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Photo's - Is It Real or Fake?

Identifying Fake Images:
Identifying falsified images can be straightforward if you know a few tricks.
 
Images that we believe to be real but are in fact fake are bothersome because they unfairly manipulate our sense of truth.
 
If an image is deemed suspicious, then we can first look for clues by visual inspection and then proceed with scientific inspection if necessary.
 
A fake image created by altering the context is the hardest to positively identify as fake since the image is real and will pass scientific tests on the validity of the image itself.
 
Understanding the image formation properties of a camera can help to recognize fake images. The step-by-step physical process of forming an image is called the imaging chain and every image must adhere to the physics of an imaging chain, from the radiometric source to the final image product. Image chain analysis methods are used to examine images for evidence that the laws of physics have been broken. Any inconsistencies found within the image can be an indication the image has been altered.
 
A common inconsistency found when the image content is altered is the mismatch of radiometric or illumination conditions between the altered part and the rest of the image. The altered part of the image may have shadowing that is not consistent; indicating that is was illuminated under different conditions from rest of the image.
 
This is commonly seen when an object captured at one time of the day is added to an image that was captured at a different time of the day. Also, the light illuminating the altered part may not be consistent with the diffuse or specular light illuminating the rest of the scene. This effect is commonly seen when an object captured with a photographic flash is added to an image that was acquired with outdoor or studio lighting. Color, contrast, and tone will also vary for different illumination conditions, thus creating a mismatch of these characteristics between different images.
 
The physical traits of the image that can be assessed include the illumination conditions, edge sharpness, resolution, tone, relative scale, and noise characteristics.

Creators of fake images usually ignore the known physical properties of creating an image with a camera. The most significant camera effects are edge sharpness, influenced by the lens diffraction, focus, and motion blur; perspective geometry; and noise properties, usually from the detector and compression. Computer animated images are usually created without any camera effects since this will degrade the image quality and make the images less appealing to the audience. This, however, results in images that are physically impossible to capture with a camera in the real world.

When an object is added or deleted from an image, an edge is usually created that has a sharpness that is inconsistent with the rest of the image. Even an in-focus image will exhibit some blurring due to the diffraction of light from the camera aperture.

The behavior of the blurring in the image is well understood and can be mathematically modeled if the camera design is known. Even if the camera design is not known, measurements within the image can produce a relatively accurate mathematical model of the camera that can provide reasonable predictions. Cutting an object from one image and inserting it into another image will create a sharp edge at the boundary of the inserted object that is sharper than physically possible. This sharpness is easily seen and creates an obvious sign that the image has been altered, so smudging tools in image processing software are usually used to reduce the visibility of these edges. This smudging, however, will usually produce blurred edges around the object that are inconsistent with the rest of the image.

All objects in an image must also contain the proper perspective and geometry. The perspective of three-dimensional objects in the two-dimensional image is dictated by the viewing geometry and the camera. If the geometry of an object is inconsistent with the other objects in the image, then it was probably added from another image. For example, lines that are parallel in the scene will converge to a point called the vanishing point in the image. If the parallel lines of an object do not converge to the same vanishing point as the rest of the image, then the object could not have been imaged with the same camera or perspective as the rest of the image.

Finally, an understanding of how image processing alters the image characteristics can lead to signs of alteration. For example, when the image contrast is enhanced, the resulting gray-level histogram of the image will usually display "holes" or gray-level values that contain are no longer present in the image. An object from one image that is inserted into a second image may exhibit a different histogram that will indicate that it was not originally part of the second image. However, if an image has been enhanced using an adaptive processing algorithm, then the image characteristics, such as the gray-level histogram or the edge sharpness, can change locally even though no other alteration have been made. Adaptive processing should not be used on real images if the integrity of the image is to be preserved.

Note: If you have any image to check its authentity, please send us the same and we will do the needful.

Spiders Found in Iraq Desert

Real


Dead Wife in Coffee Table

Fake


Satellite Photo: Space Shuttle Tragedy

Fake


Tsunami Strikes Phuket, Thailand

Fake


Air Force Jets in U.S.A. Formation

Fake


World's Biggest Dog

Fake


Highest Bridge in the World

Real


Largest Cat

Real


Home Computer of the Future as Envisioned in 1954

Fake


Fishermen with Giant Catfish

Real


Cloud Formation Resembles 'Hands of God'

Fake


Black & White Twins

Real


Albino Fawn

Real


Human Remains Found in Crocodile

Real


Illegal Alien Hides in Dashboard

Real


Giant House Cat

Fake


A Snake, Fishing

Real


Giant Skeleton Found in Middle East

Fake


Giant Texas Gator

Real


Dog Meets Porcupine

Real


Pres. Bush Fishing in Hurricane

Fake


North Pole Sunset

Fake


Giant Grizzly Bear

Real


Wacky 'Drunk Building'

Real


Hand-Feeding Hummingbirds

Real


Strange Boat

Real


Monster Crocodile in the Congo

Real


Tourist Atop World Trade Center, 9/11/01

Fake


Cruel Shoes

Real


Amazingly Realistic Street Painting

Real


Indoor Ski Resort in Dubai

Real


Shark Attacks Helicopter

Fake


Sandstorm in Iraq

Real


Rare Amphibian Found in Malaysia

Fake


Alligator's Lunch

Real


Cash Seized in Drug Bust

Real


Japanese Fashion Craze

Fake


Carcass of Dead Mermaid

Fake


Space Nebula Resembles Human Eye

Real


Animal-Human Hybrid

Fake


MiG Jet Fighter Found Buried in Iraq

Real


Dead Frog Found in Can of Peas

Real


Public Toilet w/Glass

Real


Herman the Giant Bunny

Real


The Sundarbans Ghost

Fake


Live "Worm" in Patient's Eye

Real


Catfish Eats Rubber Ball

Real


Christmas at Arlington Cemetery

Real


Montana Forest Fire

Real


Mummified Fairy

Fake


Image: Mid-Air Plane Collision

Fake

Work Moose

Fake



Bed Reckoning
Claim:   Image shows dead woman who collects the souls of people who don't forward a chain e-mail message.

Fake
Origins:The sleeping person in the photo is not, as the e-mail would have it, a man but rather Thai actress Aranya Namwong. the picture came from a 2003 Thai horror film variously titled The Mother or The Unborn or Bangkok Haunted 2: The Unborn. The spooky image was used as the DVD artwork for the film.


Lifting Spirits
Claim:
  Security camera footage captures a ghost in a Singapore office building's elevator



Video shows why the effect was produced:



Another video shows how the effect was produced:






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