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DUKAS_191506577_ZUM
Sothebys Unveils Major Old Masters Highlights, London
November 28, 2025, London, England, United Kingdom: Sothebys staff members stand beside Rembrandt Harmensz. van Rijn's Saint John on Patmos, estimated at 5,000,000-7,000,000 GBP, during a preview at Sothebys in London. The painting will be offered in the Old Masters and 19th Century Paintings sale on 3 December. (Credit Image: © Thomas Krych/ZUMA Press Wire (FOTO: DUKAS/ZUMA)
Represented by ZUMA Press, Inc. -
DUKAS_186289551_FER
AI used to restore damaged paintings
Ferrari Press Agency
Restoration 1
Ref 16927
23/06/2025
See Ferrari text
Picture MUST credit: MIT
A technique to physically restore damaged paintings with artificial intelligence in hours rather than months has been developed.
The method involves printing a transparent "mask" containing thousands of precisely colour-matched regions that conservators can apply directly to an original artwork.
These masks can be removed whenever needed making the process reversible so it does not permanently change a painting.
To restore a painting, traditional cleaning is used to remove any previous restoration attempts.
After scanning the cleaned painting, AI algorithms analyse the image and create a virtual restoration that "predicts" what the damaged areas should look like based on the surrounding paint and the artist's style.
Custom software maps every region needing repair and determines the exact colours required for each spot.
The software then translates that information into a two-layer polymer mask printed on thin films.
One layer provides colour, while a white backing layer ensures the full colour spectrum reproduces accurately on the painting's surface.
The two layers must align precisely to produce an accurate restoration.
High-fidelity inkjet printers produce the mask layers which are aligned by hand.
They adhere to the painting using conservation-grade varnish spray.
Future removal of the mask can be done without damaging the original work.
OPS:An unrestored painting awaiting the new treatment
Picture supplied by Ferrari (FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186289695_FER
AI used to restore damaged paintings
Ferrari Press Agency
Restoration 1
Ref 16927
23/06/2025
See Ferrari text
Picture MUST credit: MIT
A technique to physically restore damaged paintings with artificial intelligence in hours rather than months has been developed.
The method involves printing a transparent "mask" containing thousands of precisely colour-matched regions that conservators can apply directly to an original artwork.
These masks can be removed whenever needed making the process reversible so it does not permanently change a painting.
To restore a painting, traditional cleaning is used to remove any previous restoration attempts.
After scanning the cleaned painting, AI algorithms analyse the image and create a virtual restoration that "predicts" what the damaged areas should look like based on the surrounding paint and the artist's style.
Custom software maps every region needing repair and determines the exact colours required for each spot.
The software then translates that information into a two-layer polymer mask printed on thin films.
One layer provides colour, while a white backing layer ensures the full colour spectrum reproduces accurately on the painting's surface.
The two layers must align precisely to produce an accurate restoration.
High-fidelity inkjet printers produce the mask layers which are aligned by hand.
They adhere to the painting using conservation-grade varnish spray.
Future removal of the mask can be done without damaging the original work.
OPS:Technqure inventor, MIT graduate student Alex Kachkine
Picture supplied by Ferrari (FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186289675_FER
AI used to restore damaged paintings
Ferrari Press Agency
Restoration 1
Ref 16927
23/06/2025
See Ferrari text
Picture MUST credit: MIT
A technique to physically restore damaged paintings with artificial intelligence in hours rather than months has been developed.
The method involves printing a transparent "mask" containing thousands of precisely colour-matched regions that conservators can apply directly to an original artwork.
These masks can be removed whenever needed making the process reversible so it does not permanently change a painting.
To restore a painting, traditional cleaning is used to remove any previous restoration attempts.
After scanning the cleaned painting, AI algorithms analyse the image and create a virtual restoration that "predicts" what the damaged areas should look like based on the surrounding paint and the artist's style.
Custom software maps every region needing repair and determines the exact colours required for each spot.
The software then translates that information into a two-layer polymer mask printed on thin films.
One layer provides colour, while a white backing layer ensures the full colour spectrum reproduces accurately on the painting's surface.
The two layers must align precisely to produce an accurate restoration.
High-fidelity inkjet printers produce the mask layers which are aligned by hand.
They adhere to the painting using conservation-grade varnish spray.
Future removal of the mask can be done without damaging the original work.
OPS:At left is the damaged piece, with the middle panel showing a map of the different kinds of damage present; green lines show full splits in the underlying panel support, thin red lines depict major paint craquelure, blue areas correspond to large paint losses, while pink regions show smaller defects like scratches. At right is the restored painting with the applied laminate mask.
Picture supplied by Ferrari (FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186289654_FER
AI used to restore damaged paintings
Ferrari Press Agency
Restoration 1
Ref 16927
23/06/2025
See Ferrari text
Picture MUST credit: MIT
A technique to physically restore damaged paintings with artificial intelligence in hours rather than months has been developed.
The method involves printing a transparent "mask" containing thousands of precisely colour-matched regions that conservators can apply directly to an original artwork.
These masks can be removed whenever needed making the process reversible so it does not permanently change a painting.
To restore a painting, traditional cleaning is used to remove any previous restoration attempts.
After scanning the cleaned painting, AI algorithms analyse the image and create a virtual restoration that "predicts" what the damaged areas should look like based on the surrounding paint and the artist's style.
Custom software maps every region needing repair and determines the exact colours required for each spot.
The software then translates that information into a two-layer polymer mask printed on thin films.
One layer provides colour, while a white backing layer ensures the full colour spectrum reproduces accurately on the painting's surface.
The two layers must align precisely to produce an accurate restoration.
High-fidelity inkjet printers produce the mask layers which are aligned by hand.
They adhere to the painting using conservation-grade varnish spray.
Future removal of the mask can be done without damaging the original work.
OPS:Exploded view rendering of the laminates and materials used in physically applying the infill mask to the damaged painting.
Picture supplied by Ferrari (FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186289633_FER
AI used to restore damaged paintings
Ferrari Press Agency
Restoration 1
Ref 16927
23/06/2025
See Ferrari text
Picture MUST credit: MIT
A technique to physically restore damaged paintings with artificial intelligence in hours rather than months has been developed.
The method involves printing a transparent "mask" containing thousands of precisely colour-matched regions that conservators can apply directly to an original artwork.
These masks can be removed whenever needed making the process reversible so it does not permanently change a painting.
To restore a painting, traditional cleaning is used to remove any previous restoration attempts.
After scanning the cleaned painting, AI algorithms analyse the image and create a virtual restoration that "predicts" what the damaged areas should look like based on the surrounding paint and the artist's style.
Custom software maps every region needing repair and determines the exact colours required for each spot.
The software then translates that information into a two-layer polymer mask printed on thin films.
One layer provides colour, while a white backing layer ensures the full colour spectrum reproduces accurately on the painting's surface.
The two layers must align precisely to produce an accurate restoration.
High-fidelity inkjet printers produce the mask layers which are aligned by hand.
They adhere to the painting using conservation-grade varnish spray.
Future removal of the mask can be done without damaging the original work.
OPS:The restorted painting after framing.
Picture supplied by Ferrari (FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186289612_FER
AI used to restore damaged paintings
Ferrari Press Agency
Restoration 1
Ref 16927
23/06/2025
See Ferrari text
Picture MUST credit: MIT
A technique to physically restore damaged paintings with artificial intelligence in hours rather than months has been developed.
The method involves printing a transparent "mask" containing thousands of precisely colour-matched regions that conservators can apply directly to an original artwork.
These masks can be removed whenever needed making the process reversible so it does not permanently change a painting.
To restore a painting, traditional cleaning is used to remove any previous restoration attempts.
After scanning the cleaned painting, AI algorithms analyse the image and create a virtual restoration that "predicts" what the damaged areas should look like based on the surrounding paint and the artist's style.
Custom software maps every region needing repair and determines the exact colours required for each spot.
The software then translates that information into a two-layer polymer mask printed on thin films.
One layer provides colour, while a white backing layer ensures the full colour spectrum reproduces accurately on the painting's surface.
The two layers must align precisely to produce an accurate restoration.
High-fidelity inkjet printers produce the mask layers which are aligned by hand.
They adhere to the painting using conservation-grade varnish spray.
Future removal of the mask can be done without damaging the original work.
OPS:The painting after restoration with the new AI method
Picture supplied by Ferrari (FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186289591_FER
AI used to restore damaged paintings
Ferrari Press Agency
Restoration 1
Ref 16927
23/06/2025
See Ferrari text
Picture MUST credit: MIT
A technique to physically restore damaged paintings with artificial intelligence in hours rather than months has been developed.
The method involves printing a transparent "mask" containing thousands of precisely colour-matched regions that conservators can apply directly to an original artwork.
These masks can be removed whenever needed making the process reversible so it does not permanently change a painting.
To restore a painting, traditional cleaning is used to remove any previous restoration attempts.
After scanning the cleaned painting, AI algorithms analyse the image and create a virtual restoration that "predicts" what the damaged areas should look like based on the surrounding paint and the artist's style.
Custom software maps every region needing repair and determines the exact colours required for each spot.
The software then translates that information into a two-layer polymer mask printed on thin films.
One layer provides colour, while a white backing layer ensures the full colour spectrum reproduces accurately on the painting's surface.
The two layers must align precisely to produce an accurate restoration.
High-fidelity inkjet printers produce the mask layers which are aligned by hand.
They adhere to the painting using conservation-grade varnish spray.
Future removal of the mask can be done without damaging the original work.
OPS:Showing the polymer layers used to retore the painting.
Picture supplied by Ferrari (FOTO: DUKAS/FERRARI PRESS) -
DUKAS_186289571_FER
AI used to restore damaged paintings
Ferrari Press Agency
Restoration 1
Ref 16927
23/06/2025
See Ferrari text
Picture MUST credit: MIT
A technique to physically restore damaged paintings with artificial intelligence in hours rather than months has been developed.
The method involves printing a transparent "mask" containing thousands of precisely colour-matched regions that conservators can apply directly to an original artwork.
These masks can be removed whenever needed making the process reversible so it does not permanently change a painting.
To restore a painting, traditional cleaning is used to remove any previous restoration attempts.
After scanning the cleaned painting, AI algorithms analyse the image and create a virtual restoration that "predicts" what the damaged areas should look like based on the surrounding paint and the artist's style.
Custom software maps every region needing repair and determines the exact colours required for each spot.
The software then translates that information into a two-layer polymer mask printed on thin films.
One layer provides colour, while a white backing layer ensures the full colour spectrum reproduces accurately on the painting's surface.
The two layers must align precisely to produce an accurate restoration.
High-fidelity inkjet printers produce the mask layers which are aligned by hand.
They adhere to the painting using conservation-grade varnish spray.
Future removal of the mask can be done without damaging the original work.
OPS:A diagnostic map of damage to a painting that is to be repaired with the new method. Green indicates complete breaks in the wood panel, red marks significant paint cracking while blue highlights major areas of paint loss. Pink identifies minor damage such as scratches.
Picture supplied by Ferrari (FOTO: DUKAS/FERRARI PRESS) -
DUKAS_161547612_REX
Roger Federer Attends The Federer Super Best Friends Night at the ATP1000 Shanghai Masters, China - 13 Oct 2023
Mandatory Credit: Photo by Costfoto/NurPhoto/Shutterstock (14148658m)
SHANGHAI, CHINA - OCTOBER 13, 2023 - Roger Federer attends the Federer Super Best Friends Night at the ATP1000 Shanghai Masters on October 13, 2023 in Shanghai, China.
Roger Federer Attends The Federer Super Best Friends Night at the ATP1000 Shanghai Masters, China - 13 Oct 2023 -
DUK10152488_012
TENNIS - Paris: Schweizer Marc-Andrea Huesler schlaegt Jannik Sinner
Mandatory Credit: Photo by David Winter/Shutterstock (13514425gb)
Marc Andrea Huesler of Switzerland
Rolex Paris Masters, Day One, Tennis, AccorHotels Arena, Paris, France - 31 Oct 2022
(c) Dukas -
DUK10152488_011
TENNIS - Paris: Schweizer Marc-Andrea Huesler schlaegt Jannik Sinner
Mandatory Credit: Photo by David Winter/Shutterstock (13514425fy)
Marc Andrea Huesler of Switzerland
Rolex Paris Masters, Day One, Tennis, AccorHotels Arena, Paris, France - 31 Oct 2022
(c) Dukas -
DUK10152488_006
TENNIS - Paris: Schweizer Marc-Andrea Huesler schlaegt Jannik Sinner
Mandatory Credit: Photo by David Winter/Shutterstock (13514425fg)
Marc Andrea Huesler of Switzerland
Rolex Paris Masters, Day One, Tennis, AccorHotels Arena, Paris, France - 31 Oct 2022
(c) Dukas -
DUK10152488_005
TENNIS - Paris: Schweizer Marc-Andrea Huesler schlaegt Jannik Sinner
Mandatory Credit: Photo by David Winter/Shutterstock (13514425fm)
Marc Andrea Huesler of Switzerland
Rolex Paris Masters, Day One, Tennis, AccorHotels Arena, Paris, France - 31 Oct 2022
(c) Dukas -
DUK10152488_004
TENNIS - Paris: Schweizer Marc-Andrea Huesler schlaegt Jannik Sinner
Mandatory Credit: Photo by David Winter/Shutterstock (13514425fr)
Marc Andrea Huesler of Switzerland
Rolex Paris Masters, Day One, Tennis, AccorHotels Arena, Paris, France - 31 Oct 2022
(c) Dukas -
DUK10152488_003
TENNIS - Paris: Schweizer Marc-Andrea Huesler schlaegt Jannik Sinner
Mandatory Credit: Photo by David Winter/Shutterstock (13514425fs)
Marc Andrea Huesler of Switzerland
Rolex Paris Masters, Day One, Tennis, AccorHotels Arena, Paris, France - 31 Oct 2022
(c) Dukas -
DUK10152488_002
TENNIS - Paris: Schweizer Marc-Andrea Huesler schlaegt Jannik Sinner
Mandatory Credit: Photo by David Winter/Shutterstock (13514425fu)
Marc Andrea Huesler of Switzerland
Rolex Paris Masters, Day One, Tennis, AccorHotels Arena, Paris, France - 31 Oct 2022
(c) Dukas -
DUK10148988_011
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423aa)
Danny Willett of England hits his tee shot on the 4th hole in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_010
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423t)
Hideki Matsuyama of Japan hits a pitch shot to the 3rd green in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_009
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423z)
Matthew Wolff hits his tee shot on the 4th hole in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_008
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423u)
Kevin Kisner putts on the 3rd green in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_007
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423o)
Kevin Kisner hits his tee shot on the 4th hole in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_006
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423p)
Shane Lowery of Ireland reacts after his tee shot on the 4th hole hits the pin in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_005
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423v)
Cameron Smith of Australia hits his tee shot on the 4th hole in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_004
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423r)
Talor Gooch hits his tee shot on the 4th hole in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_003
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423m)
Shane Lowery of Ireland reacts jokingly after his tee shot on the 4th hole hits the pin in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_002
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423l)
Daniel Berger hits his tee shot on the 4th hole in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148988_001
GOLF - Erster Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423i)
Tiger Woods hits his tee shot on the 4th hole in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_009
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12885383ax)
Tiger Woods walks down the fairway on the 1st hole on the first day of the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_008
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423ah)
Tiger Woods walks to the 13th green in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_007
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by John Angelillo/UPI/Shutterstock (12885423ag)
Tiger Woods putts on the 13th green in the first round of The Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_006
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12885383an)
Tiger Woods exchanges clubs with his caddie Joe LaCava on the 7th hole on the first day of the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_005
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12885383bc)
Tiger Woods wipes his face on a towel after putting on the 7th hole on the first day of the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_004
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12885383az)
Tiger Woods wipes his face as Joaquin Neimann of Chile stands near on the 7th hole on the first day of the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_003
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12885383aq)
Tiger Woods walks to the green on the 7th hole on the first day of the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_002
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12885383ba)
Tiger Woods walks off the 8th green after putting on the first day of the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148987_001
GOLF - Tiger Woods am ersten Tag des Masters-Golfturniers in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12885383ar)
Tiger Woods watches his approach shot on the 7th hole on the first day of the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Thursday, April 7, 2022.
2022 Masters, Augusta, Georgia, United States - 07 Apr 2022
(c) Dukas -
DUK10148958_011
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165n)
Tiger Woods and Justin Thomas putt on the 15th green during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_010
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165t)
Tiger Woods stands on the 17th green during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_009
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165ab)
Tiger Woods looks at the green on the 15th hole during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_008
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165aa)
Tiger Woods and Justin Thomas putt on the 15th green during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_007
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165q)
Tiger Woods talks to Fred Couples on the 15th green during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_006
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165r)
Tiger Woods walks through the gallery to the 18th tee during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_005
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165l)
Tiger Woods walks down the fairway on the 15th hole during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_004
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165h)
Tiger Woods putts on the 15th green during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_003
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165c)
Tiger Woods putts on the 15th green during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_002
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165d)
Tiger Woods walks onto the green on the 15th hole during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10148958_001
GOLF - Tiger Woods spielt am Masters in Augusta
Mandatory Credit: Photo by Bob Strong/UPI/Shutterstock (12884165j)
Tiger Woods gestures after putting on the 15th green during a practice round at the Masters golf tournament at Augusta National Golf Club in Augusta, Georgia on Wednesday, April 6, 2022.
2022 Masters, Augusta, Georgia, United States - 06 Apr 2022
(c) Dukas -
DUK10144635_009
NEWS - London macht sich hässlich: Neuer Kunsthügel am Marble Arch
the Marble Arch Mound will be free August to go up the much-ridiculed Marble Arch Mound, Credit:Krisztian Elek / Avalon
(c) Dukas -
DUK10144635_008
NEWS - London macht sich hässlich: Neuer Kunsthügel am Marble Arch
the Marble Arch Mound will be free August to go up the much-ridiculed Marble Arch Mound, Credit:Krisztian Elek / Avalon
(c) Dukas -
