=F and B=F; And
The color information of 2 pixels in second group of pixel is: R=F.
10. the method for reduction content of black in digital image as claimed in claim 5, wherein when N=2, this is characterized as the color information of deserved 4 pixels to be changed:
The color information of 2 pixels in first group of pixel is: (0.5 * F＜=B＜=F and 0.8 * F＜=R＜=F) or (0.8 * F＜=B＜=F and 0.5 * F＜=R＜=F); And
The color information of 2 pixels in second group of pixel is: 0.8 * F＜=G＜=F.
11. the method for reduction content of black in digital image as claimed in claim 6, wherein when N=2, being characterized as of the color information of 4 pixels to be changed of this correspondence:
The color information of 2 pixels in first group of pixel is: B=F and R=F; And
The color information of 2 pixels in second group of pixel is: G=F.
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| CN1599412A (en) * | 2003-09-18 | 2005-03-23 | 明基电通股份有限公司 | Method of processing color image data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1599412A (en) * | 2003-09-18 | 2005-03-23 | 明基电通股份有限公司 | Method of processing color image data |
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