CN102098422A - Image edge processing system and method - Google Patents
Image edge processing system and method Download PDFInfo
- Publication number
- CN102098422A CN102098422A CN2009102462894A CN200910246289A CN102098422A CN 102098422 A CN102098422 A CN 102098422A CN 2009102462894 A CN2009102462894 A CN 2009102462894A CN 200910246289 A CN200910246289 A CN 200910246289A CN 102098422 A CN102098422 A CN 102098422A
- Authority
- CN
- China
- Prior art keywords
- edge
- image
- smoothing
- edge data
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Facsimile Image Signal Circuits (AREA)
- Image Processing (AREA)
Abstract
The invention relates to an image edge processing system and an image edge processing method. The image edge processing system comprises an edge filter, an edge smoothing filter and an adder, wherein the edge filter receives and processes an input image to generate edge data; the edge smoothing filter processes the edge data, filters image noises away and remains an image edge to generate smoothed edge data; and the adder adds the smoothed edge data into the input image to generate an edge smoothed image. The image edge processing method comprises the following steps of: processing the input image to generate the edge data; processing the edge data, filtering the image noises array and remaining the image edge to generate the smoothed edge data; and adding the smoothed edge data to the input image to generate the edge smoothed image.
Description
Technical field
The present invention relates to a kind of digital image and handle, particularly relate to a kind of treatment system and method for image edge of image reprocessing.
Background technology
Digital camera or video camera become people's indispensable electronic installation in life gradually.In order to reduce cost and commodity price is used to offer more society, optical element or the electronic component of forming digital camera or video camera may thereby cause bad image pre-treatment (preprocessing), make image quality reduce.For example, because optics resolving power deficiency, electronics noise are excessive, digital signal processor (DSP) image pre-treatment distortion etc. is produced image, particularly image edge place may cause the excessive of image incidental information.
Therefore, need the reprocessing mechanism that proposes a kind of image badly, under the prerequisite that does not increase cost, reduce image incidental information and promote image quality.
Summary of the invention
The object of the present invention is to provide a kind of treatment system and method for image edge, in order to reduce the object edge of image incidental information and smoothing image, promote definition and the sharpness of human eye, thereby promote image quality image.
The object of the invention to solve the technical problems realizes by the following technical solutions.The treatment system of a kind of image edge that proposes according to the present invention, it comprises: an edge filter (edgefilter), in order to handle an input image to produce the edge data; At least one edge-smoothing filter (edge-smoothing filter), in order to handle this edge data, the filtering image incidental information also keeps image edge, to produce smoothing edge data; And an adder, in order to this smoothing edge data is added to this input image, to produce the image of an edge smoothing.
The object of the invention to solve the technical problems also can be applied to the following technical measures to achieve further.
The treatment system of aforesaid image edge, wherein said boundary filter comprise a high pass filter (high-pass filter).
The treatment system of aforesaid image edge, wherein said edge-smoothing filter comprise a band pass filter (band-pass filter).
The treatment system of aforesaid image edge, wherein said band pass filter comprise one two-way (bilateral) filter.
The treatment system of aforesaid image edge, it also comprises at least one multiplier (-icator), be coupled to after this boundary filter or this edge-smoothing filter after, in order to provide gain to this edge data or this smoothing edge data.
The yield value that the treatment system of aforesaid image edge, wherein said multiplier (-icator) offer each this edge data or this smoothing edge data is non-identical.
The treatment system of aforesaid image edge, wherein said multiplier (-icator) comprise and table look-up (lookuptable, LUT), in order to store this non-identical yield value.
The treatment system of aforesaid image edge, the number of wherein said edge-smoothing filter are two, and it reaches after this multiplier (-icator) before being respectively coupled to this multiplier (-icator).
The treatment system of aforesaid image edge, it also comprises a limiter (limiter), in order to this edge data behind the limiting gain or this smoothing edge data between a peak and a minimum.
The treatment system of aforesaid image edge, luminosity (luminance) composition that wherein said input image is an image.
The object of the invention to solve the technical problems also realizes by the following technical solutions.The processing method of a kind of image edge that proposes according to the present invention, it may further comprise the steps: handle an input image to produce the edge data; Handle this edge data, the filtering image incidental information also keeps image edge, to produce smoothing edge data; And this smoothing edge data added to this input image, to produce the image of an edge smoothing.
The object of the invention to solve the technical problems also can be applied to the following technical measures to achieve further.
The processing method of aforesaid image edge, the step of wherein said generation edge data comprises:
Allow the radio-frequency component of this input image pass through with high-pass filtering (high-pass filtering) method, and the low-frequency component of this input image of decaying.
The processing method of aforesaid image edge, the step of wherein said generation smoothing edge data comprises: allow the pre-set frequency band composition of this edge data pass through with bandpass filtering (band-pass filtering) method, and all the other band component of this edge data that decays.
The processing method of aforesaid image edge, wherein said band-pass filtering method are one two-way (bilateral) filtering method.
The processing method of aforesaid image edge wherein after the step of above-mentioned generation edge data or after the step of generation smoothing edge data, also comprises at least one step, in order to provide gain to this edge data or this smoothing edge data.
The processing method of aforesaid image edge, wherein in above-mentioned gain step, the yield value that offers each this edge data or this smoothing edge data is non-identical.
The processing method of aforesaid image edge, wherein in above-mentioned gain step, also comprise construction one table look-up (lookup table, LUT), in order to store this non-identical yield value.
The processing method of aforesaid image edge, the step of wherein said generation smoothing edge data is carried out secondary altogether, and it reaches after this gain step before being executed in this gain step respectively.
The processing method of aforesaid image edge, it also comprises a step, in order to this edge data behind the limiting gain or this smoothing edge data between a peak and a minimum.
The processing method of aforesaid image edge, luminosity (luminance) composition that wherein said input image is an image.
The present invention compared with prior art has tangible advantage and beneficial effect.As known from the above,, the invention provides a kind of treatment system of image edge, mainly comprise boundary filter (edge filter), edge-smoothing filter (edge-smoothing filter) and adder for achieving the above object.Boundary filter receives and handles the input image, to produce the edge data.Edge-smoothing filter process edge data, the filtering image incidental information also keeps image edge, to produce smoothing edge data.Adder adds to the input image with smoothing edge data, to produce the image of edge-smoothingization.
In one embodiment, also comprise multiplier (-icator), be coupled to after the boundary filter or the edge-smoothing filter after, in order to provide gain to edge data or smoothing edge data.
By technique scheme, the treatment system of image edge of the present invention and method have following advantage and beneficial effect at least: use edge-smoothing filter process edge data, therefore, but except the filtering image incidental information, more can keep image edge, in order to produce the smoothing edge, to improve image quality.
In sum, the invention relates to a kind of treatment system and method for image edge.Boundary filter receives and handles the input image, to produce the edge data.Edge-smoothing filter process edge data, the filtering image incidental information also keeps image edge, to produce smoothing edge data.Adder adds to the input image with smoothing edge data, to produce the image of edge-smoothingization.The present invention has obvious improvement technically, and has tangible good effect, really is a new and innovative, progressive, practical new design.
Above-mentioned explanation only is the general introduction of technical solution of the present invention, for can clearer understanding technological means of the present invention, and can be implemented according to the content of specification, and for above-mentioned and other purposes, feature and advantage of the present invention can be become apparent, below especially exemplified by preferred embodiment, and conjunction with figs., be described in detail as follows.
Description of drawings
Figure 1A is the block diagram of the image edge treatment system of the embodiment of the invention.
Figure 1B is the block diagram of the image edge treatment system of another embodiment of the present invention.
Fig. 1 C is the block diagram of the image edge treatment system of further embodiment of this invention.
Fig. 2 A is the flow chart of the image edge processing method of the embodiment of the invention.
Fig. 2 B is the flow chart of the image edge processing method of another embodiment of the present invention.
Fig. 2 C is the flow chart of the image edge processing method of further embodiment of this invention.
Fig. 3 is the block diagram of the image edge treatment system with limiter of the embodiment of the invention.
10: boundary filter 12: the edge-smoothing filter
12A: the first edge-smoothing filter 12B: the second edge-smoothing filter
14: adder 16: multiplier (-icator)
18: limiter 21-24: step
Embodiment
Reach technological means and the effect that predetermined goal of the invention is taked for further setting forth the present invention, below in conjunction with accompanying drawing and preferred embodiment, treatment system and its embodiment of method, structure, step, feature and the effect thereof of the image edge that foundation the present invention is proposed, describe in detail as after.
Figure 1A is the block diagram of image edge (edge) treatment system of the embodiment of the invention, it belongs to a kind of image reprocessing (post processing), applicable to, but be not limited to, camera head (for example digital camera or digital code camera) is in order to the smoothing image edge and reduce image incidental information (for example jagged edges noise).Fig. 2 A is the flow chart of the image edge processing method of the embodiment of the invention.In the embodiment of the invention, the image edge treatment system mainly comprises: boundary filter (edge filter) 10, edge-smoothingization (edge-smoothing) filter 12 and adder 14.
Above-mentioned boundary filter 10 receives and handles input image Y, to produce edge data (step 21).The input image Y of present embodiment only is luminosity (luminance) composition of image, is designated hereinafter simply as the input image.In the present embodiment, boundary filter 10 is high pass filter (high-passfilter), and it allows the radio-frequency component of input image Y pass through, but the low-frequency component of decay input image Y.High pass space filtering (high-pass spatial filtering) uses a high-pass filtering matrix as shade (mask) usually, and with the coefficient of matrix as weight (weighting), in order to each pixel and neighbor pixel thereof are computed weighted.
Above-mentioned edge-smoothing filter 12 is handled the edge data that is produced, to produce smoothing edge data (step 22).The edge-smoothing filter 12 of present embodiment mainly has two functions: the filtering image incidental information also keeps (preserve) image edge.Compared to traditional smoothing filter (for example, low pass filter in order to filtering noise information), but the edge-smoothing filter 12 of present embodiment also can keep the image edge data of feedback from boundary filter 10 except filtering noise information, makes the more smoothing of edge data by this.In the present embodiment, edge-smoothing filter 12 is band pass filter (band-pass filter), in order to filtering image extremely high frequency composition and extremely low frequency composition, that is makes way between the two that the signal of video signal of frequency band passes through.In other words, band pass filter passes through by the relevant pre-set frequency band composition of edge data, and all the other band component beyond the decay edge data.In a preferred embodiment, edge-smoothing filter 12 is to use, but is not limited to, two-way (bilateral) filtering technique.Implementation detail about the bidirectional filtering technology, can be with reference to " the Bilateral Filtering for Gray and Color Images " of people such as C.Tomasi exposure, Proceedings of 1998IEEE International Conference on Computer Vision, Bombay, India.
In the present embodiment, also can use multiplier (-icator) 16, it is coupled to after the edge-smoothing filter 12, in order to provide gain to smoothing edge data (step 23).At last, the smoothing edge data after will gaining with adder 14 adds to input image Y, to produce the image output Y ' (step 24) of edge-smoothingization.Compared to input image Y, the image output Y ' of edge-smoothingization can reduce image edge noise (the edge noise that for example make a video recording bad or bad image pre-treatment are caused), make image edge reach smoothing, promote definition and the sharpness of human eye, thereby promote image quality image.
Figure 1B is the block diagram of the image edge treatment system of another embodiment of the present invention, and Fig. 2 B is the flow chart of the image edge processing method of another embodiment of the present invention.The framework of present embodiment and last embodiment (Figure 1A) is similar, and different places are: the multiplier (-icator) 16 of present embodiment is to be coupled to after the boundary filter 10, but is positioned at before the edge-smoothing filter 12, in order to provide gain to the edge data.Therefore, present embodiment elder generation execution in step 23 is to provide gain, and execution in step 22 is with filtering image incidental information and reservation image edge again.
Fig. 1 C is the block diagram of the picture edge treated system of further embodiment of this invention, and Fig. 2 C is the flow chart of the image edge processing method of further embodiment of this invention.The framework of present embodiment and embodiment before (Figure 1A or Figure 1B) is similar, different places are: present embodiment has two edge-smoothing filters: the first edge-smoothing filter 12A and the second edge-smoothing filter 12B, it reaches after the multiplier (-icator) 16 before being respectively coupled to multiplier (-icator) 16.In other words, multiplier (-icator) 16 is to be coupled between the first/the second edge-smoothing filter 12A/12B, in order to the smoothing edge data of gain to the first edge-smoothing filter 12A to be provided.Therefore, present embodiment is in providing gain (step 23) before, the execution in step 22A of elder generation is carrying out filtering first time image incidental information and to keep image edge, and in providing gain (step 23) afterwards, execution in step 22B is to carry out filtering second time image incidental information and reservation image edge again.
In one embodiment, above-mentioned multiplier (-icator) 16 is a kind of adaptive (adaptive) multiplier (-icator), and its yield value that offers each edge data (Figure 1A) or smoothing edge data (Figure 1B or Fig. 1 C) is not necessarily identical.The adaptive of multiplier (-icator) can use tables look-up that (lookup table LUT) implements, in order to store default non-same gain value.
In another embodiment, after multiplier (-icator) 16, also can couple a limiter (limiter), in order to the data behind the limiting gain between a peak and a minimum.Fig. 3 is the block diagram with respect to the image edge treatment system of Figure 1A, but additionally couple a limiter 18 after multiplier (-icator) 16, in order to the smoothing edge data behind the limiting gain between peak and minimum.Figure 1B and Fig. 1 C also can additionally couple a limiter 18 according to same principle, and its system architecture thereby omission do not demonstrate.
The above, it only is preferred embodiment of the present invention, be not that the present invention is done any pro forma restriction, though the present invention discloses as above with preferred embodiment, yet be not in order to limit the present invention, any those skilled in the art, in not breaking away from the technical solution of the present invention scope, when the method that can utilize above-mentioned announcement and technology contents are made a little change or be modified to the equivalent embodiment of equivalent variations, in every case be the content that does not break away from technical solution of the present invention, according to technical spirit of the present invention to any simple modification that above embodiment did, equivalent variations and modification all still belong in the scope of technical solution of the present invention.
Claims (20)
1. the treatment system of an image edge is characterized in that comprising:
One edge filter is in order to handle an input image to produce the edge data;
At least one edge-smoothing filter, in order to handle this edge data, the filtering image incidental information also keeps image edge, to produce smoothing edge data; And
One adder is in order to this smoothing edge data is added to this input image, to produce the image of an edge smoothing.
2. the treatment system of image edge according to claim 1 is characterized in that wherein said boundary filter comprises a high pass filter.
3. the treatment system of image edge according to claim 2 is characterized in that wherein said edge-smoothing filter comprises a band pass filter.
4. the treatment system of image edge according to claim 3 is characterized in that wherein said band pass filter comprises a two-way filter.
5. the treatment system of image edge according to claim 1, it is characterized in that it also comprises at least one multiplier (-icator), be coupled to after this boundary filter or this edge-smoothing filter after, in order to provide gain to this edge data or this smoothing edge data.
6. the treatment system of image edge according to claim 5, it is non-identical to it is characterized in that wherein said multiplier (-icator) offers the yield value of each this edge data or this smoothing edge data.
7. the treatment system of image edge according to claim 6 is characterized in that wherein said multiplier (-icator) comprises to table look-up, in order to store this non-identical yield value.
8. the treatment system of image edge according to claim 5, the number that it is characterized in that wherein said edge-smoothing filter is two, it is respectively coupled to before this multiplier (-icator) and after this multiplier (-icator).
9. the treatment system of image edge according to claim 5 is characterized in that it also comprises a limiter, in order to this edge data behind the limiting gain or this smoothing edge data between a peak and a minimum.
10. the treatment system of image edge according to claim 1 is characterized in that the luminosity composition that wherein said input image is an image.
11. the processing method of an image edge is characterized in that it may further comprise the steps:
Handle an input image to produce the edge data;
Handle this edge data, the filtering image incidental information also keeps image edge, to produce smoothing edge data; And
This smoothing edge data is added to this input image, to produce the image of an edge smoothing.
12. the processing method of image edge according to claim 11 is characterized in that the step of wherein said generation edge data comprises:
Allow the radio-frequency component of this input image pass through with the high-pass filtering method, and the low-frequency component of this input image of decaying.
13. the processing method of image edge according to claim 12 is characterized in that the step of wherein said generation smoothing edge data comprises:
Allow the pre-set frequency band composition of this edge data pass through with band-pass filtering method, and all the other band component of this edge data that decays.
14. the processing method of image edge according to claim 13 is characterized in that wherein said band-pass filtering method is a two-way filtering method.
15. the processing method of image edge according to claim 11, it is characterized in that wherein after the step of above-mentioned generation edge data or after the step of generation smoothing edge data, also comprise at least one step, in order to provide gain to this edge data or this smoothing edge data.
16. the processing method of image edge according to claim 15 is characterized in that wherein in above-mentioned gain step, the yield value that offers each this edge data or this smoothing edge data is non-identical.
17. the processing method of image edge according to claim 16 is characterized in that wherein also comprising construction one and tabling look-up, in order to store this non-identical yield value in above-mentioned gain step.
18. the processing method of image edge according to claim 15 is characterized in that the step of wherein said generation smoothing edge data is carried out secondary altogether, it reaches after this gain step before being executed in this gain step respectively.
19. the processing method of image edge according to claim 15 is characterized in that it also comprises a step, in order to this edge data behind the limiting gain or this smoothing edge data between a peak and a minimum.
20. the processing method of image edge according to claim 11 is characterized in that the luminosity composition that wherein said input image is an image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009102462894A CN102098422A (en) | 2009-12-15 | 2009-12-15 | Image edge processing system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009102462894A CN102098422A (en) | 2009-12-15 | 2009-12-15 | Image edge processing system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102098422A true CN102098422A (en) | 2011-06-15 |
Family
ID=44131272
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2009102462894A Pending CN102098422A (en) | 2009-12-15 | 2009-12-15 | Image edge processing system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102098422A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9082171B2 (en) | 2013-04-25 | 2015-07-14 | Industrial Technology Research Institute | Image processing device for reducing image noise and the method thereof |
-
2009
- 2009-12-15 CN CN2009102462894A patent/CN102098422A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9082171B2 (en) | 2013-04-25 | 2015-07-14 | Industrial Technology Research Institute | Image processing device for reducing image noise and the method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7995855B2 (en) | Image processing method and apparatus | |
| JP4290193B2 (en) | Image processing device | |
| CN101626454B (en) | Method for intensifying video visibility | |
| CN109389560B (en) | Adaptive weighted filtering image noise reduction method and device and image processing equipment | |
| CN103236040A (en) | Color enhancement method and color enhancement device | |
| US8406559B2 (en) | Method and system for enhancing image sharpness based on local features of image | |
| TW201120809A (en) | System and method for processing an image edge | |
| CN104335565A (en) | Image processing method with detail-enhancing filter with adaptive filter core | |
| CN107862672B (en) | Image defogging method and device | |
| Liu et al. | Low-light video image enhancement based on multiscale retinex-like algorithm | |
| CN105809643A (en) | Image enhancing method based on self-adaptive block channel stretching | |
| CN104318529A (en) | Method for processing low-illumination images shot in severe environment | |
| CN111292269A (en) | Image tone mapping method, computer device and computer readable storage medium | |
| Peng et al. | Multi-algorithm fusion of RGB and HSV color spaces for image enhancement | |
| Ngo et al. | Nonlinear unsharp masking Algorithm | |
| Gu et al. | A low‐light image enhancement method based on image degradation model and pure pixel ratio prior | |
| CN201726464U (en) | Novel video image sharpening processing device | |
| JP5614550B2 (en) | Image processing method, image processing apparatus, and program | |
| CN102098422A (en) | Image edge processing system and method | |
| CN101909214B (en) | Image processing circuit and method | |
| Tang et al. | Sky-preserved image dehazing and enhancement for outdoor scenes | |
| CN105469367A (en) | Dynamic video image definition enhancement method and device | |
| Mittal et al. | An efficient video enhancement method using LA* B* analysis | |
| Jung et al. | Detail-preserving tone mapping for low dynamic range displays with adaptive gamma correction | |
| Guo et al. | Low light image enhancement algorithm based on retinex and dehazing model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20110615 |