CN101076078A - Method and device for processing image - Google Patents
Method and device for processing image Download PDFInfo
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- CN101076078A CN101076078A CN 200610081850 CN200610081850A CN101076078A CN 101076078 A CN101076078 A CN 101076078A CN 200610081850 CN200610081850 CN 200610081850 CN 200610081850 A CN200610081850 A CN 200610081850A CN 101076078 A CN101076078 A CN 101076078A
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Abstract
The invention is used for increasing the definition of inputted image. Said inputted image is composed of multi pixels; all said pixels are divided into boarder part and background part. The image processing unit comprises a compound operation unit, a sharpening process unit and a boarder detection unit. Said compound operation unit is used for opening and closing the inputted image in order to generate a noise removing image; the sharpening process unit is used for sharpening the imputed image in order to generate a enhanced image; the boarder detection unit is used for receiving the noise removing image and the enhanced image, and deciding the inputted image belongs to the board part or the background part in order to selectively output the grey level value of pixels in the enhanced image or the grey level value of pixels in the noise removing image.
Description
Technical field
The invention relates to a kind of image processing apparatus and method thereof, particularly can be effectively the background noise of input picture be eliminated about a kind of, and image processing apparatus and method thereof that margin signal is strengthened.By this, the definition of input picture can obtain to promote.
Background technology
The removal of images noise is the development priority of plane Display Technique always.When image has had noise, the evaluation that makes the user for picture quality is reduced.Generally speaking, common noise is from the trellis noise (Blocking) of the decipher of intermediate-freuqncy signal (VIF), the ripple of video (Ripple) and JPG/MPEG decompression.
Known technology in order to the removal of images noise comprises obfuscation (Smooth), middle pass filter (Mid-filter) and opens computing (Opening).The technology of relatively entering rank then have image null method on the kenel (Morphological Image Cleaning, MIC) and the open and close technology (Open-close and close-open, OCCO).When utilizing above-mentioned prior art to come the removal of images noise,, relatively also can make the sharpness variation of image though the elimination effect of noise is pretty good.
Therefore, main category of the present invention is to be to provide a kind of image processing apparatus and method thereof, not only can effectively the background noise of input picture be eliminated, and also margin signal can be strengthened simultaneously, and then address the above problem.
Summary of the invention
A category of the present invention is to provide a kind of image processing apparatus and method thereof, can effectively the background noise of input picture be eliminated, and margin signal is strengthened.
According to a preferred embodiment, image processing apparatus of the present invention is in order to promote the definition (Definition) of input picture (Input image).Input picture is made up of a plurality of pixels (Pixel), and all pixels are divided into marginal portion (Edge portion) and background parts (Background portion).
Image processing apparatus comprises compound operation unit (Compound operating unit), sharp keenization processing unit (Sharpness processing unit) and edge detection unit (Edge detectingunit).The compound operation unit is handled (Open-closeprocessing) and is closed unlatching processing (Close-open processing) in order to input picture is carried out open and close, to produce the noise removing image.Sharp keenization processing unit is strengthened image in order to input picture is carried out sharp keenization processing to produce.Edge detection unit is in order to reception noise removing image and strengthen image, and judges that each pixel in the input picture belongs to marginal portion or background parts.When pixel belonged to the marginal portion, edge detection unit can be selected to export the GTG value of strengthening the pixel in the image, and when pixel belonged to background parts, edge detection unit can be selected the GTG value of the pixel in the output noise removal of images.
Therefore,, not only can effectively eliminate the noise of the background parts of input picture, also can strengthen the signal of marginal portion simultaneously, and then promote the definition of input picture according to image processing apparatus of the present invention.
The invention provides a kind of image processing method, in order to promote the definition of input picture, this input picture is made up of a plurality of pixel, these pixels are divided into marginal portion and background parts, this method comprises the following step and comprises: (a) this input picture is carried out open and close and handle and close the unlatching processing, to produce the noise removing image; (b) this input picture is carried out sharp keenization processing, strengthen image to produce; (c) receive this noise removing image and this reinforcement image, and judge that each these pixel in this input picture belong to this marginal portion or this background parts,, then carry out step (d) if this pixel belongs to this marginal portion, if this pixel belongs to this background parts, then carry out step (e); (d) export the GTG value of this pixel in this reinforcement image; And the GTG value of (e) exporting this pixel in this noise removing image.
Can be about the advantages and spirit of the present invention by following detailed Description Of The Invention and appended graphic being further understood.
Description of drawings
Fig. 1 is the functional block diagram that illustrates the image processing apparatus of one preferred embodiment according to the present invention.
Fig. 2 is the schematic diagram that illustrates the input picture among Fig. 1.
Fig. 3 A is the schematic diagram that illustrates the erosion image among Fig. 1.
Fig. 3 B is the schematic diagram that illustrates the expansion plans picture among Fig. 1.
Fig. 4 A is the schematic diagram that illustrates the open and close image among Fig. 1.
Fig. 4 B is the schematic diagram of opening image of closing that illustrates among Fig. 1.
Fig. 4 C is the schematic diagram that illustrates the noise removing image among Fig. 1.
Fig. 5 is the schematic diagram that illustrates the reinforcement image among Fig. 1.
Fig. 6 A is the schematic diagram that illustrates the intermediate image among Fig. 1.
Fig. 6 B is the schematic diagram that illustrates the smoothed image among Fig. 1.
Fig. 7 is the schematic diagram that illustrates the output image among Fig. 1.
Fig. 8 A is the input picture of adjusting without the present invention.
Fig. 8 B is through the adjusted input picture of the present invention.
Fig. 9 is the flow chart of the image processing method of one preferred embodiment according to the present invention.
Figure 10 is the detail flowchart of the step S106 among Fig. 9.
[main element label declaration]
1: image processing apparatus 10: the compound operation unit
100,103,105,106: corrode operator
101,102,104,107: dilation operation
108: adder 109: multiplier
12: sharp keenization processing unit 14: edge detection unit
140: subtracter 142: the smoothing processing module
144: detector I1: input picture
I2: noise removing image I 3: strengthen image
I4: output image EI: corrode image
DI: expansion plans is as MI: intermediate image
SI: smoothed image OCI: open and close image
COI: close and open image M 1, M2, M3, M4: shielding
S100～S110, S1060～S1068: process step
Embodiment
See also Fig. 1 and Fig. 2, Fig. 1 is the functional block diagram that illustrates the image processing apparatus 1 of one preferred embodiment according to the present invention.Fig. 2 is the schematic diagram that illustrates the input picture I1 among Fig. 1.The invention provides a kind of image processing apparatus 1, be used to promote in the display system (not shown) definition (Definition) of input picture (Inputimage) I1.Generally speaking, input picture I1 is made up of a plurality of pixels (Pixel), and all pixels can be divided into marginal portion (Edge portion) and background parts (Background portion).As shown in Figure 2, input picture I1 can be made up of 13*11 pixel, and each pixel has the GTG value.As shown in Figure 1, image processing apparatus 1 comprises compound operation unit (Compound operating unit) 10, sharp keenization processing unit (Sharpnessprocessing unit) 12 and edge detection unit (Edge detecting unit) 14.
As shown in Figure 1, compound operation unit 10 is handled (Open-close process) and is closed unlatching processing (Close-open process) in order to input picture I1 is carried out open and close, to produce noise removing image I 2.The open and close processing is meant carries out calculation process via corroding operator (Erosion operator) 100, dilation operation (Dilation operator) 101, dilation operation 102 and corroding operator 103 in regular turn with input picture I1.Close open to handle and be meant input picture I1 in regular turn via dilation operation 104, corrode operator 105, corrode operator 106 and dilation operation 107 carries out calculation process.
See also Fig. 3, Fig. 3 A is the schematic diagram that illustrates the erosion image EI among Fig. 1.Fig. 3 B illustrates expansion plans among Fig. 1 as the schematic diagram of DI.For example, input picture I1 is via the erosion operator 100 of compound operation unit 10, corrode processing with the shielding M1 of one dimension after, can produce and corrode image EI, as shown in Figure 3A.Input picture I1 is via dilation operation 104 of compound operation unit 10, carry out expansion process with the shielding M2 of one dimension after, can produce expansion plans as DI, shown in Fig. 3 B.Be noted that the present invention can also two-dimentional shielding carry out the open and close processing or close the unlatching processing, but utilizes the one dimension shielding can save hardware resource.
Please consult Fig. 1 and Fig. 4 again.Fig. 4 A is the schematic diagram that illustrates the open and close image OCI among Fig. 1.Fig. 4 B is the schematic diagram of opening image C OI of closing that illustrates among Fig. 1.Fig. 4 C is the schematic diagram that illustrates the noise removing image I 2 among Fig. 1.In this embodiment, erosion image EI can produce open and close image OCI (shown in Fig. 4 A) after carrying out calculation process via dilation operation 101, dilation operation 102 and erosion operator 103 in regular turn again.Expansion plans can produce to close and open image C OI (shown in Fig. 4 B) after carrying out calculation process via erosion operator 105, erosion operator 106 and dilation operation 107 in regular turn again as DI.Then, open and close image OCI and close and open image C OI and add overall average via adder (Adder) 108 and multiplier (Multiplicator) 109 again can produce noise removing image I 2 (shown in Fig. 4 C).Handle and close to open about open and close and be treated to those skilled in the art and can reach easily, do not repeat them here.
Please consult Fig. 1 and Fig. 5 again, Fig. 5 is the schematic diagram that illustrates the reinforcement image I 3 among Fig. 1.Sharp keenization processing unit 12 is strengthened image I 3 in order to input picture I1 is carried out sharp keenization processing to produce.In this embodiment, sharp keenization processing unit 12 utilizes shielding M3 (as shown in Figure 5) that input picture I1 is carried out sharp keenization processing, strengthens image I 3 to produce.Be noted that prior art is with the shielding of following formula one input picture to be done sharp keenization processing:
Formula one:
In formula one, the levels of sharpness of last image of K representative.For example, definition can be divided into 15 grades (that is 1 ≦ K ≦ 15), if the levels of sharpness of last image is the 6th grade, then the computing shielding corresponding to input picture is [2 11-2]/7.Yet,,, make the definition of marginal portion significantly promote so can directly utilize the strongest computing shielding M3 that is shown among Fig. 5 (even also K=1) that input picture is done sharp keenization processing because the present invention can judge the marginal portion and the background parts of input picture.
Please consult Fig. 1 and Fig. 6 again, Fig. 6 A is the schematic diagram that illustrates the intermediate image MI among Fig. 1.Fig. 6 B is the schematic diagram that illustrates the smoothed image SI among Fig. 1.As shown in Figure 1, edge detection unit 14 comprises subtracter (Subtractor) 140, smoothing processing module (Smooth processing module) 142 and detector (Detector) 144.Subtracter 140 subtracts each other as DI in order to will corrode image EI and expansion plans, to produce intermediate image MI (as shown in Figure 6A).Smoothing processing module 142 is utilized shielding M4, and middle image M I is carried out smoothing processing, to produce smoothed image SI, shown in Fig. 6 B.Shielding M4 carries out smoothing processing with each pixel of [1 2 1]/4 couple middle image M I.For example, the P before the smoothing processing
34Be 6, the P after the smoothing processing
34=(8*1+6*2+6*1)/4=7, that is P
34Meeting becomes 7 by 6, by that analogy.In another preferred embodiment, shielding M4 can also carry out smoothing processing to each pixel in [1 222 1]/8.
Then, detector 144 can be compared the GTG value of each pixel among the smoothed image SI with default threshold value (Threshold).When the GTG value of pixel during greater than default threshold value, detector 144 can judge that these pixels belong to the marginal portion; When the GTG value of pixel was less than or equal to default threshold value, 144 of detectors can judge that this pixel belongs to background parts.Default threshold value (Threshold) can be set according to practical application request by the designer.When pixel belonged to this marginal portion, edge detection unit 14 can select output to strengthen the GTG value of this pixel in the image I 3, and when pixel belonged to background parts, edge detection unit 14 can be selected the GTG value of this pixel among the output noise removal of images I2.
See also Fig. 7, Fig. 7 is the schematic diagram that illustrates the output image I4 among Fig. 1.For example, if default threshold value is set at 5, then the image I 4 of edge detection unit I4 output is as shown in Figure 7.
See also Fig. 8, Fig. 8 A is the input picture of adjusting without the present invention.Fig. 8 B is through the adjusted input picture of the present invention.The definition of image that is shown in Fig. 8 B is more many than the image enhancement that is shown among Fig. 8 A significantly.
See also Fig. 9, Fig. 9 is the flow chart of the image processing method of one preferred embodiment according to the present invention.See also Fig. 2 to Fig. 7, image processing method of the present invention is the definition that is used to promote in the display system (not shown) input picture I1.According to above-mentioned preferred embodiment, image processing method of the present invention comprises the following step:
Step S100: input picture I1 is carried out open and close handle and close the unlatching processing, to produce noise removing image I 2;
Step S102: input picture I1 is carried out sharp keenization processing, strengthen image I 3 to produce;
Step S104: receive noise removing image I 2 and strengthen image I 3;
Step S106: judge that each pixel among the input picture I1 belongs to marginal portion or background parts.If pixel belongs to the marginal portion, then carry out step S108, if pixel belongs to background parts, then carry out step S110;
Step S108: the GTG value of this pixel in the image I 3 is strengthened in output;
Step S110: the GTG value of this pixel among the output noise removal of images I2.
In above-mentioned step S100, input picture I1 handles via corroding, and can produce and corrode image EI, and input picture I1 can produce expansion plans as DI via expansion process.
See also Figure 10, Figure 10 is the detail flowchart of the step S106 among Fig. 9.Step S106 comprises the following step:
Step S1060: will corrode image EI and expansion plans and subtract each other, to produce intermediate image MI as DI;
Step S1062: middle image M I is carried out smoothing processing, to produce smoothed image SI;
Step S1064: the GTG value of each pixel among the smoothed image SI is compared with default threshold value.If the GTG value of pixel is then carried out step S1066 greater than default threshold value,, then carry out step S1068 if the GTG value of pixel is less than or equal to default threshold value;
Step S1066: judge that this pixel belongs to the marginal portion;
Step S1068: judge that this pixel belongs to background parts.
Compared to prior art, according to image processing apparatus of the present invention and method thereof, not only can effectively eliminate the noise of the background parts of input picture, also can strengthen the signal of marginal portion simultaneously, and then promote the definition of input picture.
By the above detailed description of preferred embodiments, be to wish to know more to describe feature of the present invention and spirit, and be not to come category of the present invention is limited with above-mentioned disclosed preferred embodiment.On the contrary, its objective is that hope can contain in the category of claim scope of being arranged in of various changes and tool equality institute of the present invention desire application.Therefore, the category of the claim scope that the present invention applied for should be done the broadest explanation according to above-mentioned explanation, contains the arrangement of all possible change and tool equality to cause it.
Claims (6)
1. image processing apparatus, in order to promote the definition of input picture, this input picture is made up of a plurality of pixel, and these pixels are divided into marginal portion and background parts, and this image processing apparatus comprises:
The unlatching processing is handled and closed in the compound operation unit in order to this input picture is carried out open and close, to produce the noise removing image;
Sharp keenization processing unit in order to this input picture is carried out sharp keenization processing, is strengthened image to produce; And
Edge detection unit in order to receiving this noise removing image and this reinforcement image, and judges that each these pixel in this input picture belong to this marginal portion or this background parts;
Wherein, when this pixel belongs to this marginal portion, this edge detection unit can select to export the GTG value of this pixel in this reinforcement image, and when this pixel belonged to this background parts, this edge detection unit can select to export the GTG value of this pixel in this noise removing image.
2. image processing apparatus according to claim 1, wherein this compound operation unit comprises erosion operator and dilation operation, this erosion operator is in order to corrode processing to this input picture, corrode image to produce, and this dilation operation is in order to carry out expansion process to this input picture, to produce the expansion plans picture.
3. image processing apparatus according to claim 2, wherein this edge detection unit comprises:
Subtracter is in order to should corrode image and should the expansion image subtraction, to produce intermediate image;
The smoothing processing module is in order to carry out smoothing processing to this intermediate image, to produce smoothed image; And
Detector, in order to the GTG value of each these pixel in this smoothed image is compared with default threshold value, when the GTG value of this pixel during greater than this default threshold value, this detector judges that this pixel belongs to this marginal portion, when the GTG value of this pixel was less than or equal to this default threshold value, this detector judged that this pixel belongs to this background parts.
4. image processing method, in order to promote the definition of input picture, this input picture is made up of a plurality of pixel, and these pixels are divided into marginal portion and background parts, and this method comprises the following step and comprises:
(a) this input picture is carried out open and close and handle and close the unlatching processing, to produce the noise removing image;
(b) this input picture is carried out sharp keenization processing, strengthen image to produce;
(c) receive this noise removing image and this reinforcement image, and judge that each these pixel in this input picture belong to this marginal portion or this background parts,, then carry out step (d) if this pixel belongs to this marginal portion, if this pixel belongs to this background parts, then carry out step (e);
(d) export the GTG value of this pixel in this reinforcement image; And
(e) export the GTG value of this pixel in this noise removing image.
5. method according to claim 4, wherein step (a) also comprises the following step:
(a1) this input picture is corroded processing, corrode image to produce; And
(a2) this input picture is carried out expansion process, to produce the expansion plans picture.
6. method according to claim 5, wherein step (c) also comprises the following step:
(c1) should corrode image and should the expansion image subtraction, to produce intermediate image;
(c2) this intermediate image is carried out smoothing processing, to produce smoothed image;
(c3) the GTG value of each these pixel in this smoothed image is compared with default threshold value, if the GTG value of this pixel is greater than this default threshold value, then carry out step (c4),, then carry out step (c5) if the GTG value of this pixel is less than or equal to this default threshold value;
(c4) judge that this pixel belongs to this marginal portion; And
(c5) judge that this pixel belongs to this background parts.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102483882A (en) * | 2009-09-14 | 2012-05-30 | 罗伯特·博世有限公司 | Method and device for representing obstacles in a parking assistance system of motor vehicles |
| CN106651807A (en) * | 2016-12-29 | 2017-05-10 | 上海天马有机发光显示技术有限公司 | Image processing system, display equipment, and image processing method |
| CN110796614A (en) * | 2019-10-18 | 2020-02-14 | 腾讯科技（深圳）有限公司 | Image processing method, image processing apparatus, and computer-readable storage medium |
| CN114974137A (en) * | 2021-02-26 | 2022-08-30 | 川奇光电科技（扬州）有限公司 | Display device and image processing method |
-
2006
- 2006-05-17 CN CN 200610081850 patent/CN101076078A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102483882A (en) * | 2009-09-14 | 2012-05-30 | 罗伯特·博世有限公司 | Method and device for representing obstacles in a parking assistance system of motor vehicles |
| CN106651807A (en) * | 2016-12-29 | 2017-05-10 | 上海天马有机发光显示技术有限公司 | Image processing system, display equipment, and image processing method |
| CN106651807B (en) * | 2016-12-29 | 2020-03-10 | 上海天马有机发光显示技术有限公司 | Image processing system, display device and image processing method |
| CN110796614A (en) * | 2019-10-18 | 2020-02-14 | 腾讯科技（深圳）有限公司 | Image processing method, image processing apparatus, and computer-readable storage medium |
| CN114974137A (en) * | 2021-02-26 | 2022-08-30 | 川奇光电科技（扬州）有限公司 | Display device and image processing method |
| US11978412B2 (en) | 2021-02-26 | 2024-05-07 | E Ink Holdings Inc. | Display device and image processing method |
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