CN1530874A - Method for decreasing image noise - Google Patents
Method for decreasing image noise Download PDFInfo
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- CN1530874A CN1530874A CNA031194818A CN03119481A CN1530874A CN 1530874 A CN1530874 A CN 1530874A CN A031194818 A CNA031194818 A CN A031194818A CN 03119481 A CN03119481 A CN 03119481A CN 1530874 A CN1530874 A CN 1530874A
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Abstract
The present invention is a method for decreasing image noises. In the invention some bits of each byte will be removed when a scanned image is obtained in order to reduce the color step manifested in the original image and appear the color step which the noise will be decreased from, then a half-tone figure will be used to increase the color step of the image to restore it to the level manifested in the original image, and finally a bit enhancing method will be used to fill the lost codes in the image. Since the invention does not decrease the whole color steps of an image, the invention can decrease the noise in image while not to make the image excessively fuzzy. Moreover, since some bits of each byte are removed in the invention, so that the image can be compressed and the hard disk space occupied by the image can be decreased.
Description
Technical field
The invention relates to a kind of method that reduces image noise, particularly the method for the reduction image noise of the noise of the image that obtains relevant for a kind of reduce through scanner scanning.
Background technology
Scanner is a kind of a kind of instrument between duplicating machine and camera.In the past because expensive price, almost be some for example patents of particular job person such as artistic working.In recent years,, squeezed into the main flow in the personal computer world finally, become the senior general of personal computer peripheral device equipment because the price that strong competition the caused downslide in scanner market is added in advancing by leaps and bounds of computer technology.
Scanner can be distinguished into some types according to its price or function, and general scanner approximately can be distinguished into handly scanner, paper feeding scanner, business card scanner, negative film scanner and falt bed scanner etc. basically.Wherein, the similar glass platform of falt bed scanner is that file or pattern are placed on the flat glass, is moved by sensor and data is read in.Because its structure is not too complicated, and also difficulty not too of using method, add the function extendibility that it has height, therefore become the arrange in pairs or groups main flow of scanner of computing machine user now.
When using the scanner scanning file, can make the image of scanning gained produce noise owing to the factor of scanner intraware, such noise can reduce the image quality of scanning gained and make the image of scanning gained and the actual image of file produce error.In order to reduce the noise of image, known a kind of method is the hardware mode with filter, the whole color range of image reduced and with the noise filtering of image, make the mode of whole color range equalization but this color range with image integral body reduces, can make the obfuscation that image is excessive.And known another kind of method is the filtering mode with software, the color range of some scopes of image is stayed, and this extraneous color range is filtered, but this method still has the shortcoming of the excessive obfuscation of image.
Summary of the invention
In view of this, the present invention proposes a kind of method that reduces image noise.When the present invention is a image after obtaining scanner scanning, remove some positions of each byte, purpose is in order to reduce the color range that original image can show and present the color range that will reduce noise, and then utilize halftone pattern to increase the color range of image, make image can return to the color range that original image can show, re-use the loss sign indicating number that the method for strengthening the position is filled up image at last.Because the present invention can not make the color range of image integral body reduce, so the present invention can reduce the noise of image and can not make the excessive obfuscation of image.
For reaching above-mentioned and other purpose, the present invention proposes a kind of method that reduces image noise.This image comprises a plurality of bytes.In the method, at first can remove a plurality of positions in each byte.Afterwards, can recover the original shade of gray of this image.
In a preferred embodiment of the present invention, after the original shade of gray that recovers this image, the method also comprises the step of the loss sign indicating number that fills up this image.
In a preferred embodiment of the present invention, a plurality of the step of removing in each byte can reduce the original shade of gray of this image.
In a preferred embodiment of the present invention, the step of recovering the original shade of gray of this image is to be finished by halftone pattern.
In a preferred embodiment of the present invention, halftone pattern is the matrix form pattern.Wherein, the columns of matrix form pattern and line number depend on a plurality of number of removal.
In a preferred embodiment of the present invention, the step of filling up the loss sign indicating number of image is to finish with the method that the position is strengthened.
The present invention also proposes a kind of method that reduces image noise.This image comprises a plurality of bytes.In the method, at first can remove a plurality of positions in each byte.Afterwards, can recover the original shade of gray of this image.At last, can fill up the loss sign indicating number of this image.
In sum, when the present invention is a image after obtaining scanner scanning, remove some positions of each byte, purpose is in order to reduce the color range that original image can show and present the color range that will reduce noise, and then utilize halftone pattern to increase the color range of image, and make image can return to the color range that original image can show, re-use the loss sign indicating number that the method for strengthening the position is filled up image at last.Because the present invention can not make the color range of image integral body reduce, so the present invention can reduce the noise of image and can not make the excessive obfuscation of image.Moreover, because the present invention can remove some positions of each byte,, therefore can reduce the shared hard-disk capacity space of image so image can be compressed.
Description of drawings
For allowing above and other objects of the present invention, feature and advantage, can become apparent more, preferred embodiment cited below particularly, and cooperate appended icon, be described below in detail:
Fig. 1 represents is process flow diagram according to the method for the reduction image noise of a preferred embodiment of the present invention.
Important drawing reference numeral:
S102-S110: the implementation step of the method for the reduction image noise of a preferred embodiment of the present invention.
Embodiment
The method of reduction image noise of the present invention is to finish in the mode of software.Next please refer to Fig. 1, its expression be process flow diagram according to the method for the reduction image noise of a preferred embodiment of the present invention.Represented as Fig. 1, behind the scanner scanning file, scanning and image can be stored in (step S102) in the storer.This image has a plurality of pixels.Each pixel is made up of red, green and blue institute.Full-color for image is demonstrated, the redness in each pixel, green and blue system have 256 color ranges respectively usually.For example, a pixel can be formed by the redness of color range 210, the green of color range 200 and the blue combination of color range 190.Because redness, green and blueness in each pixel have 256 color ranges respectively, so the redness in each pixel, green and blueness all are made up of a byte.Then, during image after obtaining scanner scanning, can remove some positions (step S104) of redness in each pixel, green and blue each byte.For example,, latter two position of this byte can be removed, make the redness of original color range 43 become the redness of color range 40 (that is 00101000) if the color range of the redness in certain pixel of image is 43 (that is 00101011).The purpose of step S104 is in order to reduce the color range that original image can show and present the color range that can reduce noise.Next, can increase the shade of gray of image and recover the color range (step S106) that original image can show.Step S106 can be finished by halftone pattern (half tonepattern).Wherein, halftone pattern is the proper noun in the color science, and its meaning is for can show more color range with less color.Moreover halftone pattern is matrix form pattern (that is the pattern of n * m, wherein n and m are that positive integer and n and m not necessarily will equate), and wherein, the columns of matrix form pattern and line number are what of number of depending on the position of removal.For example, when in step S104, when removing two positions of each byte, can use 22 * 2 pattern and make image return to the color range of original image.Be noted that at this, some that step S104 removed normally are positioned at the position than the back of each byte, this is because remove the position than the back of each byte, can not differ too big with original image color range, and make step S106 utilize halftone pattern to increase the shade of gray of image and recover the color range that original image can show and to be relatively easy to finish.Afterwards, if necessary, can fill up the loss sign indicating number (missing code) (step S108) of image.In step S108, the method that can use the position to strengthen (bit enhance) is usually filled up the loss sign indicating number of image.At last, can obtain the image of noise reduction and be presented in (step S110) on the computing machine.Can announce patent, the way of digit compensated image processor No. 350184 with reference to Taiwan as for the method that the position is strengthened.
From the above, because the present invention can not make the color range of image integral body reduce, so the present invention can reduce the noise of image and can not make the excessive obfuscation of image.In addition, because the present invention can remove some positions of each byte,, therefore can reduce the shared hard-disk capacity space of image so image can be compressed.
In sum, when the present invention is a image after obtaining scanner scanning, remove some positions of each byte, purpose is in order to reduce the color range that original image can show and present the color range that will reduce noise, and then utilize halftone pattern to increase the color range of image, and make image can return to the color range that original image can show, re-use the loss sign indicating number that the method for strengthening the position is filled up image at last.Moreover, because the present invention can remove some positions of each byte,, therefore can reduce the shared hard-disk capacity space of image so image can be compressed.
Though the present invention with preferred embodiment in above-mentioned exposure; yet its be not with since limit the present invention; any person skilled in the art; in not breaking away from technological thought of the present invention and scope; can do various corresponding changes and retouching, be as the criterion because protection scope of the present invention is the protection domain that is defined with claims.
Claims (9)
1. method that reduces image noise, this image comprises a plurality of bytes, this method comprises the following steps:
Remove a plurality of positions in each byte; And
Recover the original shade of gray of this image.
2. the method for reduction image noise according to claim 1 is characterized in that, wherein after recovering the original shade of gray of this image, this method also comprises the following steps:
Fill up the loss sign indicating number of this image.
3. the method for reduction image noise according to claim 1 is characterized in that, a plurality of the step of wherein removing in each byte can reduce the original shade of gray of this image.
4. the method for reduction image noise according to claim 1 is characterized in that, the step of wherein recovering the original shade of gray of this image is to be finished by a half-tone picture case.
5. the method for reduction image noise according to claim 2 is characterized in that, the step of wherein filling up the loss sign indicating number of this image is to finish with the method that the position is strengthened.
6. method that reduces image noise, this image comprises a plurality of bytes, this method comprises the following steps:
Remove a plurality of positions in each byte;
Recover the original shade of gray of this image; And
Fill up the loss sign indicating number of this image.
7. the method for reduction image noise according to claim 6 is characterized in that, a plurality of the step of wherein removing in each byte can reduce the original shade of gray of this image.
8. the method for reduction image noise according to claim 6 is characterized in that, the step of wherein recovering the original shade of gray of this image is to be finished by a half-tone picture case.
9. the method for reduction image noise according to claim 6 is characterized in that, the step of wherein filling up the loss sign indicating number of this image is to finish with the method that the position is strengthened.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNA031194818A CN1530874A (en) | 2003-03-12 | 2003-03-12 | Method for decreasing image noise |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNA031194818A CN1530874A (en) | 2003-03-12 | 2003-03-12 | Method for decreasing image noise |
Publications (1)
Publication Number | Publication Date |
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CN1530874A true CN1530874A (en) | 2004-09-22 |
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Family Applications (1)
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CNA031194818A Withdrawn CN1530874A (en) | 2003-03-12 | 2003-03-12 | Method for decreasing image noise |
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CN (1) | CN1530874A (en) |
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2003
- 2003-03-12 CN CNA031194818A patent/CN1530874A/en not_active Withdrawn
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WW01 | Invention patent application withdrawn after publication |