WO2005117414A1 - Method and system for enhancing the sharpness of a video signal. - Google Patents
Method and system for enhancing the sharpness of a video signal. Download PDFInfo
- Publication number
- WO2005117414A1 WO2005117414A1 PCT/IB2005/051590 IB2005051590W WO2005117414A1 WO 2005117414 A1 WO2005117414 A1 WO 2005117414A1 IB 2005051590 W IB2005051590 W IB 2005051590W WO 2005117414 A1 WO2005117414 A1 WO 2005117414A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- images
- sharpness
- coarse
- input
- generating
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000002708 enhancing effect Effects 0.000 title claims abstract description 22
- 238000001914 filtration Methods 0.000 claims description 12
- 230000003044 adaptive effect Effects 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 5
- 238000001228 spectrum Methods 0.000 description 17
- 230000007704 transition Effects 0.000 description 10
- 238000012545 processing Methods 0.000 description 8
- 230000001965 increasing effect Effects 0.000 description 5
- 230000006978 adaptation Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000021615 conjugation Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000877 morphologic effect Effects 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
- G06T5/73—Deblurring; Sharpening
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/142—Edging; Contouring
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/20—Circuitry for controlling amplitude response
- H04N5/205—Circuitry for controlling amplitude response for correcting amplitude versus frequency characteristic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/20—Circuitry for controlling amplitude response
- H04N5/205—Circuitry for controlling amplitude response for correcting amplitude versus frequency characteristic
- H04N5/208—Circuitry for controlling amplitude response for correcting amplitude versus frequency characteristic for compensating for attenuation of high frequency components, e.g. crispening, aperture distortion correction
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/20004—Adaptive image processing
- G06T2207/20008—Globally adaptive
Definitions
- the invention relates to a method and a system for enhancing the sharpness of a video signal.
- the invention may be used, for example, in the field of video processing.
- a first solution consists in enhancing the sharpness of the input images by means of a filter applied to all successive images. Since input images may also contain a noise component, for example, analog white noise or digital artefacts resulting from previous block-encoding and decoding operations, the noise component is also enhanced, to the detriment of the overall image quality of the resulting output images.
- a noise component for example, analog white noise or digital artefacts resulting from previous block-encoding and decoding operations
- a second solution consists not only in enhancing the sharpness of the input images by means of a filter applied to all successive images, but also in adapting the level of enhancement in accordance with the level of the noise component detected in said input images. If the noise component has a low level, the sharpness of the resulting output images is highly increased. In contrast, if the noise component has a high level, the filter is switched off (or tuned down) for avoiding enhancement of the noise component, but in that case the sharpness of the resulting output images is unfortunately close to that of the input images. This second method is thus limitative in that it is not efficient when dealing with too noisy input images.
- the method according to the invention proposes modification of input images for generating output images.
- Said method comprises the steps of: - splitting said input images into coarse images and fine images, - enhancing the sharpness of said coarse images for generating intermediate sharpness-enhanced images, - combining said intermediate sharpness-enhanced images and said fine images for generating said output images.
- This method is based on the assumption that the input images are defined as the sum of a signal component and a noise component, the signal component having a low frequency spectrum and the noise component having a high frequency spectrum.
- the part of the frequency spectrum to be enhanced in the input images is thus situated at low frequencies, while the part of the frequency spectrum not to be enhanced in the input images is situated at high frequencies.
- the step of splitting allows generation of two types of images: coarse images having a low frequency spectrum and fine images having a high frequency spectrum. This splitting allows selective enhancement of the coarse images which contain mainly a signal component.
- Performing a sharpness enhancement on images having a low frequency spectrum leads to better results than on images having a high frequency spectrum.
- This method is robust to noise because, irrespective of the noise level in the input images, the noise component is not enhanced in the resulting output images. After combining, the resulting output images still have a noise component close to that of the input images, but the overall image quality is improved because the sharpness of the signal component has been enhanced.
- Said step of splitting preferably comprises the steps of: - low-pass filtering said input images for generating said coarse images, - subtracting said coarse images from said input images for generating said fine images.
- the step of low-pass filtering is preferably adaptive to a first noise signal derived from said input images.
- the limit between the low-frequency spectrum corresponding to the signal component and the high-frequency spectrum corresponding to the noise component is defined adaptively and accurately. This allows applying the sharpness enhancement on the overall spectrum of the signal component independently of the noise level in the input images, resulting in output images with an increased sharpness.
- the step of enhancing is preferably adaptive to a second noise signal derived from said input images. This allows adaptation of the sharpness enhancement to the noise level of the input images, for example, in using a more aggressive sharpness enhancement when the noise level is high, and in using a lighter sharpness enhancement when the noise level is low.
- the step of low-pass filtering and the step of enhancing are preferably adaptive to noise signals derived from said input images.
- Fig.l depicts the general arrangement of the method according to the invention
- Fig.2 depicts a detailed arrangement of the method according to the invention
- Fig.3 illustrates, by way of an example, the sharpness enhancement of an image
- Fig.4 depicts a preferred arrangement of the method according to the invention.
- Fig.l depicts the general arrangement of the method according to the invention of modifying input images 101 for generating output images 102.
- This method comprises a step 103 of splitting said input images 101 into coarse images 104 and fine images 105.
- the frequency spectrum of the coarse images 104 corresponds to the low frequency spectrum of the input images 101, while the frequency spectrum of the fine images 105 corresponds to the high frequency spectrum of the input images 101.
- This method also comprises a step 106 of enhancing the sharpness of said coarse images 104 for generating intermediate sharpness-enhanced images 107.
- This method also comprises a step 108 of combining said intermediate sharpness- enhanced images 107 and said fine images 105 for generating said output images 102. This step 108 allows reconstruction of the output images.
- Fig.2 depicts a detailed arrangement, based on Fig.l, of the method according to the invention of modifying input images 201 for generating output images 202.
- the step 203 of splitting comprises a step F of low-pass filtering said input images 201 (via a convolution operation) for generating said coarse images 204.
- the step F of low-pass filtering implements a Gaussian filter intended to be applied on the pixels composing said coarse images 204.
- This linear filter may be defined by the following kernels kl or k2 :
- the step F of low-pass filtering may implement: - a non-linear FIR filter (e.g. having a kernel dependent on the pixel location in the images, or a kernel applied on the edges of blocks of pixels), - an order statistical filter (such as a median filter, a rank order filter or a morphological filter): it is based on sorting (or ranking) a number of pixels values and selecting given sorted pixel values based on its rank.
- the step 103 of splitting also comprises a step SUB of subtracting said coarse images 204 from said input images 201 for generating said fine images 205.
- the subtraction is done between a pixel of an input image 201 and a pixel of a coarse image 204, which pixels have the same coordinates in the images, while the subtraction is repeated for all pixels of both images.
- the step 206 of enhancing the sharpness of said coarse images 204 may consist in a non-linear processing (described in the following section) performed on pixels of the lines and/or the columns of the coarse images 204.
- the sharpness may be seen as a level transition between two data areas, which are flat or slowly varying.
- the level transitions to be enhanced are detected, for example, by applying a gradient filter to the coarse images 204, and by detecting areas that have the highest levels in these resultant filtered images.
- the step of combining comprises a step 208 of adding said intermediate sharpness- enhanced images 207 to said fine images 205, for generating said output images 202.
- Fig.3 illustrates, by way of an example, a transition signal TI of a level transition along the line of a coarse image 204.
- This transition signal comprises a first flat area having a level SI and a second flat area having a level S2.
- Fig.4 depicts a preferred arrangement, based on Fig.2, of the method according to the invention of modifying input images 201 for generating output images 202.
- This arrangement differs from Fig.2 in that the step F of low-pass filtering is adaptive to a noise signal SI derived from said input images 201.
- the filter kernel may change in accordance with the noise level carried by signal SI. The higher the noise level ⁇ in input images 201, the lower the cut-off frequency of the low-pass filter must be.
- the filter coefficients may be adaptive to the noise level ⁇ detected in input images 201, in defining each coefficient of the kernel k by a function (fl, f2,%) depending on the noise level ⁇ , as follows: fl( ⁇ ) f2( ⁇ ) f3( ⁇ ) f4( ⁇ ) £5( ⁇ ) f6( ⁇ ) (4) _f7( ⁇ ) f8( ⁇ ) f9( ⁇ )
- the functions (fl, f2, ...f9) are derived from, for example, a basic experiment.
- This arrangement also differs from Fig.2 in that the step 206 of enhancing is also adaptive to a noise signal S2 derived from said input images 201.
- This allows generating intermediate enhanced images 207 having an optimized sharpness, independently of the noise level comprised in the input images 201.
- a linear relation between ⁇ and ⁇ may be established.
- step F of filtering and the step 206 of enhancing are not necessarily adaptive to the noise level ⁇ simultaneously, and that the adaptation to the noise level ⁇ may concern only one of these two steps.
- the noise level ⁇ in input images 201 is measured by a step DET.
- This step generates a first and a second signal SI and S2 (which may be the same) proportional to said noise level ⁇ .
- the noise level ⁇ may be derived from any algorithm known to a skilled person.
- signals may reflect an analog noise measure (e.g. in using a frequency spectrum-based algorithm), and/or a digital noise measure (e.g. in using a blocking-effect detector measuring the activity at the periphery of blocks of 8*8 pixels or 16*16 pixels).
- the method according to the invention may be implemented in a system for modifying input images 101 so as to generate output images 102. This system comprises processing means for implementing the various steps of the method according to the invention previously described.
- this system comprises: - means 103 for splitting said input images 101 into coarse images 104 and fine images 105.
- the means 103 may comprise a low-pass filter intended to receive said input images 101 for generating said coarse images 104, and a subtracting means SUB for subtracting said coarse images 104 from said input images 101 so as to generate said fine images 105.
- the means 103 correspond, for example, to code instructions (i.e. a computer program) stored in a memory and executed by a signal processor.
- the low-pass filter coefficients are adapted to a signal SI reflecting a noise level derived from said input images 101.
- the means 106 correspond, for example, to code instructions (i.e. a computer program) for coding the sharpness enhancement algorithm described with reference to Fig.3, said code instructions being stored in a memory and executed by a signal processor.
- the enhancement is adapted to a signal S2 reflecting a noise level derived from said input images 101.
- the means 108 correspond, for example, to code instructions (i.e. a computer program) stored in a memory and executed by a signal processor.
- This system may be embodied as an electronic card and implemented in a video apparatus (e.g. a television set, video broadcast equipment, etc. ), said video apparatus being intended to receive said input images 101, and to display or broadcast said output images 102 on a display or on a communication channel, respectively.
- a video apparatus e.g. a television set, video broadcast equipment, etc.
- said video apparatus being intended to receive said input images 101, and to display or broadcast said output images 102 on a display or on a communication channel, respectively.
- the invention also relates to a computer program comprising code instructions for implementing the various steps of the method according to the invention. It is to be noted that the use of the verb "comprise” and its conjugations does presence of elements or steps other than those stated in the claims.
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Picture Signal Circuits (AREA)
- Studio Circuits (AREA)
- Facsimile Image Signal Circuits (AREA)
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/569,169 US20080266307A1 (en) | 2004-05-25 | 2005-05-17 | Method and System for Enhancing the Sharpness of a Video Signal |
JP2007514230A JP2008500757A (en) | 2004-05-25 | 2005-05-17 | Method and system for enhancing the sharpness of a video signal |
EP05738314A EP1754369A1 (en) | 2004-05-25 | 2005-05-17 | Method and system for enhancing the sharpness of a video signal. |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP04300301.1 | 2004-05-25 | ||
EP04300301 | 2004-05-25 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2005117414A1 true WO2005117414A1 (en) | 2005-12-08 |
Family
ID=34968342
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2005/051590 WO2005117414A1 (en) | 2004-05-25 | 2005-05-17 | Method and system for enhancing the sharpness of a video signal. |
Country Status (7)
Country | Link |
---|---|
US (1) | US20080266307A1 (en) |
EP (1) | EP1754369A1 (en) |
JP (1) | JP2008500757A (en) |
KR (1) | KR20070029176A (en) |
CN (1) | CN100473111C (en) |
TW (1) | TW200608775A (en) |
WO (1) | WO2005117414A1 (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007110844A2 (en) * | 2006-03-29 | 2007-10-04 | Koninklijke Philips Electronics N.V. | Method and system for improving visual quality of an image signal. |
JP2008283503A (en) * | 2007-05-11 | 2008-11-20 | Sony Corp | Apparatus, method, and program for video signal processing and recording medium with program of video signal processing method recorded thereon |
WO2009008778A1 (en) * | 2007-07-09 | 2009-01-15 | Flir Systems Ab | Method of processing an infrared image, infrared image capturing system and computer readable medium |
EP2320638A1 (en) * | 2008-07-15 | 2011-05-11 | Victor Company Of Japan, Limited | Device for improving image quality and method therefore |
EP2733920A4 (en) * | 2012-08-09 | 2015-07-15 | Keisoku Giken Co Ltd | Iimage enhancing device and image enhancing method |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7852412B1 (en) * | 2006-02-27 | 2010-12-14 | Nvidia Corporation | Video noise level detection |
US7952647B2 (en) * | 2006-12-27 | 2011-05-31 | Intel Corporation | Method and apparatus of content adaptive detailing filtering for digital pictures |
Citations (3)
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US4825297A (en) * | 1986-08-29 | 1989-04-25 | Agfa-Gevaert Aktiengesellschaft | Method of and apparatus for electronic contrast enhancement of reproductions of two-dimensional transparent original images |
EP0398861A2 (en) * | 1989-05-15 | 1990-11-22 | Polaroid Corporation | Method for adaptively sharpening electronic images |
US5978518A (en) * | 1997-02-25 | 1999-11-02 | Eastman Kodak Company | Image enhancement in digital image processing |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0856316A (en) * | 1994-06-09 | 1996-02-27 | Sony Corp | Image processor |
KR0176601B1 (en) * | 1996-05-21 | 1999-05-01 | 김광호 | Picture quality improving method & circuit using low-filtering and histogram equalization |
JPH114363A (en) * | 1997-06-11 | 1999-01-06 | Fujitsu General Ltd | Contour correction circuit |
US7161633B2 (en) * | 2001-01-10 | 2007-01-09 | Koninklijke Philips Electronics N.V. | Apparatus and method for providing a usefulness metric based on coding information for video enhancement |
US6950561B2 (en) * | 2001-01-10 | 2005-09-27 | Koninklijke Philips Electronics N.V. | Method and system for sharpness enhancement for coded video |
EP1379078A4 (en) * | 2001-04-11 | 2005-07-27 | Sony Corp | Contour-emphasizing circuit |
-
2005
- 2005-05-17 EP EP05738314A patent/EP1754369A1/en not_active Withdrawn
- 2005-05-17 US US11/569,169 patent/US20080266307A1/en not_active Abandoned
- 2005-05-17 CN CNB2005800166561A patent/CN100473111C/en not_active Expired - Fee Related
- 2005-05-17 JP JP2007514230A patent/JP2008500757A/en active Pending
- 2005-05-17 KR KR1020067024669A patent/KR20070029176A/en not_active Application Discontinuation
- 2005-05-17 WO PCT/IB2005/051590 patent/WO2005117414A1/en not_active Application Discontinuation
- 2005-05-20 TW TW094116510A patent/TW200608775A/en unknown
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4825297A (en) * | 1986-08-29 | 1989-04-25 | Agfa-Gevaert Aktiengesellschaft | Method of and apparatus for electronic contrast enhancement of reproductions of two-dimensional transparent original images |
EP0398861A2 (en) * | 1989-05-15 | 1990-11-22 | Polaroid Corporation | Method for adaptively sharpening electronic images |
US5978518A (en) * | 1997-02-25 | 1999-11-02 | Eastman Kodak Company | Image enhancement in digital image processing |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007110844A2 (en) * | 2006-03-29 | 2007-10-04 | Koninklijke Philips Electronics N.V. | Method and system for improving visual quality of an image signal. |
WO2007110844A3 (en) * | 2006-03-29 | 2007-12-06 | Koninkl Philips Electronics Nv | Method and system for improving visual quality of an image signal. |
JP2008283503A (en) * | 2007-05-11 | 2008-11-20 | Sony Corp | Apparatus, method, and program for video signal processing and recording medium with program of video signal processing method recorded thereon |
WO2009008778A1 (en) * | 2007-07-09 | 2009-01-15 | Flir Systems Ab | Method of processing an infrared image, infrared image capturing system and computer readable medium |
US9215384B2 (en) | 2007-07-09 | 2015-12-15 | Flir Systems Ab | Method of processing an infrared image, infrared image capturing system and computer readable medium |
EP2320638A1 (en) * | 2008-07-15 | 2011-05-11 | Victor Company Of Japan, Limited | Device for improving image quality and method therefore |
EP2320638A4 (en) * | 2008-07-15 | 2011-08-03 | Victor Company Of Japan | Device for improving image quality and method therefore |
US8363166B2 (en) | 2008-07-15 | 2013-01-29 | JVC Kenwood Corporation | Image quality improving device and method |
EP2733920A4 (en) * | 2012-08-09 | 2015-07-15 | Keisoku Giken Co Ltd | Iimage enhancing device and image enhancing method |
Also Published As
Publication number | Publication date |
---|---|
JP2008500757A (en) | 2008-01-10 |
CN101019414A (en) | 2007-08-15 |
KR20070029176A (en) | 2007-03-13 |
EP1754369A1 (en) | 2007-02-21 |
TW200608775A (en) | 2006-03-01 |
US20080266307A1 (en) | 2008-10-30 |
CN100473111C (en) | 2009-03-25 |
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