CN1316429C - Digital image processing method - Google Patents
Digital image processing method Download PDFInfo
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- CN1316429C CN1316429C CNB2004100028906A CN200410002890A CN1316429C CN 1316429 C CN1316429 C CN 1316429C CN B2004100028906 A CNB2004100028906 A CN B2004100028906A CN 200410002890 A CN200410002890 A CN 200410002890A CN 1316429 C CN1316429 C CN 1316429C
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- 238000003672 processing method Methods 0.000 title claims description 6
- 238000005728 strengthening Methods 0.000 claims abstract description 12
- 230000003313 weakening effect Effects 0.000 claims 2
- 230000002708 enhancing effect Effects 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 19
- 230000000694 effects Effects 0.000 abstract description 5
- 230000003247 decreasing effect Effects 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 6
- 230000002787 reinforcement Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000012467 final product Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
Abstract
The present invention relates to a characteristic strengthening method which is suitable for digital image processing. The present invention finds local maximum values and local minimum values in a specific characteristic in images in a unidimensional mode; the difference value of each local maximum value and the previous local minimum value, and the difference value of each local minimum value and the previous local maximum value are calculated. Each corresponding local maximum value is increased or each corresponding local minimum value is decreased by the respective difference value to achieve the effect of strengthening characteristics.
Description
Technical field
The present invention relates to a kind of method of image processing, particularly a kind of image is made one-dimensional operation, to reach the method for strengthening feature.
Background technology
Image sensor is when pick-up image, because external environment and internal signal handle and The noise, makes institute's picked image and actual image difference to some extent, and makes image distortion and be difficult to identification.In the pick-up image process, usually image is done suitable processing, and basic image processing comprises image restoration (image restoration), image enhancement (image enhancement), data acquisition (information extraction) and be connected to database or (the GeometricInformation System of geological information system; GIS).During process image data, revise institute's picked image and can make image be more prone to identification, also can make the more approaching real image of picked image.Image enhancement mainly is by the feature of strengthening in the image in a certain respect, and allows image become more clear.These image enhancement technology comprise that edge strengthening (edge enhancement), contrast are extended (contrast stretch), feature captures (feature extraction), spatial filtering (spatial filtering) or the like.
Form because digitized video is separated picture unit (resolution cell) by many finite dimensions (finite dimensions), the edge of image is fuzzy easily in generative process.The edge strengthening technology is to attempt profile with image a kind of more clearly image reinforcement method that becomes.This method produces space derivative (spatial derivatives) on mathematics, digitized video value slope (gradients) just, and being used makes that the edge of image is clearer clearly demarcated.
The purpose of contrast extension technology is that the scope that will contrast in the image increases.This technology utilization is the histogram of digital value in image originally, all digital values originally is extended into according to a certain percentage the gamut (full range) of admissible image digital value.A kind of common method is that linear contrast is extended (linearcontrast stretch), the record value of maximum is converted to admissible largest image digital value, and the record value of minimum is converted to admissible minimum image digital value.Record value in the middle of other is then with the linear mode adjustment.And Gauss's extension (Gaussian stretch) also is a kind of similar conversion regime, and the distribution of only supposing digital value is a bell curve.
Traditional image enhancement technology is that image is done the computing of two dimension (two dimensions) and reached the effect of strengthening identification.Yet the data volume of two-dimentional computing and the complexity of formula can make and expend considerable cost and power in the practice of integrated circuit.Therefore the invention provides a kind of method of image enhancement, only must do the computing of one dimension (one dimension), can reach the effect of whole generation image feature being strengthened (feature enhancement) institute's picked image.
Summary of the invention
In view of this, purpose of the present invention just is to provide a kind of method of image enhancement, strengthens image feature, makes more easy identification of image.
Another object of the present invention is to utilize better simply image feature intensifying method, saves the cost and the power that are implemented on the integrated circuit.
For achieving the above object, the invention provides and a kind of digitized video is done the method that one-dimensional characteristic is strengthened, by the summit (peak) of searching digital value in the image feature, just the digital value slope is zero place, and increases or reduce the digital value on each summit.Image sensor is measured in the digitized video digital value of this image feature in the one dimension wherein, for example selects the horizontal execution image enhancement of image, and the summit that just can be listed as image feature in (row) to each increases or reduce this digital value.Image feature can be brightness (illumination) value of pixel in the image (pixel) or colourity (chrominance) value or the like.Each summit can be local maximum (local maximum) or local minimum (local minimum).The method that one-dimensional characteristic of the present invention is strengthened also comprises judges that each summit is local maximum or local minimum.If the digital value on both sides, summit than the digit value on summit itself all hour judges that this summit is a local maximum, and when the digit value on both sides, summit is all bigger than the digit value on summit itself, judge that then this summit is a local minimum.The digital value on each summit increases its local maximum or reduces its local minimum according to a variable value.And the variable value on each summit is a special ratios of the difference on the previous summit in this summit and elder generation.The one dimension that image feature intensifying method of the present invention can be chosen image wantonly is done reinforcement, can be X (laterally) or Y (vertically).Behind one dimension (for example X) the execution characteristic strengthening to image, do not need other one dimension (for example Y) to carry out characteristic strengthening to image.
To state on the present invention with other purpose, feature and advantage and can become apparent in order to make, a preferred embodiment cited below particularly, and be described with reference to the accompanying drawings.
Description of drawings
Fig. 1 handles the simple block diagram of front end for digitized video;
Fig. 2 is pixel brightness contribution figure in the digitized video, and the method that one-dimensional characteristic of the present invention is strengthened is described.
The reference numeral explanation
The 10-image;
The 12-image sensor;
The 14-image data;
16-analog-to-digital converter (ADC);
The 18-numeric representation;
The 20a-20e-summit;
The 22a-22e-luminance difference;
The new brightness value on 24a-24e-summit.
Embodiment
See also Fig. 1, Fig. 1 shows the simple block diagram of image receiving system in the embodiments of the invention.Bidimensional image sensor 12 pick-up images 10, and the analog image data 14 that captured are reached analog-to-digital converter (Analog to Digital Converter; ADC) 16, analog-to-digital converter 16 converts image data the numeric representation 18 of image to, just with image digitization.
Image sensor 12 can once capture image 10, to obtain the eigenwert of image pixel, this is characterized as the brightness value of pixel in the present embodiment, and the eigenwert of these represent pixels is included in inputs to analog-to-digital converter (Analog to Digital Converter in the image data 14; ADC) 16 to obtain the digitized brightness value of two-dimensional pixel.At this moment digital value that can each row pixel intensity is a unit, carries out the reinforcement of brightness.As the brightness value of 13 pixels of row wherein of show image among Fig. 2, vertical coordinate representative luminance value wherein, horizontal coordinate is the position coordinates of represent pixel then.Solid line is image sensor sample the out brightness value of pixel among the figure.Detect each summit of brightness by the present invention, as the summit 20a-20e that is indicated among the figure.The summit can be the local maximum of brightness, such as summit 20a, 20c and 20e; Also can be the local minimum of brightness, such as summit 20b and 20d.
At this moment, earlier with each summit with it the luminance difference 22a-22e on previous summit calculate, be multiplied by a ratio of previous setting, add or deduct the brightness value on summit originally.Because the brightness value on summit can be positive number or negative, the luminance difference of calculating also can be positive number or negative, therefore on the implementation, after luminance difference is multiplied by the ratio of previous setting, need not judge and want addition or subtract each other the brightness value on summit originally, directly will have the difference of sign and summit addition originally to get final product.In the example as Fig. 2, the previous ratio of setting is 0.5 (50%), so the value of each summit increase or minimizing can be pairing luminance difference 22a-22e half.When this summit is local maximum, pairing half luminance difference is added on the brightness value originally of summit; Add as summit 20a among the figure and half of luminance difference 22a to obtain new brightness value 24a.And when this summit is local minimum, then summit brightness value is originally deducted pairing half luminance difference; Deduct luminance difference 22b as summit 20b among the figure, and obtain new brightness value 24b.So the brightness value gap of the new brightness value 24a-24e on each summit and other pixel is bigger, reaches the effect of characteristic strengthening by this.
One dimension image reinforcement method of the present invention may be implemented in flat image, promptly in any one dimension of bidimensional image (X or Y).Image reinforcement method of the present invention need not be simultaneously done the calculating of image enhancement to X-axis and Y-axis, just can reach enough characteristic strengthening effects.
Because image feature intensifying method of the present invention need only be done the computing of one dimension to image, and is simple and quick compared to known two-dimentional computing, and can save many costs and power on the implementation, dwindles needed integrated circuit.
Image feature is to do example with the brightness of image in the embodiment of the invention, but the feature of other digitized video for example the colourity of shadow sample can also same way as implement the present invention.
Though the present invention discloses as above with preferred embodiment; right its is not in order to limit the present invention; those skilled in the art can do some changes and retouching under the prerequisite of the spirit and scope that do not break away from the present invention, so protection scope of the present invention is looked claim of the present invention and is as the criterion.
Claims (4)
1. a digital video processing method comprises the following steps:
Calculate with a predetermined characteristic, obtain this digitized video of performance a plurality of eigenwerts;
Described eigenwert is searched a plurality of summits in the one dimension mode;
Judge that each summit is local maximum or local minimum; And
For each summit provides one to be this summit variable value of a special ratios of the difference on last summit with it, be used for increasing this local maximum, or reduce the eigenwert of this local minimum.
2. digital video processing method as claimed in claim 1, wherein this is characterized as image brilliance.
3. digital video processing method as claimed in claim 1, wherein to search be any one dimension of selecting two dimension in this digitized video to the one dimension mode, measures described eigenwerts of each row in this one dimension or each row in regular turn.
4. digital video processing method as claimed in claim 1, wherein when judging that each summit is this local maximum or this local minimum, if this eigenwert is gone to when weakening by enhancing, judge that this summit is this local maximum, and go to when strengthening by weakening when this eigenwert, judge that then this summit is this local minimum.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2004100028906A CN1316429C (en) | 2004-01-20 | 2004-01-20 | Digital image processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2004100028906A CN1316429C (en) | 2004-01-20 | 2004-01-20 | Digital image processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1648949A CN1648949A (en) | 2005-08-03 |
| CN1316429C true CN1316429C (en) | 2007-05-16 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB2004100028906A Expired - Lifetime CN1316429C (en) | 2004-01-20 | 2004-01-20 | Digital image processing method |
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Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| TWI591545B (en) * | 2016-06-30 | 2017-07-11 | Fingerprint image detecting device and method thereof |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4760541A (en) * | 1986-01-29 | 1988-07-26 | General Electric Company | Two dimensional digital spatial filter for enhancement of point sources |
| US4941192A (en) * | 1987-04-20 | 1990-07-10 | Hitachi, Ltd. | Method and apparatus for recognizing pattern of gray level image |
| JPH043275A (en) * | 1990-04-20 | 1992-01-08 | Fuji Photo Film Co Ltd | Image data processor |
| US5347594A (en) * | 1991-12-10 | 1994-09-13 | General Electric Cgr | Method of image analysis |
| JPH09233342A (en) * | 1996-02-26 | 1997-09-05 | Fuji Photo Film Co Ltd | Contour emphasis method |
| JPH10336441A (en) * | 1997-06-05 | 1998-12-18 | Matsushita Electric Ind Co Ltd | Image area attribute discrimination method |
-
2004
- 2004-01-20 CN CNB2004100028906A patent/CN1316429C/en not_active Expired - Lifetime
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4760541A (en) * | 1986-01-29 | 1988-07-26 | General Electric Company | Two dimensional digital spatial filter for enhancement of point sources |
| US4941192A (en) * | 1987-04-20 | 1990-07-10 | Hitachi, Ltd. | Method and apparatus for recognizing pattern of gray level image |
| JPH043275A (en) * | 1990-04-20 | 1992-01-08 | Fuji Photo Film Co Ltd | Image data processor |
| US5347594A (en) * | 1991-12-10 | 1994-09-13 | General Electric Cgr | Method of image analysis |
| JPH09233342A (en) * | 1996-02-26 | 1997-09-05 | Fuji Photo Film Co Ltd | Contour emphasis method |
| JPH10336441A (en) * | 1997-06-05 | 1998-12-18 | Matsushita Electric Ind Co Ltd | Image area attribute discrimination method |
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| CN1648949A (en) | 2005-08-03 |
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