CN103165100B - Weight type image enhancing method and system - Google Patents
Weight type image enhancing method and system Download PDFInfo
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- CN103165100B CN103165100B CN201310045819.5A CN201310045819A CN103165100B CN 103165100 B CN103165100 B CN 103165100B CN 201310045819 A CN201310045819 A CN 201310045819A CN 103165100 B CN103165100 B CN 103165100B
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Abstract
The invention discloses a weight type image enhancing method. The method comprises the following steps: an original image is received, wherein the original image comprises a plurality of raw pixels. The original image is sharpened so that a sharpened image is generated, wherein the sharpened image comprises a plurality of sharpened pixels. Edge detection is conducted to the original image so that whether each raw pixel is an estimation edge probability value of an edge or not is judged. An enhancing mode is received. A weighted-table corresponding to the enhancing mode is inquired according to the estimation edge probability value of each raw pixel, and an enhancing weight value corresponding to each raw pixel is obtained. Weight calculation is conducted to each raw pixel and a corresponding sharpened pixel according to the enhanced weight value corresponding to each raw pixel, and therefore an enhanced image is obtained. The enhanced image is displayed by a display component.
Description
Technical field
The invention relates to a kind of Weighting type image reinforcement method and system.
Background technology
Along with the arriving of digital Age, the indispensable medium that electronic installation has become modern's obtaining information, knowledge or linked up with other people.Therefore, the various technology of information of more and more different field, converts digital archives to.
According to the difference of setting, the picture after digitlization all has the resolution of its correspondence.The picture that usual resolution is higher, its archives size is larger.Therefore, mostly only picture can be set in the resolution being applicable to generally viewing and admiring.But picture can amplify by current a lot of software to be viewed and admired, and often causes the picture blur of lack of resolution or edge to produce the situation of sawtooth.
Therefore, how under the prerequisite of resolution not improving picture, reduce the situation that picture blur or edge produce sawtooth, belong to one of current important research and development problem in fact, also become the target that current association area needs improvement badly.
Summary of the invention
Therefore, an aspect of the present invention is providing a kind of Weighting type image reinforcement method.In Weighting type image reinforcement method, original pixels is carried out weight computing with pixel after corresponding sharpening with the weight that its marginal probability is corresponding, and produce the rear image of strengthening.Weighting type image reinforcement method comprises following steps:
A () receives a raw video.Wherein, raw video comprises several original pixels.
(b) by raw video sharpening, to produce image after a sharpening.Wherein, after sharpening, image comprises pixel after several sharpening.
C () carries out edge detection to raw video, whether to produce each original pixels for estimating marginal probability value in one of edge.
D () receives a strengthening cooling.
E (), according to the estimation marginal probability value of each original pixels, the corresponding weight table that inquiry strengthening cooling is corresponding, with obtain each original pixels one corresponding strengthening weighted value.
F pixel after sharpening corresponding with it for each original pixels, according to the correspondence of each original pixels strengthening weighted value, is carried out weight computing by (), to produce image after a strengthening.
G () is by image after a display module display strengthening.
Another aspect of the present invention is providing a kind of Weighting type image enhancement system.Weighting type image enhancement system comprises a data transmission interface, a display module and a processing components.Processing components is electrically connected data transmission interface and display module.Processing components comprises an image receiver module, an Edge contrast module, a weight enquiry module, a weight computing module and a display module driver module.Image receiver module, through data transmission interface, receives a raw video.Wherein, raw video comprises several original pixels.Edge contrast module by raw video sharpening, to produce image after a sharpening.Wherein, after sharpening, image comprises pixel after several sharpening.Weight enquiry module carries out edge detection to raw video, whether to produce each original pixels for estimating marginal probability value in one of edge, and according to the estimation marginal probability value of each original pixels, inquire about the corresponding weight table that a strengthening cooling is corresponding, with obtain each original pixels one corresponding strengthening weighted value.Pixel after sharpening corresponding with it for each original pixels, according to the correspondence of each original pixels strengthening weighted value, is carried out weight computing by weight computing module, to produce image after a strengthening.Display module driver module drives the rear image of display module display strengthening.
Accompanying drawing explanation
For above and other objects of the present invention, feature, advantage and embodiment can be become apparent, being described as follows of institute's accompanying drawings:
Fig. 1 is the flow chart of a kind of Weighting type image reinforcement method according to one embodiment of the invention.
Fig. 2 is an embodiment of edge strengthening weight table of the present invention.
Fig. 3 is an embodiment of details of the present invention strengthening weight table.
Fig. 4 illustrates the functional block diagram of a kind of Weighting type image enhancement system according to one embodiment of the invention.
[primary clustering symbol description]
100: Weighting type image reinforcement method
110-170: step
200: edge strengthening weight table
300: details strengthening weight table
400: Weighting type image enhancement system
410: data transmission interface
420: display module
430: processing components
431: image receiver module
432: Edge contrast module
433: weight enquiry module
434: weight computing module
435: display module driver module
440: storage assembly
Embodiment
Below will with graphic and describe spirit of the present invention in detail, have in any art and usually know that the knowledgeable is after understanding preferred embodiment of the present invention, when being changed by the technology of teachings of the present invention and being modified, it does not depart from spirit of the present invention and scope.
Please refer to Fig. 1, it is the flow chart of a kind of Weighting type image reinforcement method according to one embodiment of the invention.In Weighting type image reinforcement method, original pixels is carried out weight computing with pixel after corresponding sharpening with the weight that its marginal probability is corresponding, and produce the rear image of strengthening.Weighting type image reinforcement method can carry out implementation via computer program.Computer program can be stored in a computer-readable medium storing, and performs this Weighting type image reinforcement method after making computer read this recording medium.Computer-readable medium storing can be read-only memory, flash memory, floppy disk, hard disk, CD, Portable disk, tape, by the database of network access or can be familiar with the computer-readable medium storing that this those skilled in the art can think and have identical function easily.
Weighting type image reinforcement method 100 comprises following steps:
In step 110, a raw video is received.Wherein, raw video comprises several original pixels.
In the step 120, by raw video sharpening, to produce image after a sharpening.Wherein, after sharpening, image comprises pixel after several sharpening.
In step 130, edge detection is carried out to raw video, whether to produce each original pixels for estimating marginal probability value in one of edge.In some embodiments of the invention, the mode of estimation marginal probability value alternative edge grey decision-making (0 to 255) of each original pixels represents.For example, can be the higher person of probability at edge in the pixel of correspondence, estimate and higher estimation marginal probability value; Can be the lower person of probability at edge in the pixel of correspondence, estimate and lower estimation marginal probability value.In other embodiments of the invention, the estimation marginal probability value of each original pixels can otherwise represent, is not limited to this exposure book.
In step 140, a strengthening cooling is received.Wherein, strengthening cooling according to the demand of user, and can be set to edge strengthening pattern or details strengthening cooling.
In step 150, according to the estimation marginal probability value of each original pixels, the corresponding weight table that inquiry strengthening cooling is corresponding, with obtain each original pixels one corresponding strengthening weighted value.
In a step 160, according to the correspondence of each original pixels strengthening weighted value, pixel after sharpening corresponding with it for each original pixels is carried out weight computing, to produce image after a strengthening.
In step 170, by image after a display module display strengthening.Thus, can by the different characteristic of image after the sharpening of raw video and its correspondence, the quality of the image of strengthening shown by display module, is not limited to the resolution of raw video.
For example, when strengthening cooling is an edge strengthening cooling, the respective weights table that the strengthening cooling inquired about when step 150 performs is corresponding is an edge strengthening weight table.When strengthening cooling is a details strengthening cooling, the respective weights table that the strengthening cooling inquired about when step 150 performs is corresponding is a details strengthening weight table.Wherein, edge strengthening weight table is different from details strengthening weight table, in order to use respectively at when accentuated edges and details.
With reference to Fig. 2, it is an embodiment of edge strengthening weight table of the present invention.In the present embodiment, edge strengthening weight table 200 comprises the default weighted value of several candidate edge probit value " 0 to 255 " and each candidate edge probit value " 0 to 255 " correspondence.So, for example, there is the estimation marginal probability value of a wherein original pixels for " 0 " and when edge strengthening pattern, the default weighted value that in edge strengthening weight table 200, candidate edge probit value " 0 " is corresponding can be inquired about, as the correspondence strengthening weighted value of this original pixels.In addition, be greater than the candidate edge probit value " 100 to 255 " of an edge strengthening threshold values " 100 ", the default weighted value of its correspondence is set to an edge strengthening weight higher limit " 1 ".Thus, can, by the weighted value heightening image after sharpening, make its edge effect comparatively obvious.Be less than the candidate edge probit value " 0 to 100 " of edge strengthening threshold values " 100 ", the default weighted value of its correspondence with candidate edge probit value less of correspondence, and is set to less value.So, in some embodiments of step 160, according to the correspondence of each original pixels strengthening weighted value, pixel after sharpening corresponding with it for each original pixels is carried out weight computing, can be with the formula of image after producing a strengthening:
imE(p)=α×imS(p)+(1-α)×imO(p)
Wherein, imE is the pixel value of the pixel p after (edge) strengthening on image, and α is that original pixels p(is when carrying out edge strengthening) correspondence strengthening weighted value, imS is the pixel value of the pixel p after sharpening on image, and imO is the pixel value of the pixel p on raw video.But in other embodiments, edge strengthening weight table can adjust according to actual demand, also can adopt the formula of the weight calculation of other type, be not limited to this exposure.
With reference to Fig. 3, it is an embodiment of details of the present invention strengthening weight table.In the present embodiment, details strengthening weight table 300 comprises a default weighted value of several candidate edge probit value " 0 to 255 " and candidate edge probit value " 0 to 255 " correspondence.So, for example, there is the estimation marginal probability value of a wherein original pixels for " 0 " and when details strengthening cooling, the default weighted value that in details strengthening weight table 300, candidate edge probit value " 0 " is corresponding can be inquired about, as the correspondence strengthening weighted value of this original pixels.In addition, be greater than the candidate edge probit value " 140 to 255 " of details strengthening upper limit threshold values " 140 ", the default weighted value of its correspondence is set to details strengthening weight lower limit " 0 " with the default weighted value of correspondence.Thus, can by the weighted value turning down image after its sharpening, after making strengthening, image top edge part retains the details on more raw video.Between the candidate edge probit value " 50 to 140 " of details strengthening upper limit threshold values " 140 " and details strengthening lower limit threshold values " 50 ", the default weighted value of its correspondence with candidate edge probit value larger of correspondence, and is set to less value.Be less than the candidate edge probit value " 0 to 50 " of details strengthening valve lower limit " 50 ", the default weighted value of its correspondence is set to details strengthening weight higher limit " 1 ".Thus, can by the weighted value heightening image after its sharpening, to make after strengthening on image non-edge part by image enhancement details after sharpening.So, in some embodiments of step 160, according to the correspondence of each original pixels strengthening weighted value, pixel after sharpening corresponding with it for each original pixels is carried out weight computing, can be with the formula of image after producing a strengthening:
imD(p)=β×imS(p)+(1-β)×imO(p)
Wherein, imD is the pixel value of the pixel p after (details) strengthening on image, and β is that original pixels p(is when carrying out details strengthening) correspondence strengthening weighted value, imS is the pixel value of the pixel p after sharpening on image, and imO is the pixel value of the pixel p on raw video.But in other embodiments, details strengthening weight table can adjust according to actual demand, also can adopt the formula of the weight calculation of other type, be not limited to this exposure.
In addition, candidate edge probit value junior, after its sharpening, image has higher noise.Therefore, can strengthen in weight table in details, will strengthen the candidate edge probit value " 7 to 50 " of lower limit threshold values " 50 " and a noise threshold " 7 " further between details, the default weighted value of its correspondence is set to details strengthening weight higher limit " 1 ".To be less than the candidate edge probit value 0 to 7 of noise threshold " 7 ", the default weighted value of its correspondence with candidate edge probit value less of correspondence, and is set to less value.Thus, the noise jamming of image after sharpening can be avoided being subject to.
Please refer to Fig. 4, it illustrates the functional block diagram of a kind of Weighting type image enhancement system according to one embodiment of the invention.Weighting type image enhancement system 400 comprises data transmission interface 410, display module 420 and a processing components 430.Processing components 430 is electrically connected data transmission interface 410 and display module 420.
Data transmission interface 410 can be the wired or wireless data transmission interface of network card or other type.
Processing components 430 comprises image receiver module 431, Edge contrast module 432, weight enquiry module 433, weight computing module 434 and a display module driver module 435.Image receiver module 431, through data transmission interface 410, receives a raw video.Wherein, raw video comprises several original pixels.
Edge contrast module 432 by raw video sharpening, to produce image after a sharpening.Wherein, after sharpening, image comprises pixel after several sharpening.
Weight enquiry module 433, according to the estimation marginal probability value of each original pixels, inquires about the corresponding weight table that a strengthening cooling is corresponding, with obtain each original pixels one corresponding strengthening weighted value.Wherein, strengthening cooling can pass through a User's Interface (as keyboard, mouse, graphical user interface) of Weighting type image enhancement system 400 receive.
Weight computing module 434 pairs of raw videos carry out edge detection, whether to produce each original pixels for estimating marginal probability value in one of edge, and strengthen weighted value according to the correspondence of each original pixels, pixel after sharpening corresponding with it for each original pixels is carried out weight computing, to produce image after a strengthening.
So display module driver module 435 drives display module 420 to show the rear image of strengthening.Thus, can by the different characteristic of image after the sharpening of raw video and its correspondence, the quality of the image of strengthening shown by display module 420, is not limited to the resolution of raw video.
In one embodiment of this invention, Weighting type image enhancement system 400 more can comprise a storage assembly 440.Storage assembly 440 can store a mutually different edge strengthening weight table and details strengthening weight table.When strengthening cooling is an edge strengthening cooling, the edge strengthening weight table of respective weights table stored by storage assembly 440 that strengthening cooling is corresponding, inquires about for weight enquiry module 433.When strengthening cooling is a details strengthening cooling, the details strengthening weight table of respective weights table stored by storage assembly 440 that strengthening cooling is corresponding, inquires about for weight enquiry module 433.In other embodiments of the invention, storage assembly 440 can store the weight table of other dissimilar strengthening, is not limited to the disclosure.
Although the present invention is with execution mode openly as above, so itself and be not used to limit the present invention, anyly have the knack of this those skilled in the art, without departing from the spirit and scope of the present invention, when being used for a variety of modifications and variations.Therefore, protection scope of the present invention is when being as the criterion depending on the aforesaid claim person of defining.
Claims (7)
1. a Weighting type image reinforcement method, is characterized in that, comprises:
A () receives a raw video, wherein this raw video comprises a plurality of original pixels;
B (), by this raw video sharpening, to produce image after a sharpening, wherein after this sharpening, image comprises pixel after a plurality of sharpening;
C () carries out edge detection to this raw video, whether to produce each those original pixels for estimating marginal probability value in one of edge;
D () receives a strengthening cooling;
E (), according to this estimation marginal probability value of each those original pixels, inquires about the corresponding weight table that this strengthening cooling is corresponding, with obtain each those original pixels one corresponding strengthening weighted value;
F pixel after this corresponding with it for each those original pixels sharpening, according to this correspondence of each those original pixels strengthening weighted value, is carried out weight computing by (), to produce image after a strengthening; And
G () shows image after this strengthening by a display module.
2. Weighting type image reinforcement method as claimed in claim 1, it is characterized in that, step (e) comprises:
When this strengthening cooling is an edge strengthening cooling, this respective weights table that this strengthening cooling is corresponding is an edge strengthening weight table; And
When this strengthening cooling is a details strengthening cooling, this respective weights table that this strengthening cooling is corresponding is a details strengthening weight table, and wherein this edge strengthening weight table is different from this details strengthening weight table.
3. Weighting type image reinforcement method as claimed in claim 2, is characterized in that,
This edge strengthening weight table comprise a plurality of candidate edge probit value and each those candidate edge probit value corresponding one preset weighted value, wherein those estimation marginal probability values of those original pixels are one of them of those candidate edge probit values;
Be greater than an edge strengthening threshold values person in those candidate edge probit values, those default weighted values of its correspondence are set to an edge strengthening weight higher limit; And
Be less than this edge strengthening threshold values person in those candidate edge probit values, those default weighted values of its correspondence are less with the candidate edge probit value of correspondence, and are set to less value.
4. Weighting type image reinforcement method as claimed in claim 2, is characterized in that,
This details strengthening weight table comprise a plurality of candidate edge probit value and each those candidate edge probit value corresponding one preset weighted value;
Be greater than a details strengthening upper limit threshold values person in those candidate edge probit values, those default weighted values of its correspondence are set to a details strengthening weight lower limit;
Between this details strengthening upper limit threshold values and details strengthening lower limit threshold values person in those candidate edge probit values, those default weighted values of its correspondence are larger with the candidate edge probit value of correspondence, and are set to less value; And
Be less than this details strengthening valve lower limit person in those candidate edge probit values, those default weighted values of its correspondence are set to a details strengthening weight higher limit.
5. Weighting type image reinforcement method as claimed in claim 4, is characterized in that,
Between this details strengthening lower limit threshold values and a noise threshold person in those candidate edge probit values, those default weighted values of its correspondence are set to this details strengthening weight higher limit, and wherein this details strengthening lower limit threshold values is greater than this noise threshold; And
Be less than this noise threshold person in those candidate edge probit values, those default weighted values of its correspondence are less with the candidate edge probit value of correspondence, and are set to less value.
6. a Weighting type image enhancement system, is characterized in that, comprises:
One data transmission interface;
One display module; And
One processing components, be electrically connected this data transmission interface and this display module, wherein this processing components comprises:
One image receiver module, through this data transmission interface, receive a raw video, wherein this raw video comprises a plurality of original pixels;
One Edge contrast module, by this raw video sharpening, to produce image after a sharpening, wherein after this sharpening, image comprises pixel after a plurality of sharpening;
One weight enquiry module, edge detection is carried out to this raw video, whether to produce each those original pixels for estimating marginal probability value in one of edge, and according to this estimation marginal probability value of each those original pixels, inquire about the corresponding weight table that a strengthening cooling is corresponding, with obtain each those original pixels one corresponding strengthening weighted value;
One weight computing module, according to this correspondence of each those original pixels strengthening weighted value, carries out weight computing by pixel after this corresponding with it for each those original pixels sharpening, to produce image after a strengthening; And
One display module driver module, drives this display module to show image after this strengthening.
7. Weighting type image enhancement system as claimed in claim 6, is characterized in that, also comprise:
One storage assembly, store an edge strengthening weight table and details strengthening weight table, wherein this edge strengthening weight table is different from this details strengthening weight table,
Wherein when this strengthening cooling is an edge strengthening cooling, this respective weights table that this strengthening cooling is corresponding is this edge strengthening weight table, for the inquiry of this weight enquiry module; And
Wherein when this strengthening cooling is a details strengthening cooling, this respective weights table that this strengthening cooling is corresponding is this details strengthening weight table, for the inquiry of this weight enquiry module.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1921557A (en) * | 2005-08-26 | 2007-02-28 | 株式会社日立制作所 | Image signal processor and image signal processing method |
| CN101316320A (en) * | 2007-05-28 | 2008-12-03 | 联詠科技股份有限公司 | Image processing process for image processing system and correlated image processing apparatus |
| CN102281387A (en) * | 2010-06-09 | 2011-12-14 | 联咏科技股份有限公司 | Image instantaneous improvement device |
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| US7274828B2 (en) * | 2003-09-11 | 2007-09-25 | Samsung Electronics Co., Ltd. | Method and apparatus for detecting and processing noisy edges in image detail enhancement |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1921557A (en) * | 2005-08-26 | 2007-02-28 | 株式会社日立制作所 | Image signal processor and image signal processing method |
| CN101316320A (en) * | 2007-05-28 | 2008-12-03 | 联詠科技股份有限公司 | Image processing process for image processing system and correlated image processing apparatus |
| CN102281387A (en) * | 2010-06-09 | 2011-12-14 | 联咏科技股份有限公司 | Image instantaneous improvement device |
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