WO2002069264A1 - Procede et appareil pour reduire le bruit d'une image - Google Patents
Procede et appareil pour reduire le bruit d'une image Download PDFInfo
- Publication number
- WO2002069264A1 WO2002069264A1 PCT/JP2002/001477 JP0201477W WO02069264A1 WO 2002069264 A1 WO2002069264 A1 WO 2002069264A1 JP 0201477 W JP0201477 W JP 0201477W WO 02069264 A1 WO02069264 A1 WO 02069264A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- value
- pixel
- noise reduction
- level
- image
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000012545 processing Methods 0.000 claims abstract description 41
- 238000012935 Averaging Methods 0.000 claims abstract description 38
- 230000002093 peripheral effect Effects 0.000 claims abstract description 7
- 238000010586 diagram Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 5
- 238000001514 detection method Methods 0.000 description 3
- 238000013459 approach Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 238000004260 weight control Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/40—Picture signal circuits
- H04N1/409—Edge or detail enhancement; Noise or error suppression
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
Definitions
- the present invention relates to an image noise reduction method and apparatus suitable for use in, for example, digitizing and processing an image signal.
- the present invention relates to an image noise reduction method and apparatus which eliminates a problem when a noise component of an image signal is reduced using a so-called ⁇ -filter.
- LPF low pass filter
- such an LPF is a new value of the pixel of interest having an average value of the pixel of interest and pixels adjacent to the pixel of interest.
- the signal level of the pixel of interest that has a strong correlation with the surrounding pixels does not change significantly even if it is averaged, but the random noise components without correlation are noise components contained in the surrounding pixels.
- the value 'approaches' 0' the value 'approaches' 0'.
- e-filter has been proposed as a method for overcoming the drawbacks of LP 'F. (IEICE Vol. 77 No. 8 pp. 844-852 August 1994, Arakawa I " Nonlinear Digital Filter and Its Applications ”). That is, in the ⁇ -filter proposed in this document, when averaging the target pixel and surrounding pixels, it is first determined whether or not the surrounding pixel has a correlation with the target pixel. It is like that. 'Specifically, a certain reference level 0 is set, and if the level of the surrounding pixel falls within the range of ⁇ the level of the target pixel, it is included in the averaging factor, and if it does not fall within the range of ⁇ 0. Is not an averaging factor.
- the ⁇ -filter it is possible to suppress only the noise component while keeping the image edge by appropriately selecting the value of the reference level 0.
- figure 1 has an image area One point is shown, and the image of the pixel of interest o and its surrounding pixels a, b, c, d, e, f, g, h is imagined. Then, when the level values of these pixels are substituted by the same notation as the symbols a to h and 0, respectively, the level values a to h of these surrounding pixels are supplied to the selection circuit 2. The value of the reference level 0 and the level value 0 of the pixel of interest are input to the selection circuit 2.
- the absolute value (I a — 0 I) of the difference between the level value a of the surrounding pixel a and the level value 0 of the target pixel o is calculated, and the absolute value of this difference and the reference level 0 are calculated. Be compared. If the absolute value of the difference is smaller than the value of the reference level 0, the level value a is output to the output port 3. If the absolute value of the difference is larger than the value of the reference level 0, the value “0” is output to the output port 3 without outputting the level value a. In addition, other surrounding pixels b ⁇ ! ! Similar calculations are performed for the level values b to h of. '
- this selection circuit 2 is provided with, for example, eight output ports 3 as many as the number of surrounding pixels, and the absolute value of the above difference is smaller than the value of the reference level 0 at each of these output ports 3.
- the selection circuit 2 is provided with an output port 4, and the output port 4 is a value obtained by adding a value “1” to the number of output ports 3 from which the level values a to h are output. Is output
- the output port 3 outputs a value “0” and outputs the output port 4 Is output the value "1".
- the output from the output port 3 of the selection circuit 2 and the level value 0 of the pixel of interest 0 are supplied to the adder 5, and the value extracted to the output port 6 of the adder 5 is supplied to the divider 7. You. Further, the value from the output port 4 of the selection circuit 2 is supplied to the divider 7. In the divider 7, the value from the output port 6 of the adder 5 is divided by the value from the output port 4 of the selection circuit 2, and the value of the operation result is taken out to the output port 8.
- a certain reference level 0 is set for the output port 8, and if the level of the surrounding pixel falls within the range of ⁇ 0 of the level of the pixel of interest, it is included in the averaging element. If it is not within the range of>, it is not considered as an averaging element, and it is searched for all surrounding pixels to be included or not included in the averaging element. A new value of the pixel of interest obtained by the averaging operation with the pixel of interest is taken out with only the pixel as a calculation target.
- the specific circuit configuration of the selection circuit 2 is as shown in FIG. 6, for example. That is, in FIG.6, for example, eight comparators 20, the same as the number of the surrounding pixels described above, are provided. These comparators 20 receive the above-described level values a to h of the surrounding pixels, the level value 0 of the target pixel, and the value of the reference level 0, respectively. Each comparator 20 outputs a value “1” when the absolute value of the difference between the level value of the surrounding pixel and the target pixel is smaller than the value of the reference level 0.
- the signals from these comparators 20 are supplied to the AND gate 1 respectively.
- the level values a to h of the surrounding pixels are supplied to the end gate 21, respectively, and when the signal from the comparator 20 is “1”, the level values a to h of the corresponding surrounding pixels are set. h is output to output port 3 through AND gate 2 1.
- the comparator 20? These signals are supplied to the adder 22. Further, the addition power of the adder 22 is supplied to the adder 23, the value “1” is added, and the result is output to the output port 4.
- the absolute value of the difference between the level values a to h and the level value 0 of the pixel of interest is smaller than the value of the reference level 0 at the output port 3.
- Level values a to h are output through AND gate 21. If the absolute value of the difference is greater than the value of reference level 0, the value "0" is output. Further, a value obtained by adding the value “1” to the number of the level values a to h output to the output port 3 through the above-described gate 21 is output to the output port 4.
- the level values a to h in which the absolute value of the difference is smaller than the value of the reference level 0 and the number in which the level values a to h are output have the values " The value obtained by adding 1 "is output. Then, the level values a to h are added to the level value 0 of the pixel of interest. ! Is divided by the value obtained by adding the value "1" to the output number of, the averaging operation is performed only on the pixels that have been set as the averaging element, and the new value of the target pixel is obtained. Be sent out.
- the ⁇ -filter when the content of the subject has many high frequency components, the ⁇ -filter is turned off.
- the ⁇ -filter described above there is a choice between performing and not performing signal processing. That In some cases, the state in which processing is being performed or the state in which processing is not being performed is not always the most suitable image processing. That is, depending on the contents of the object, for example, noise may increase if no operation is performed, or image details may disappear when the operation is performed. Disclosure of the invention
- FIG. 1 is a block diagram showing a configuration of an embodiment of a selection circuit used in an image noise reduction method and apparatus to which the present invention is applied.
- FIG. 9 is a block diagram showing a configuration of another embodiment of a selection circuit used in an image noise reduction method and apparatus to which the present invention is applied.
- FIG. 3 is a configuration diagram for explaining the main part.
- FIG. 4 is a diagram for explaining the operation.
- FIG. 5 is a configuration diagram for explaining a conventional image noise reduction device.
- FIG. 6 is a block diagram showing a configuration of a selection circuit used in a conventional image noise reduction method and apparatus.
- BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described with reference to the drawings.
- FIG. 1 is a block diagram showing a configuration of an embodiment of an image noise reduction apparatus to which an image noise reduction method and apparatus according to the present invention are applied.
- parts corresponding to FIG. 5 described above are given the same reference numerals.
- figure 1 shows one point in the image area, as in FIG. 5, and the pixel of interest 0 and its surrounding pixels a, b, c, d, e, f, g, h It is an image of the situation. Then, when the level values of these pixels are substituted by the same notation as the signs & to 11 and 0, the level values a to h of these surrounding pixels are supplied to the selection circuit 2. Further, the value of the above-described reference level ⁇ and the level value 0 of the target pixel are input to the selection circuit 2.
- the absolute value (Ia-0I) of the difference between the level value a of the surrounding pixel .a and the level value 0 of the target pixel o is calculated, and the absolute value of this difference and the reference level 6> and Are compared. If the absolute value of the difference is smaller than the value of the reference level 6>, the level value a is output to the output port 3. If the absolute value of the difference is larger than the value of the reference level 0, the value “0” is output to the output port 3 without outputting the level value a. In addition, the level value b ⁇ of other surrounding pixels b ⁇ h! A similar calculation is performed for 1.
- this selection circuit 2 is provided with, for example, eight output ports 3 equal in number to the surrounding pixels, and each of these output ports 3 has the absolute value of the difference described above at the value of the reference level 6>. If the difference is smaller than the value of the reference level 0, the level value a to h is output. If the absolute value of the difference is larger than the reference level 0, the value "0" is output. Output port is connected to selection circuit 2.
- the output port 4 outputs the value of the number of output ports 3 from which the above-mentioned level values a to h are output. This point is different from FIG. That is, from the selection circuit 2, for example, when the absolute values of the differences between the target pixel and the surrounding pixels are all smaller than the value of the reference level 6>, the respective level values a to! ! Is output from output port 3 and the value "8" is output to output port 4. For example, when the absolute value of the difference between the target pixel and the surrounding pixels is all larger than the value of the reference level 0, all the values “0” are output from the output port 3 and the output port 4 Outputs the value "0".
- the above-mentioned level value 0 of the target pixel is supplied to the multiplier 9, and an arbitrary gain setting value ⁇ is supplied to the multiplier 9 to perform multiplication of [X 0]. Then, the multiplied value “ ⁇ X 0” taken out to the output port 10 of the multiplier 9 is supplied to the adder 5, and the selected level value a taken out to the output port 3 of the selection circuit 2 described above. It is added together with ⁇ h. Further, the addition value extracted at the output port 6 of the adder 5 is supplied to the divider 7.
- the gain setting value is 1, the same averaging operation as in the past is performed, and a new value of the pixel of interest calculated by the averaging operation is extracted at the output port 8. .
- the gain setting value a 8
- the proportion of the pixel of interest involved in the averaging operation increases, and the new value of the pixel of interest extracted to the output port 8 changes accordingly. Is reduced and a new value close to the original value is extracted. That is, for example, when the absolute values of the differences between the target pixel and the surrounding pixels are all smaller than the reference level 0, the value [a + b + c + d + e + f] is output to the output port 6 of the adder 5. + g + h + o; X o] is taken out. c
- the value [8 + a] is taken out from the output port 12 of the adder 11.
- divider 7
- the level value of the pixel of interest is weighted.
- the averaging operation is performed by arbitrarily controlling the proportion of the child.
- the degree of signal processing can be arbitrarily set by controlling the ratio of the pixel of interest relating to, so that optimal image processing can be performed.
- the signal processing in the so-called ⁇ -filter can be performed or not performed.
- the processing is performed, or the processing is not performed.
- these problems can be satisfactorily solved, although the state may not always be the optimum image processing.
- the gain setting value is set manually by the photographer, for example, by judging the situation of the subject. It is also possible to determine and automatically set.
- an embodiment in which such a gain setting value ⁇ can be automatically set will be described.
- the level values a to h of the surrounding pixels and the level value 0 of the pixel of interest are supplied to the arithmetic unit 13 as shown in FIG.
- the ⁇ ; calculation unit 13 for example, the spatial frequency of the image composed of the above-described pixel of interest and peripheral pixels is determined, and the distribution of the spatial frequency is determined to calculate the gain setting value. Then, the gain set value calculated by the operation unit 13 is supplied to the multiplier 10 and the adder 11 described above. Others are the same as FIG.1.
- FIG. 13 Further, regarding the specific configuration of the above-described arithmetic unit 13, FIG. 13
- the level values of the surrounding pixels a to h and the pixel of interest 0 are supplied to a spatial high-pass filter (H P 'F) 100.
- the high-pass filter 100 sets the tap coefficient of the target pixel 0 to the value “8” and the surrounding pixels a to! !
- the signal obtained at the output port 101 of the high-pass filter 100 is supplied to the absolute value circuit 102, and is obtained at the output port 103 of the absolute value circuit 102.
- the signal is a one-pass filter (L
- the signal obtained at the output port 105 of the one-pass filter 104 is supplied to the comparator 106, and is compared with an arbitrarily set (R eg) reference value to be compared and output. Is supplied to the control terminal of the selector 107.
- the output of the zero- finisher 100 becomes as shown in FIG. 4B.
- the output of Q 2 is as shown in FIG. 4C.
- the change of the input signal on the left side of the drawing is gradual.
- the output of the absolute value circuit 102 is low overall in the gentle part, but the absolute value is in the part of the right side of the drawing where the input signal changes drastically.
- the output of the optimization circuit 102 is at a high level.
- these signals are supplied to the mouth-pass filter 104 to extract a signal indicating the envelope of the entire level value as shown in FIG. 4D, and this signal is set by the comparator 106.
- a selection signal for selection can be formed, whereby the selected gain setting value is extracted from the operation unit 13.
- the gain setting value ⁇ is automatically set, and it is possible to eliminate the troublesome work of, for example, manually setting by the photographer. Further, according to this embodiment, the gain setting value a is constantly changed according to the situation of the surrounding pixels a to h and the target pixel 0. For example, detection can be performed for each part of an individual subject in one screen, and the optimum gain setting value ⁇ can be set for each part.
- the level difference between the target pixel and its surrounding pixels is detected, and only the pixels whose level difference is smaller than the reference value are selected to perform the averaging operation.
- An image noise reduction method for reducing components in which the level value of a pixel of interest is weighted, and the averaging operation is performed by arbitrarily controlling the weighting ratio, so that the so-called ⁇ -
- the degree of signal processing can be arbitrarily set by controlling the ratio of the pixel of interest involved in the calculation of the image conversion, whereby the optimum image processing can be performed.
- An image noise reduction device for reducing noise components, comprising: means for performing an averaging operation using pixels, wherein means for weighting the level value of the pixel of interest is provided, and the weighting ratio is reduced.
- the degree of signal processing can be arbitrarily set by controlling the ratio of the pixel of interest involved in the averaging operation in a so-called ⁇ filter by arbitrarily controlling and performing the averaging operation by the arithmetic means. This allows for optimal image processing Something that can be done.
- the level value of the pixel of interest is weighted, and the ratio of the weight is arbitrarily controlled to perform the averaging operation.
- the averaging operation is performed.
- the degree of signal processing can be arbitrarily set by controlling the ratio of the pixel of interest.
- the spatial frequency of the image composed of the target pixel and the peripheral pixels is determined, and the weight is controlled based on the determination result, so that the gain is automatically set. This eliminates the hassle of making settings by manual operation.
- extremely good processing can be performed by digitizing and processing each pixel level.
- the level value of the pixel of interest is weighted, and the ratio of the weight is arbitrarily controlled to perform the averaging operation.
- the degree of signal processing can be arbitrarily set by controlling the ratio of the pixel of interest involved in the calculation of image formation, and thereby optimal image processing can be performed.
- control means for controlling the weight according to the image of the subject by providing control means for controlling the weight according to the image of the subject, it is possible to optimize the weight according to the image of the subject.
- Image processing can be performed.
- the gain is automatically set. This can eliminate the hassle of, for example, manual setting by the photographer.
- the signal processing in the so-called ⁇ -filter can be performed or not performed.
- the processing is performed, or the processing is not performed.
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- General Physics & Mathematics (AREA)
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- Multimedia (AREA)
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- Facsimile Image Signal Circuits (AREA)
- Image Processing (AREA)
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020027014342A KR100949403B1 (ko) | 2001-02-26 | 2002-02-20 | 화상 노이즈 저감 방법 및 장치 |
EP02703859A EP1367536B1 (en) | 2001-02-26 | 2002-02-20 | Method and apparatus for reducing image noise |
US10/258,466 US7116837B2 (en) | 2001-02-26 | 2002-02-20 | Method and apparatus for reducing image noise |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2001050908A JP2002259965A (ja) | 2001-02-26 | 2001-02-26 | 画像ノイズ低減方法及び装置 |
JP2001-50908 | 2001-02-26 |
Publications (1)
Publication Number | Publication Date |
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WO2002069264A1 true WO2002069264A1 (fr) | 2002-09-06 |
Family
ID=18911796
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/JP2002/001477 WO2002069264A1 (fr) | 2001-02-26 | 2002-02-20 | Procede et appareil pour reduire le bruit d'une image |
Country Status (7)
Country | Link |
---|---|
US (1) | US7116837B2 (ja) |
EP (1) | EP1367536B1 (ja) |
JP (1) | JP2002259965A (ja) |
KR (1) | KR100949403B1 (ja) |
CN (1) | CN1251146C (ja) |
TW (1) | TW545043B (ja) |
WO (1) | WO2002069264A1 (ja) |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4244046B2 (ja) * | 2004-11-02 | 2009-03-25 | パナソニック株式会社 | 画像処理方法および画像処理装置 |
US7561751B2 (en) | 2004-11-02 | 2009-07-14 | Panasonic Corporation | Image processing method |
US7929798B2 (en) * | 2005-12-07 | 2011-04-19 | Micron Technology, Inc. | Method and apparatus providing noise reduction while preserving edges for imagers |
CN101473656B (zh) * | 2006-06-29 | 2011-09-14 | 汤姆森许可贸易公司 | 基于像素的自适应滤波 |
JP4288623B2 (ja) * | 2007-01-18 | 2009-07-01 | ソニー株式会社 | 撮像装置、ノイズ除去装置、ノイズ除去方法、ノイズ除去方法のプログラム及びノイズ除去方法のプログラムを記録した記録媒体 |
KR100791391B1 (ko) * | 2007-01-30 | 2008-01-07 | 삼성전자주식회사 | 노이즈 저감 방법 및 장치 |
KR100793288B1 (ko) | 2007-05-11 | 2008-01-14 | 주식회사 코아로직 | 영상 처리 장치 및 그 방법 |
JP4978402B2 (ja) | 2007-09-28 | 2012-07-18 | 富士通セミコンダクター株式会社 | 画像処理フィルタ、画像処理フィルタの画像処理方法及び画像処理フィルタを備える画像処理装置の画像処理回路 |
FR2930360B1 (fr) * | 2008-04-21 | 2010-10-08 | Inst Nat Rech Inf Automat | Dispositif de traitement d'images ameliore. |
US8666189B2 (en) * | 2008-08-05 | 2014-03-04 | Aptina Imaging Corporation | Methods and apparatus for flat region image filtering |
JP5251637B2 (ja) | 2009-03-16 | 2013-07-31 | 株式会社リコー | ノイズ低減装置、ノイズ低減方法、ノイズ低減プログラム、記録媒体 |
JP5899764B2 (ja) * | 2011-09-30 | 2016-04-06 | 大日本印刷株式会社 | 雑音除去装置、雑音除去方法、雑音除去プログラム及び記録媒体 |
JP6024107B2 (ja) | 2012-01-06 | 2016-11-09 | 株式会社リコー | 画像処理装置、撮像装置、画像処理方法およびプログラム |
JP5488621B2 (ja) | 2012-01-11 | 2014-05-14 | 株式会社デンソー | 画像処理装置、画像処理方法、及びプログラム |
CN104156922A (zh) * | 2014-08-12 | 2014-11-19 | 广州市久邦数码科技有限公司 | 一种图像处理方法及其系统 |
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- 2001-02-26 JP JP2001050908A patent/JP2002259965A/ja active Pending
-
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- 2002-02-19 TW TW091102830A patent/TW545043B/zh not_active IP Right Cessation
- 2002-02-20 CN CNB028011708A patent/CN1251146C/zh not_active Expired - Fee Related
- 2002-02-20 US US10/258,466 patent/US7116837B2/en not_active Expired - Lifetime
- 2002-02-20 KR KR1020027014342A patent/KR100949403B1/ko not_active IP Right Cessation
- 2002-02-20 EP EP02703859A patent/EP1367536B1/en not_active Expired - Lifetime
- 2002-02-20 WO PCT/JP2002/001477 patent/WO2002069264A1/ja active Application Filing
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Also Published As
Publication number | Publication date |
---|---|
US20030152287A1 (en) | 2003-08-14 |
TW545043B (en) | 2003-08-01 |
EP1367536A4 (en) | 2008-07-16 |
CN1251146C (zh) | 2006-04-12 |
US7116837B2 (en) | 2006-10-03 |
KR20020093076A (ko) | 2002-12-12 |
JP2002259965A (ja) | 2002-09-13 |
CN1461455A (zh) | 2003-12-10 |
KR100949403B1 (ko) | 2010-03-24 |
EP1367536A1 (en) | 2003-12-03 |
EP1367536B1 (en) | 2011-10-19 |
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