CN105744119A - Video playing device and image sticking elimination method thereof - Google Patents

Video playing device and image sticking elimination method thereof Download PDF

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Publication number
CN105744119A
CN105744119A CN201410742880.XA CN201410742880A CN105744119A CN 105744119 A CN105744119 A CN 105744119A CN 201410742880 A CN201410742880 A CN 201410742880A CN 105744119 A CN105744119 A CN 105744119A
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pixel
pixel value
value
ith
individual
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CN105744119B (en
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方建翔
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Ali Corp
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Ali Corp
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Abstract

Provided is an image sticking elimination method, comprising the steps of: receiving a video signal through a signal receiving port; obtaining N pixels on a horizontal scanning line according to the video signal; along a horizontal scanning direction, successively comparing an ith pixel with an (i+1)th pixel which are horizontally adjacent in the pixels so as to determine whether the first pixel difference between the ith pixel and the (i+1)th pixel is greater than a preset adjusting weight value, wherein i is an integer no less than 0 and less than N; if the first pixel difference is greater than a preset adjusting weight value, performing calculating treatment on the pixel value of the ith pixel and the pixel value of the (i+1)th pixel to obtain a first replacement pixel value, and replacing the pixel value of the ith pixel or the pixel value of the (i+1)th pixel with the first replacement pixel value; and displaying an image according to the pixels on the horizontal scanning line.

Description

Video play device and ghost eliminating method thereof
Technical field
The invention relates to a kind of image treatment method, and in particular to a kind of video play device and ghost eliminating method thereof.
Background technology
The invention of TV can readily penetrate through TV to obtain every information with the flourish modern of making of mass media, and also just because of this, viewing TV programme have become one of main amusement and recreation of modern.In general, the video play device such as TV possesses signal receiving end receiving video data, to receive video data from video signal supplier.With the transmission standard of analogy, above-mentioned signal receiving end is such as Composite Video Broadcast Signal (CVBS) receiving terminal, colour difference signal (S-Video) receiving terminal etc..
But, when transmitting video data, anaiog signal generally requires the frequency range bigger than digital signal.Specifically, in the television channel of the 6MHZ frequency range of conventional wireless television station employing, analogy system can only transmit traditional analog television program of a standard resolution (standarddefinitionTV, SDTV).Furthermore, if the video signal of analogy has high-frequency components because of the high sharpness edge of picture appearance, the transmission frequency range that the above-mentioned signal belonging to analogy specification transmits terminal is likely to not enough and causes display distortion.On the other hand, if analogy video signal has high-frequency components, it is also possible to cause that because the sampling frequency in order to sample analogy video signal is not high enough ghost or other related defects occurs in display picture.
Summary of the invention
In view of this, the present invention provides a kind of video play device and ghost eliminating method thereof, can be effectively improved video signal and include high-frequency components but the not enough ghost phenomena caused of frequency range of anaiog signal transmission terminal, thus promoting image playback quality further.
The present invention proposes a kind of ghost eliminating method, and this ghost eliminating method is suitable to a video play device and comprises the following steps.First, video signal is received through receiver port.The N number of pixel on a horizontal scanning line is obtained according to this video signal.Afterwards, the 1st pixel on horizontal scanning line is lighted, level is adjacent along a horizontal scan direction these pixels of sequentially comparison ith pixel point and (i+1) individual pixel, to judge that whether the first pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is more than default adjustment weighted value.N is a default positive integer, and i is the integer be more than or equal to 0 and less than N.If the first pixel value difference is more than default adjustment weighted value, the pixel value of ith pixel point and the pixel of (i+1) individual pixel are carried out calculation process and obtain the first replacement pixel value, and the pixel value of ith pixel point or the pixel value of (i+1) individual pixel are replaced with the first replacement pixel value.Finally, a picture is shown according to the pixel on horizontal scanning line.
From another viewpoint, the present invention proposes a kind of video play device, and it includes a receiver port, pixel sampling unit, edge judgment unit, pixel substituting unit and pixel display unit.Receiver port receives video signal.Pixel sampling unit couples receiver port, obtains the N number of pixel on horizontal scanning line according to video signal.Edge judgment unit couples pixel sampling unit, the 1st pixel on horizontal scanning line is lighted, level is adjacent along a horizontal scan direction these pixels of sequentially comparison ith pixel point and (i+1) individual pixel, to judge that whether the first pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is more than default adjustment weighted value.N is a default positive integer, and i is the integer be more than or equal to 0 and less than N.Pixel substituting unit couples edge judgment unit.If the first pixel value difference is more than default adjustment weighted value, the pixel value of ith pixel point and the pixel of (i+1) individual pixel are carried out calculation process and obtain the first replacement pixel value, and the pixel value of ith pixel point or the pixel value of (i+1) individual pixel are replaced with the first replacement pixel value.Pixel display unit couples pixel substituting unit, and shows a picture according to these pixels on horizontal scanning line.
Based on above-mentioned, the present invention by the margin of image element between mutually adjacent two pixel on sequentially comparison horizontal scanning line whether more than a weight adjusted value, to judge the pixel being likely to occur ghost.Furthermore, through obtaining a pixel substitution value in the scope between two original pixel values, the present invention more carries out further replacing and adjusting for the pixel being likely to occur ghost.Thereby, when the frequency range of signal receiving end of analogy is not enough to frequency range or the sampling frequency deficiency supporting video signal, the present invention can be effectively improved picture and the phenomenon of ghost occurs, to promote the quality of image output.
For the features described above of the present invention and advantage can be become apparent, special embodiment below, and coordinate institute's accompanying drawings to be described in detail below.
Accompanying drawing explanation
Fig. 1 is based on the block schematic diagram of the video play device of one embodiment of the invention depicted.
Fig. 2 is based on the flow chart of the ghost eliminating method of one embodiment of the invention depicted.
Fig. 3 is based on the example schematic of a striograph frame of one embodiment of the invention depicted.
Fig. 4 A and Fig. 4 B is based on the detail flowchart of the ghost eliminating method of one embodiment of the invention depicted.
Description of reference numerals
10: video play device
110: receiver port
120: pixel sampling unit
130: remove ghost processing unit
131: edge judgment unit
132: pixel substituting unit
140: pixel display unit
F1: figure frame
L1, L2, LM: horizontal scanning line
P1,1、P1,2、P1,3、P1,N、P2,1、P2,2、P2,N、PM,1、PM,N: pixel
S201~S205: each step of the ghost eliminating method described in one embodiment of the invention
S401~S414: each step of the ghost eliminating method described in one embodiment of the invention
Detailed description of the invention
In the exemplary embodiment of the present invention, owing to the frequency range of anaiog signal transmission terminal is limited, by cause video play device cannot correctly the high-frequency components of sampling video signal and demonstrate the picture with ghost.The video play device of the present invention and go ghost side's mainly location of pixels through detecting picture frame (Frame) inner clear-cut margin to judge it may happen that the location of pixels of ghost, good to it may happen that the location of pixels of ghost carries out the adjustment of pixel value, to eliminate the ghost in image.In order to make present disclosure become apparent from, it is exemplified below the example that embodiment can actually be implemented according to this as the present invention.
It should be noted that the dynamic image load mode of television broadcasting system, it is made up of a series of tableaux.Tableaux has another name called picture frame, and it is made up of up to a hundred horizontal scanning lines.Wherein, for alternating expression (Interlaced) scan mode, these horizontal scanning lines are divided into again odd lines and even lines.All odd lines composition odd field (OddField), all even lines then form even field (EvenField).
Fig. 1 is based on the block schematic diagram of the video play device of one embodiment of the invention depicted.Refer to Fig. 1, video play device 10 can be possess the traditional tv of display device or intelligent TV.Additionally, video play device 10 can also be do not possess the top box of digital machine (SetTopBox, STB) of display device, television rod, TV card, holder for TV playing or DVD player etc. to have the electronic installation of video signal handling ability.The present invention is not limiting as the type of video play device 10.
In embodiments of the invention, video play device 10 includes receiver port 110, pixel sampling unit 120, goes ghost processing unit 130 and pixel display unit 140.Video play device 10 receives, through receiver port 110, the video signal Sv that video vendor provides.Video signal Sv can be composite video (CVBS) signal, S-video (S-Video) signal or other kinds of analogy video signal, and this is not intended to by the present invention.Relative, receiver port 110 is such as signal receiving end of the analogy specification such as composite video signal (CVBS) receiving terminal, colour difference signal (S-Video) receiving terminal, and this is not intended to by the present invention.
Pixel sampling unit 120 couples receiver port 110, to receive the video signal Sv of analogy, and video signal Sv is sampled and obtains the sampled signal Ss that includes multiple pixel.For the scan mode of alternating expression, above-mentioned sampled signal Ss can the corresponding odd field to a figure frame or even field.Specifically, all pixels that video signal Sv can be sampled according to clock signal CLK and obtain on each horizontal scanning line by pixel sampling unit 120, and these pixels may make up a width figure frame.For example, pixel sampling unit 120 can be an ADC in order to sampling video signal Sv.In an embodiment, pixel sampling unit 120 may also include buffer (not illustrating), with each pixel number evidence in temporary sampled signal Ss.
In embodiments of the invention, go ghost processing unit 130 to couple pixel sampling unit 120 to receive sampled signal Ss, and the pixel value of the pixel in sampled signal Ss is further gone ghost to process and adjusts.Furthermore, it is understood that go ghost processing unit 130 to include edge judgment unit 131 and pixel substituting unit 132.Edge judgment unit 131 can detect according to the pixel included by sampled signal Ss probably due to clear-cut margin and there is the pixel position of ghost.
It is noted that in one embodiment of the invention, edge judgment unit 131 can detect according to the default adjustment weighted value preset or user sets probably due to clear-cut margin and there is the pixel position of ghost.In an exemplary embodiment, video play device 10 can receive the remote control of user and change default adjustment weighted value size so that the display picture going ghost thick may conform to the demands of individuals of user.Pixel substituting unit 132 it may happen that the pixel position calculation of ghost goes out to replace pixel value for above-mentioned, and utilize and replaces pixel value by it may happen that the pixel value of pixel of ghost replaces.
Go ghost processing unit 130 can be obtained by software, hardware or its combination implementation, be not any limitation as at this.Software is such as source code, application software or drives formula etc..Hardware is such as special IC (ApplicationSpecificIntegratedCircuits, ASIC), programmable logic device (ProgrammableLogicDevice, PLD), CPU (CentralProcessingUnit, or the microprocessor (Microprocessor) of other programmable general services or specific use CPU),.
Pixel display unit 140 couples ghost processing unit 130.Go the sampled signal Ss ' after ghost processing unit 130 output processing to pixel display unit 140, allow pixel display unit 140 show a picture according to the sampled signal Ss ' after processing.Specifically, it is assumed that video play device 10 has display device, pixel display unit 140 can include the circuit driving display device, causes display device to can pass through the driving of pixel display unit 140 and show corresponding picture.Or, it is assumed that video play device 10 does not have display device, and pixel display unit 140 can produce corresponding play signal according to sampled signal Ss ', and above-mentioned play signal is sent to display device shows the picture of correspondence.
In order to describe the present invention in detail, Fig. 2 is based on the flow chart of the ghost eliminating method of one embodiment of the invention depicted.Referring to Fig. 1 and Fig. 2, the method for the present embodiment is applicable to above-mentioned video play device 10, the detailed step of the ghost eliminating method of the every component description the present embodiment namely arranged in pairs or groups in video play device 10 below.
First, in step S201, receiver port 110 receives video signal Sv, and video signal Sv is sent to pixel sampling unit 120.Receiver port 110 is signal receiving end of analogy, seems CVBS terminal, S terminal, VGA terminal or other composite signal receiving terminal etc..Video play device 10 can pass through the receiver port 110 of analogy specification and receives video signal Sv from video vendor.
In step S202, pixel sampling unit 120 obtains the N number of pixel on horizontal scanning line according to video signal Sv.In simple terms, video signal Sv can be sampled by pixel sampling unit 120 according to a sampling frequency, thus the N number of pixel obtained on each horizontal scanning line.The sum of the pixel on horizontal scanning line can be considered the horizontal resolution of figure frame.In this exemplary embodiment, a horizontal scanning line including N number of pixel, wherein N is a default positive integer.If for the video format of video signal Sv for 480i, the horizontal resolution N of single figure frame can be 640 (number of pixels).If for the video format of video signal Sv for 576i, the horizontal resolution N of single figure frame can be 720 (number of pixels), and this is not intended to by the present invention.
In step S203, edge judgment unit 131, the 1st pixel on horizontal scanning line is lighted, level is adjacent along horizontal scan direction sequentially comparison pixels point ith pixel point and (i+1) individual pixel, to judge that whether the first pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is more than default adjustment weighted value.It is appreciated that i is the integer be more than or equal to 0 and less than N.In one embodiment of the invention, edge judgment unit 131 can pixel that from left to right sequentially comparison is adjacent between two.If the first pixel value difference between mutually adjacent pixel more than default adjustment weighted value, can be regarded as the clear-cut margin part in picture and be judged to it may happen that the position of ghost.
In step S204, if the first pixel value difference is more than default adjustment weighted value, the pixel value of ith pixel point and the pixel of (i+1) individual pixel are carried out calculation process and obtain the first replacement pixel value by pixel substituting unit 132, and the pixel value of ith pixel point or the pixel value of (i+1) individual pixel are replaced with the first replacement pixel value.It is to say, pixel substituting unit 132 can produce to replace pixel value according to the pixel value of the pixel value of ith pixel point and (i+1) individual pixel.This replaces the size of pixel value gap between the pixel value and the pixel value of (i+1) individual pixel of ith pixel point, between pixel value and (i+1) individual pixel of the ith pixel point after substituting to further.
Need bright be especially, pixel substituting unit 132 be from the pixel value of ith pixel point to the pixel value of (i+1) individual pixel between numerical range in determine the first replacement pixel value, it can pass through seems meansigma methods computing or other calculations acquisition the first replacement pixel value, and this is not intended to by the present invention.For example, except meansigma methods computing, the sum after the pixel value addition of the pixel value of ith pixel point and (i+1) individual pixel also can be obtained the first replacement pixel value divided by a particular factor (such as: three or four) by pixel substituting unit 132.
Afterwards, when each pixel on horizontal scanning line is all one by one after the process of edge judgment unit 131 and pixel substituting unit 132, in step S205, pixel display unit 140 can show a picture according to the pixel on horizontal scanning line.
Fig. 3 is the example schematic of the striograph frame according to one embodiment of the invention depicted.Refer to Fig. 3, figure frame F1 to be made up of M bar horizontal scanning line L1, L2 ..., LM, and each horizontal scanning line L1~LM each includes N number of pixel.Seem that horizontal scanning line L1 includes pixel P1,1、P1,2、P1,3、…、P1,N, and horizontal scanning line L2 includes pixel P2,1、P2,2、…、P2,N.Similar, horizontal scanning line LM includes pixel PM,1、…、PM,N
It is to say, after video signal Sv is sampled by pixel sampling unit 120, the pixel P of composition horizontal scanning line L1 can be obtained1,1~P1,N.In this enforcement example, go the ghost processing unit 130 can from the pixel P of horizontal scanning line L11,1Proceed by the ghost eliminating method of the present invention.Then, the pixel P that edge judgment unit 131 first comparison level is adjacent1,1And pixel P1,2, to judge pixel P1,1Pixel value and pixel P1,2Pixel value between the first pixel value difference whether more than default adjustment weighted value.If pixel P1,1Pixel value and pixel P1,2Pixel value between the first pixel value difference more than default adjustment weighted value, pixel substituting unit 132 is according to pixel P1,1Pixel value and pixel P1,2Pixel value carry out calculation process and obtain the first replacement pixel value, and by pixel P1,1Pixel value or pixel P1,2Pixel value replace with the first replacement pixel value.
In an exemplary embodiment, pixel substituting unit 132 judges pixel P1,1Pixel value or pixel P1,2Pixel value in the pixel value of whichever higher, and will have the pixel P of higher pixel value1,1And pixel P1,2One of them replaces with the first replacement pixel value.Specifically, it is assumed that pixel P1,2Pixel value more than pixel P1,1Pixel value, pixel P1,2Pixel value will be replaced with the first replacement pixel value.Generally speaking, under the premise more than default adjustment weighted value of the first pixel value difference between ith pixel point and (i+1) individual pixel, if the pixel value of ith pixel point is more than the pixel value of (i+1) individual pixel, the pixel value of ith pixel point is replaced with the first replacement pixel value;If the pixel value of (i+1) individual pixel is more than the pixel value of ith pixel point, the pixel value of (i+1) individual pixel is replaced with the first replacement pixel value.
Need otherwise indicate be, the object of replacing replacing pixel value in example above embodiment is the pixel in neighbor pixel with higher pixel value, the picture so obtained is more soft smooth, but in other embodiments, the object of replacing replacing pixel value can also be the pixel in neighbor pixel with relatively low-pixel value, and the picture so obtained will be more bright smooth.Who more excellent difference is two ways there is no, and is only the different choice orientation during picture processes.
On the other hand, if pixel P1,1Pixel value and pixel P1,2Pixel value between the first pixel value difference be not more than preset adjust weighted value, pixel substituting unit 132 retains pixel P1,1Pixel value and pixel P1,2Pixel value.To pixel P1,1And pixel P1,2After carrying out above-mentioned process, the pixel P that edge judgment unit 131 then comparison level is adjacent1,2And pixel P1,3, to judge pixel P1,2Pixel value and pixel P1,3Pixel value between the first pixel value difference whether more than default adjustment weighted value.
Afterwards, pixel substituting unit 132 is according to edge judgment unit 131 comparison pixels point P1,2And pixel P1,3Result decide whether pixel P according to this1,2And pixel P1,3The pixel value of one of them replaces.Specifically, if pixel P1,2Pixel value be replaced, edge judgment unit 131 is the pixel P that comparison processes through replacement1,2And pixel P1,3Decide whether pixel P1,2And pixel P1,3The pixel value of one of them replaces.
The rest may be inferred, goes ghost processing unit 130 will repeat identical step, until each pixel P on horizontal scanning line L11,1~P1,NGhost processing unit 130 is all sequentially gone to process.Similar, going ghost processing unit 130 to each pixel P on horizontal scanning line L11,1~P1,NAfter all carrying out the process of ghost in the past, go ghost processing unit 130 sequentially horizontal scanning line L2~LM can be implemented identical step so that each pixel P on figure frame F11,1~PM,NBoth pass through the similar ghost that goes to process.
Fig. 4 A and Fig. 4 B is based on the detail flowchart of the ghost eliminating method of one embodiment of the invention depicted.Need to first illustrating, the present embodiment is to illustrate for single horizontal scanning line, but those of ordinary skill in the art can according to the explanation of the present embodiment by identical flow process application to the example of a plurality of horizontal scanning line.
Please also refer to Fig. 4 A, in step S401, initialize the location index i in order to represent location of pixels.In step S402, if the pixel value P (i+1) of (i+1) individual pixel is more than pixel value P (i) of ith pixel point, the pixel value P (i+1) of (i+1) individual pixel is deducted pixel value P (i) of ith pixel point, to obtain the first pixel value difference, and utilize normalization coefficient L1 to adjust the first pixel value difference, and judge that whether the first pixel value difference after adjusting is more than default adjustment weighted value W.If step S402 is yes, in step S403, retains pixel value P (i) of ith pixel point and the pixel value P (i+1) of (i+1) individual pixel is replaced with the first replacement pixel value.In the present embodiment, through calculating that pixel value P (i) of ith pixel point and the pixel value P (i+1) of (i+1) individual pixel are averaged, can obtain and replace pixel value in order to the first of replacement pixels value P (i+1).
If step S402 is no, subsequent steps S404.In step S404, if pixel value P (i) of ith pixel point is more than the pixel value P (i+1) of (i+1) individual pixel, pixel value P (i) of ith pixel point is deducted the pixel value P (i+1) of (i+1) individual pixel, to obtain the first pixel value difference, and utilize normalization coefficient L1 to adjust the first pixel value difference, and judge that whether the first pixel value difference after adjusting is more than default adjustment weighted value W.For the pixel form of 8 bits, L1 is such as the maximum 255 of grey decision-making.If step S404 is yes, in step S405, retains the pixel value P (i+1) of (i+1) individual pixel and pixel value P (i) of ith pixel point is replaced with the first replacement pixel value.
If step S404 is no, retain pixel value P (i) of ith pixel point and the pixel value P (i+1) of (i+1) individual pixel.If it is to say, the first pixel value difference between pixel value P (i) and pixel value P (i+1) is not more than to preset after normalization coefficient L1 adjusts adjusts weighted value W, the step of pixel value replacement will do not carried out.Afterwards, in step S407, setting position index i=i+1 also judges that location index is whether more than the horizontal resolution of figure frame, to repeat step S402~step S406 until location index is equal to horizontal resolution (i=N).
It is worth mentioning that, in this exemplary embodiment, except carry out for the 1st pixel to n-th pixel on a horizontal scanning line first stage go ghost to process except, the ghost that goes that the 1st pixel to the n-th pixel that same level is scanned on line by this exemplary embodiment more again carries out second stage processes.Two stage difference is in that, the regular coefficient L1 that the first stage uses is different from the regular coefficient L2 used with second stage.Wherein, the regular coefficient L1 that the regular coefficient L2 that second stage uses used less than the first stage.
That is, in this exemplary embodiment, in second stage go ghost process in, level is adjacent along horizontal scan direction these pixels of sequentially comparison again ith pixel point and (i+1) individual pixel, to judge that whether the second pixel value difference between pixel value P (i) and the pixel value P (i+1) of (i+1) individual pixel of ith pixel point is more than default adjustment weighted value W.If the second pixel value difference is more than default adjustment weighted value, pixel value P (i) of ith pixel point and the pixel P (i+1) of (i+1) individual pixel are carried out calculation process and calculate the second replacement pixel value, and pixel value P (i) of ith pixel point or the pixel value P (i+1) of (i+1) individual pixel are replaced with the second replacement pixel value.
Specifically, refer to Fig. 4 B, in step S408, again initialize the location index i representing location of pixels.In step S409, if the pixel value P (i+1) of (i+1) individual pixel is more than pixel value P (i) of ith pixel point, the pixel value P (i+1) of (i+1) individual pixel is deducted pixel value P (i) of ith pixel point, to obtain the second pixel value difference, and utilize another normalization coefficient L2 to adjust the second pixel value difference, and judge that whether the second pixel value difference after adjusting is more than default adjustment weighted value W.
Additionally, in step S410, if pixel value P (i) of ith pixel point is more than the pixel value P (i+1) of (i+1) individual pixel, pixel value P (i) of ith pixel point is deducted the pixel value P (i+1) of (i+1) individual pixel, to obtain the second pixel value difference, and utilize another normalization coefficient L2 to adjust the second pixel value difference, and judge that whether the second pixel value difference after adjusting is more than default adjustment weighted value W.In this exemplary embodiment, when normalization coefficient L1 be maximum gray be worth 255 time, another normalization coefficient L2 of second stage is such as 255/2, but the present invention is not limited thereto.Additionally, remaining step S410, step S412~step S414 is all similar to the step S403 of first stage, step S405~step S407, repeat no more in this.
Specifically be, although the embodiment of Fig. 4 A and Fig. 4 B depicted is to go ghost to process to illustrate for two stages, but the present invention is not limited thereto.This area possesses usual knowledge and can determine the actual numerical value of the normalization coefficient going ghost process and each stage to be used to the horizontal scanning line execution several stages according to practical application situation.For example, after the flow process shown in Fig. 4 A and Fig. 4 B, can also be for each pixel on same level scanning line and carry out the ghost that goes of phase III and process.When the half that regular coefficient is maximum gray value that the regular coefficient of first stage is maximum gray value and second stage, the regular coefficient of phase III can be 1/4th of maximum gray value, but the present invention is not limited thereto.
In sum, the present invention by the margin of image element between mutually adjacent two pixel on sequentially comparison horizontal scanning line whether more than a weight adjusted value, to judge the pixel being likely to occur ghost.Further, through obtaining a pixel substitution value in the scope between two original pixel values, the present invention more carries out further replacing and adjusting for the pixel being likely to occur ghost.When the frequency range of signal receiving end of analogy is not enough to frequency range or the sampling frequency deficiency supporting video signal, the present invention can be effectively improved picture and the phenomenon of ghost occurs, to promote the quality of image output.In addition, multistage through the present invention goes ghost to process the adjustment with positive planning coefficient, can strengthen the effect that ghost eliminates further, thus promoting user to view and admire the viewing experience of video frequency program.
Although the present invention is disclosed above with embodiment; so it is not limited to the present invention; any art has usually intellectual; without departing from the spirit and scope of the present invention; when doing a little change and retouching, therefore protection scope of the present invention is when being as the criterion depending on the defined person of appended claims.

Claims (16)

1. a ghost eliminating method, is suitable to a video play device, it is characterised in that described method includes:
A video signal is received through a receiver port;
The N number of pixel on a horizontal scanning line is obtained according to this video signal;
The 1st pixel on this horizontal scanning line is lighted, level is adjacent along a horizontal scan direction those pixels of sequentially comparison ith pixel point and (i+1) individual pixel, adjusting weighted value judging that whether one first pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is preset more than one, wherein N one presets positive integer and i is the integer be more than or equal to 0 and less than N;
If, the pixel value of ith pixel point and the pixel value of (i+1) individual pixel are carried out calculation process and obtains one first replacement pixel value, and the pixel value of ith pixel point or the pixel value of (i+1) individual pixel are replaced with this first replacement pixel value;And
A picture is shown according to those pixels on this horizontal scanning line.
2. ghost eliminating method as claimed in claim 1, it is characterised in that more include:
If this first pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is not more than this presets adjustment weighted value, retain the pixel value of ith pixel point and the pixel value of (i+1) individual pixel.
3. ghost eliminating method as claimed in claim 1, it is characterised in that judge whether this first pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is preset, more than this, the step adjusting weighted value and included:
Subtract each other by by the pixel value of ith pixel point and the pixel value of (i+1) individual pixel, to obtain this first pixel value difference;And
Utilize normalization this first pixel value difference of coefficient adjustment, and judge whether this first pixel value difference after adjusting presets adjustment weighted value more than this.
4. ghost eliminating method as claimed in claim 3, it is characterised in that subtracting each other by by the pixel value of ith pixel point and the pixel value of (i+1) individual pixel, the step to obtain this first pixel value difference includes:
If the pixel value of ith pixel point is more than the pixel value of (i+1) individual pixel, the pixel value of ith pixel point is deducted the pixel value of (i+1) individual pixel, to obtain this first pixel value difference;And
If the pixel value of (i+1) individual pixel is more than the pixel value of ith pixel point, the pixel value of (i+1) individual pixel is deducted the pixel value of ith pixel point, to obtain this first pixel value difference.
5. ghost eliminating method as claimed in claim 1, it is characterised in that described method more includes:
Level is adjacent along this horizontal scan direction those pixels of sequentially comparison again ith pixel point and (i+1) individual pixel, adjust weighted value judging that whether one second pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is preset more than this;And
If, the pixel value of ith pixel point and the pixel of (i+1) individual pixel are carried out this calculation process and calculates one second replacement pixel value, and the pixel value of ith pixel point or the pixel value of (i+1) individual pixel are replaced with this second replacement pixel value.
6. ghost eliminating method as claimed in claim 5, it is characterised in that judge whether this second pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is preset, more than this, the step adjusting weighted value and included:
Subtract each other by by the pixel value of ith pixel point and the pixel value of (i+1) individual pixel, to obtain this second pixel value difference;And
Utilize another normalization this second pixel value difference of coefficient adjustment, and judge whether this second pixel value difference after adjusting presets adjustment weighted value more than this.
7. the ghost eliminating method as described in claim 1 or 5, it is characterized in that, the pixel value of ith pixel point and the pixel value of (i+1) individual pixel are carried out calculation process and obtains this first step replacing pixel value or the second replacement pixel value and include:
The pixel value of ith pixel point and the pixel value of (i+1) individual pixel are carried out an average computation, to obtain this first replacement pixel value or the second replacement pixel value.
8. the ghost eliminating method as described in claim 1 or 5, it is characterised in that the pixel value of the pixel value of ith pixel point or (i+1) individual pixel is replaced with this first step replacing pixel value or the second replacement pixel value and includes:
If the pixel value of ith pixel point is more than the pixel value of (i+1) individual pixel, the pixel value of ith pixel point is replaced with this first replacement pixel value or second and replaces pixel value;And
If the pixel value of (i+1) individual pixel is more than the pixel value of ith pixel point, the pixel value of (i+1) individual pixel is replaced with this first replacement pixel value or second and replaces pixel value.
9. a video play device, it is characterised in that described video play device includes:
One receiver port, receives a video signal;
One pixel sampling unit, couples this receiver port, obtains the N number of pixel on a horizontal scanning line according to this video signal;
One edge judgment unit, couple this pixel sampling unit, the 1st pixel on this horizontal scanning line is lighted, level is adjacent along a horizontal scan direction those pixels of sequentially comparison ith pixel point and (i+1) individual pixel, adjusting weighted value judging that whether one first pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is preset more than one, wherein N one presets positive integer and i is the integer be more than or equal to 0 and less than N;
One pixel substituting unit, couple this edge judgment unit, if this first pixel value difference is preset more than this and is adjusted weighted value, the pixel value of ith pixel point and the pixel value of (i+1) individual pixel are carried out calculation process and obtains one first replacement pixel value, and the pixel value of ith pixel point or the pixel value of (i+1) individual pixel are replaced with this first replacement pixel value;And
One pixel display unit, couples this pixel substituting unit, shows a picture according to those pixels on this horizontal scanning line.
10. video play device as claimed in claim 9, it is characterized in that, if this first pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is not more than this presets adjustment weighted value, this pixel substituting unit retains the pixel value of ith pixel point and the pixel value of (i+1) individual pixel.
11. video play device as claimed in claim 9, it is characterized in that, this edge judgment unit subtracts each other to obtain this first pixel value difference by by the pixel value of ith pixel point and the pixel value of (i+1) individual pixel, and utilize normalization this first pixel value difference of coefficient adjustment, and judge whether this first pixel value difference after adjusting presets adjustment weighted value more than this.
12. video play device as claimed in claim 11, it is characterized in that, if the pixel value of ith pixel point is more than the pixel value of (i+1) individual pixel, the pixel value of ith pixel point is deducted the pixel value of (i+1) individual pixel by this edge judgment unit, to obtain this first pixel value difference, if and the pixel value of (i+1) individual pixel is more than the pixel value of ith pixel point, the pixel value of (i+1) individual pixel is deducted the pixel value of ith pixel point by this edge judgment unit, to obtain this first pixel value difference.
13. video play device as claimed in claim 9, it is characterized in that, this edge judgment unit ith pixel point that level is adjacent along this horizontal scan direction those pixels of sequentially comparison again and (i+1) individual pixel, adjust weighted value judging that whether one second pixel value difference between pixel value and the pixel value of (i+1) individual pixel of ith pixel point is preset more than this, and
If this second pixel value difference is preset more than this and is adjusted weighted value, the pixel value of ith pixel point and the pixel of (i+1) individual pixel are carried out this calculation process and calculate one second replacement pixel value by this edge judgment unit, and the pixel value of ith pixel point or the pixel value of (i+1) individual pixel replace with this second replacement pixel value.
14. video play device as claimed in claim 13, it is characterized in that, this edge judgment unit subtracts each other to obtain this second pixel value difference by by the pixel value of ith pixel point and the pixel value of (i+1) individual pixel, and utilize another normalization this second pixel value difference of coefficient adjustment, and judge whether this second pixel value difference after adjusting presets adjustment weighted value more than this.
15. the video play device as described in claim 9 or 13, it is characterized in that, the pixel value of ith pixel point and the pixel value of (i+1) individual pixel are carried out an average computation by this pixel substituting unit, to obtain this first replacement pixel value or this second replacement pixel value.
16. the video play device as described in claim 9 or 13, it is characterized in that, if the pixel value of ith pixel point is more than the pixel value of (i+1) individual pixel, the pixel value of (i+1) individual pixel is replaced with this first replacement pixel value or this second replacement pixel value by this pixel substituting unit, if and the pixel value of (i+1) individual pixel is more than the pixel value of ith pixel point, the pixel value of ith pixel point is replaced with this first replacement pixel value or this second replacement pixel value by this pixel substituting unit.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1658667A (en) * 2004-02-18 2005-08-24 华亚微电子(上海)有限公司 Image edge smoothing system and method based on directional interpolation
CN100401741C (en) * 2006-08-10 2008-07-09 威盛电子股份有限公司 Weight adjusting module and weight adjusting method
US7982798B2 (en) * 2005-09-08 2011-07-19 Silicon Image, Inc. Edge detection
CN102177705A (en) * 2008-09-04 2011-09-07 晶像股份有限公司 System, method, and apparatus for smoothing of edges in images to remove irregularities
CN102281388A (en) * 2010-06-09 2011-12-14 联咏科技股份有限公司 Method and apparatus for adaptively filtering image noise

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1658667A (en) * 2004-02-18 2005-08-24 华亚微电子(上海)有限公司 Image edge smoothing system and method based on directional interpolation
US7982798B2 (en) * 2005-09-08 2011-07-19 Silicon Image, Inc. Edge detection
CN100401741C (en) * 2006-08-10 2008-07-09 威盛电子股份有限公司 Weight adjusting module and weight adjusting method
CN102177705A (en) * 2008-09-04 2011-09-07 晶像股份有限公司 System, method, and apparatus for smoothing of edges in images to remove irregularities
CN102281388A (en) * 2010-06-09 2011-12-14 联咏科技股份有限公司 Method and apparatus for adaptively filtering image noise

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